# v5

Published articles for v5.

This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles.

## Deferred Schema Loading in Filament v5.8

DevFeed: [Deferred Schema Loading in Filament v5.8](<https://devfeed.tech/articles/deferred-schema-loading-in-filament-v5-8-104142.md>)

Original publisher: [Read original article](<https://laravel-news.com/filament-5-8-0>)

Author: Paul Redmond

Published: 2026-10-26T23:33:43Z

Content type: release

Language: en

Sources: [Laravel](<https://devfeed.tech/sources/laravel.md>)

Topics: [lazy loading](<https://devfeed.tech/topics/lazy-loading.md>), [Laravel Boost](<https://devfeed.tech/topics/laravel-boost.md>), [Livewire](<https://devfeed.tech/topics/livewire.md>)

Tags: [403](<https://devfeed.tech/tags/403.md>), [actions](<https://devfeed.tech/tags/actions.md>), [addition](<https://devfeed.tech/tags/addition.md>), [agent](<https://devfeed.tech/tags/agent.md>), [agent-skill](<https://devfeed.tech/tags/agent-skill.md>), [agent-skills](<https://devfeed.tech/tags/agent-skills.md>), [also](<https://devfeed.tech/tags/also.md>), [app](<https://devfeed.tech/tags/app.md>), [argument](<https://devfeed.tech/tags/argument.md>), [deferred](<https://devfeed.tech/tags/deferred.md>), [filament](<https://devfeed.tech/tags/filament.md>), [first](<https://devfeed.tech/tags/first.md>), [hooks](<https://devfeed.tech/tags/hooks.md>), [laravel](<https://devfeed.tech/tags/laravel.md>), [lifecycle](<https://devfeed.tech/tags/lifecycle.md>), [loading](<https://devfeed.tech/tags/loading.md>), [news](<https://devfeed.tech/tags/news.md>), [schema](<https://devfeed.tech/tags/schema.md>), [table](<https://devfeed.tech/tags/table.md>), [this](<https://devfeed.tech/tags/this.md>), [v5](<https://devfeed.tech/tags/v5.md>)

### AI overview

Filament v5.8.0 adds `deferLoading()` to render a child schema only when its section, tab, wizard step, repeater item, or builder block is reached, reducing initial rendering of content users may not open. Other changes include session-persisted table grouping, configurable default grouping direction, and trait-specific lifecycle hooks that run after a page's own hook. The release also adds stat placeholders, reusable multi-factor challenges, editor height limits, and format-specific export downloaders. Custom downloaders can return a response or redirect to a temporary remote URL, offering an alternative where streamed downloads are blocked by some hosts. The excerpt notes that empty multi-factor schemas validate successfully, so enabled providers should be checked again before validation. These details cover the supplied excerpt.

### Source excerpt

Filament v5.8 adds deferLoading() for sections, tabs, wizards, and repeater items, plus session-persisted table grouping and lifecycle hooks in traits. The post Deferred Schema Loading in Filament v5.8 appeared first on Laravel News. Join the Laravel Newsletter to get Laravel articles like this directly in your inbox.

## Scalable PDF Retrieval with Cohere Embed 5 and Qdrant Asymmetric Quantization

DevFeed: [Scalable PDF Retrieval with Cohere Embed 5 and Qdrant Asymmetric Quantization](<https://devfeed.tech/articles/scalable-pdf-retrieval-with-cohere-embed-5-and-qdrant-asymmetric-quantization-97697.md>)

Original publisher: [Read original article](<https://qdrant.tech/blog/cohere-embed-5-qdrant/>)

Author: info@qdrant.tech (Andrey Vasnetsov)

Published: 2026-10-23T00:00:00Z

Content type: article

Language: en

Sources: [Qdrant Blog on Qdrant - Vector Search Engine](<https://devfeed.tech/sources/qdrant-blog-on-qdrant-vector-search-engine.md>)

Topics: [information retrieval](<https://devfeed.tech/topics/information-retrieval.md>), [Cohere API for embeddings](<https://devfeed.tech/topics/cohere-api-for-embeddings.md>), [Qdrant](<https://devfeed.tech/topics/qdrant.md>), [quantization](<https://devfeed.tech/topics/quantization.md>), [Embeddings](<https://devfeed.tech/topics/embeddings.md>), [search-engines](<https://devfeed.tech/topics/search-engines.md>), [cohere](<https://devfeed.tech/topics/cohere.md>)

Tags: [approximate-nearest-neighbor-search](<https://devfeed.tech/tags/approximate-nearest-neighbor-search.md>), [bert](<https://devfeed.tech/tags/bert.md>), [cohere](<https://devfeed.tech/tags/cohere.md>), [embedding](<https://devfeed.tech/tags/embedding.md>), [embeddings](<https://devfeed.tech/tags/embeddings.md>), [family](<https://devfeed.tech/tags/family.md>), [fast](<https://devfeed.tech/tags/fast.md>), [fasttext](<https://devfeed.tech/tags/fasttext.md>), [hnsw](<https://devfeed.tech/tags/hnsw.md>), [image-search](<https://devfeed.tech/tags/image-search.md>), [images](<https://devfeed.tech/tags/images.md>), [knn-algorithm](<https://devfeed.tech/tags/knn-algorithm.md>), [languages](<https://devfeed.tech/tags/languages.md>), [lighter](<https://devfeed.tech/tags/lighter.md>), [matching](<https://devfeed.tech/tags/matching.md>), [model](<https://devfeed.tech/tags/model.md>), [models](<https://devfeed.tech/tags/models.md>), [neural-network](<https://devfeed.tech/tags/neural-network.md>), [pdf](<https://devfeed.tech/tags/pdf.md>), [qdrant](<https://devfeed.tech/tags/qdrant.md>), [quality](<https://devfeed.tech/tags/quality.md>), [quantization](<https://devfeed.tech/tags/quantization.md>), [recommender-system](<https://devfeed.tech/tags/recommender-system.md>), [retrieval](<https://devfeed.tech/tags/retrieval.md>), [saas](<https://devfeed.tech/tags/saas.md>), [share](<https://devfeed.tech/tags/share.md>), [simaes-networks](<https://devfeed.tech/tags/simaes-networks.md>), [similarity](<https://devfeed.tech/tags/similarity.md>), [space](<https://devfeed.tech/tags/space.md>), [support](<https://devfeed.tech/tags/support.md>), [text](<https://devfeed.tech/tags/text.md>), [transformer](<https://devfeed.tech/tags/transformer.md>), [v5](<https://devfeed.tech/tags/v5.md>), [vector-search](<https://devfeed.tech/tags/vector-search.md>), [vector-search-engine](<https://devfeed.tech/tags/vector-search-engine.md>), [vectors](<https://devfeed.tech/tags/vectors.md>), [with](<https://devfeed.tech/tags/with.md>), [word2vec](<https://devfeed.tech/tags/word2vec.md>)

### AI overview

On five public English ViDoRe V3 corpora, Embed 5 Pro's single dense vector for each PDF page image scored above several tested late-interaction models, according to the article's standard nDCG comparison. The authors' Qdrant recipe uses 512-dimensional, 1-bit page vectors and 8-bit query encoding to retrieve 20 candidates, then re-scores them with full vectors. It retained 99.2% of full-vector ranking quality while using 64 bytes per page for search vectors in RAM; full vectors remain on disk and candidate reads add latency and may populate the OS page cache. These figures exclude indexes and payloads, and the authors note possible training-data overlap. If OCR already works in a pipeline, Cohere Rerank 5 can rerank OCR text (it does not take images); on the same corpora, reranking the top 20 improved mean nDCG@10 from 66.8 to 73.2 with full-vector text search and from 66.2 to 71.7 with the compressed recipe.

### Source excerpt

Cohere released Embed 5, a family of embedding models. The family has a quality-focused model, Embed 5 Pro (embed-v5.0-pro), and a lighter one, Embed 5 Fast (embed-v5.0-fast). Both accept text and images, support 100+ languages, and share an embedding space.

## CoreWeave Delivers Breakthrough AI Performance with NVIDIA GB200 and H200 GPUs in MLPerf Inference v5.0

DevFeed: [CoreWeave Delivers Breakthrough AI Performance with NVIDIA GB200 and H200 GPUs in MLPerf Inference v5.0](<https://devfeed.tech/articles/coreweave-delivers-breakthrough-ai-performance-with-nvidia-gb200-and-h200-gpus-in-mlperf-inference-v5-0-96104.md>)

Original publisher: [Read original article](<https://wf.coreweave.com/blog/coreweave-delivers-breakthrough-ai-performance-with-nvidia-gb200-and-h200-gpus-in-mlperf-inference-v5-0>)

Author: CoreWeave

Published: 2026-10-22T16:27:39Z

Content type: news

Language: en

Sources: [Coreweave Blog Posts](<https://devfeed.tech/sources/coreweave-blog-posts.md>)

Topics: [GB200](<https://devfeed.tech/topics/gb200.md>), [performance-engineering](<https://devfeed.tech/topics/performance-engineering.md>), [LLM optimization](<https://devfeed.tech/topics/llm-optimization.md>), [AI Infrastructure](<https://devfeed.tech/topics/ai-infrastructure.md>), [GPU optimization](<https://devfeed.tech/topics/gpu-optimization.md>), [quantization](<https://devfeed.tech/topics/quantization.md>)

Tags: [000](<https://devfeed.tech/tags/000.md>), [2](<https://devfeed.tech/tags/2.md>), [2023](<https://devfeed.tech/tags/2023.md>), [2025](<https://devfeed.tech/tags/2025.md>), [3](<https://devfeed.tech/tags/3.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-inference](<https://devfeed.tech/tags/ai-inference.md>), [ai-performance](<https://devfeed.tech/tags/ai-performance.md>), [content-type](<https://devfeed.tech/tags/content-type.md>), [coreweave](<https://devfeed.tech/tags/coreweave.md>), [gb200](<https://devfeed.tech/tags/gb200.md>), [gpus](<https://devfeed.tech/tags/gpus.md>), [inference](<https://devfeed.tech/tags/inference.md>), [llama](<https://devfeed.tech/tags/llama.md>), [mlperf](<https://devfeed.tech/tags/mlperf.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [performance](<https://devfeed.tech/tags/performance.md>), [results](<https://devfeed.tech/tags/results.md>), [top](<https://devfeed.tech/tags/top.md>), [v5](<https://devfeed.tech/tags/v5.md>), [with](<https://devfeed.tech/tags/with.md>)

### AI overview

CoreWeave reports MLPerf Inference v5.0 results of over 800 tokens per second on Llama 3.1 405B using a GB200 instance with four Blackwell GPUs, and 33,000 tokens per second on Llama 2 70B using H200 GPUs. It says GB200 delivered 2.86x per-GPU throughput versus NVIDIA's H200 submission, while noting that the comparison uses FP4 for Blackwell and FP8 for H200. The H200 result was 40% above the fastest H100 submission for Llama 2 70B in v4.1, but the H200 used FP8 and that H100 result used FP16. The figures also use different MLPerf scenarios: GB200 Offline and H200 Server. CoreWeave attributes performance to its GPU, CPU and InfiniBand infrastructure, cluster monitoring and node replacement, bare-metal Kubernetes, topology-aware scheduling, and Tensorizer model loading.

### Source excerpt

CoreWeave achieved top MLPerf v5.0 AI inference results, delivering 800 TPS on Llama 3.1 405B with NVIDIA GB200 and 33,000 TPS on Llama 2 70B with H200 GPUs, marking significant performance gains.

## Accelerating AI Leadership: How CoreWeave's MLPerf Results Unlock Customer Innovation

DevFeed: [Accelerating AI Leadership: How CoreWeave's MLPerf Results Unlock Customer Innovation](<https://devfeed.tech/articles/accelerating-ai-leadership-how-coreweave-s-mlperf-results-unlock-customer-innovation-96077.md>)

Original publisher: [Read original article](<https://wf.coreweave.com/blog/accelerating-ai-leadership-how-coreweaves-mlperf-results-unlock-customer-innovation>)

Author: CoreWeave

Published: 2026-10-22T16:27:39Z

Content type: article

Language: en

Sources: [Coreweave Blog Posts](<https://devfeed.tech/sources/coreweave-blog-posts.md>)

Topics: [AI Factory](<https://devfeed.tech/topics/ai-factory.md>), [Benchmark](<https://devfeed.tech/topics/benchmark.md>), [High-Performance Computing](<https://devfeed.tech/topics/high-performance-computing.md>), [scheduling](<https://devfeed.tech/topics/scheduling.md>), [BlueField DPU](<https://devfeed.tech/topics/bluefield-dpu.md>), [Developer Enablement](<https://devfeed.tech/topics/developer-enablement.md>)

Tags: [accelerate](<https://devfeed.tech/tags/accelerate.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-cloud](<https://devfeed.tech/tags/ai-cloud.md>), [ai-infrastructure](<https://devfeed.tech/tags/ai-infrastructure.md>), [ai-labs](<https://devfeed.tech/tags/ai-labs.md>), [ai-performance](<https://devfeed.tech/tags/ai-performance.md>), [ai-training](<https://devfeed.tech/tags/ai-training.md>), [content-type](<https://devfeed.tech/tags/content-type.md>), [coreweave](<https://devfeed.tech/tags/coreweave.md>), [cost](<https://devfeed.tech/tags/cost.md>), [customer](<https://devfeed.tech/tags/customer.md>), [customers](<https://devfeed.tech/tags/customers.md>), [faster](<https://devfeed.tech/tags/faster.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [innovation](<https://devfeed.tech/tags/innovation.md>), [leadership](<https://devfeed.tech/tags/leadership.md>), [mlperf](<https://devfeed.tech/tags/mlperf.md>), [performance](<https://devfeed.tech/tags/performance.md>), [records](<https://devfeed.tech/tags/records.md>), [results](<https://devfeed.tech/tags/results.md>), [v5](<https://devfeed.tech/tags/v5.md>)

### AI overview

In MLPerf Training v5.0, CoreWeave reports training the Llama 3.1 405B benchmark in 27.3 minutes using a 2,496-NVIDIA-Blackwell-GPU cluster, which it says was more than twice as fast as similarly sized Hopper GPU clusters. The excerpt attributes performance to AI-focused data centers, bare-metal GPU access, high-bandwidth storage and Quantum InfiniBand networking, plus SUNK scheduling within GB200 NVL72 NVLink domains, bare-metal Kubernetes, and Mission Control monitoring. CoreWeave also claims customer workloads can train up to twice as fast as on competing cloud providers and achieve at least 14% better price-adjusted performance. These are claims in the supplied excerpt; it does not provide independent comparisons or methodology for the customer figures.

### Source excerpt

CoreWeave's MLPerf v5.0 results set new AI performance records, helping customers innovate faster with optimized, cost-efficient infrastructure.

## Train Qwen3 on AWS Trainium with torchtitan

DevFeed: [Train Qwen3 on AWS Trainium with torchtitan](<https://devfeed.tech/articles/train-qwen3-on-aws-trainium-with-torchtitan-93901.md>)

Original publisher: [Read original article](<https://aws.amazon.com/blogs/machine-learning/train-qwen3-on-aws-trainium-with-torchtitan/>)

Author: Josh Longenecker

Published: 2026-10-21T20:00:22Z

Content type: tutorial

Language: en

Sources: [Artificial Intelligence](<https://devfeed.tech/sources/artificial-intelligence.md>)

Topics: [AWS Trainium](<https://devfeed.tech/topics/aws-trainium.md>), [neuron](<https://devfeed.tech/topics/neuron.md>), [Mixture of Experts (MoE)](<https://devfeed.tech/topics/mixture-of-experts-moe.md>), [AI Infrastructure](<https://devfeed.tech/topics/ai-infrastructure.md>), [AWS AI chips](<https://devfeed.tech/topics/aws-ai-chips.md>), [hugging face](<https://devfeed.tech/topics/hugging-face.md>)

Tags: [advanced-300](<https://devfeed.tech/tags/advanced-300.md>), [all](<https://devfeed.tech/tags/all.md>), [aws](<https://devfeed.tech/tags/aws.md>), [aws-trainium](<https://devfeed.tech/tags/aws-trainium.md>), [backend](<https://devfeed.tech/tags/backend.md>), [config](<https://devfeed.tech/tags/config.md>), [experts](<https://devfeed.tech/tags/experts.md>), [hugging-face](<https://devfeed.tech/tags/hugging-face.md>), [kernels](<https://devfeed.tech/tags/kernels.md>), [loading](<https://devfeed.tech/tags/loading.md>), [mixture-of-experts](<https://devfeed.tech/tags/mixture-of-experts.md>), [modeling](<https://devfeed.tech/tags/modeling.md>), [native](<https://devfeed.tech/tags/native.md>), [qwen3](<https://devfeed.tech/tags/qwen3.md>), [safetensors](<https://devfeed.tech/tags/safetensors.md>), [structure](<https://devfeed.tech/tags/structure.md>), [technical-how-to](<https://devfeed.tech/tags/technical-how-to.md>), [train](<https://devfeed.tech/tags/train.md>), [trainium](<https://devfeed.tech/tags/trainium.md>), [transformers](<https://devfeed.tech/tags/transformers.md>), [v5](<https://devfeed.tech/tags/v5.md>), [with](<https://devfeed.tech/tags/with.md>)

### AI overview

On a single AWS Trainium trn2.48xlarge, torchtitan can train Qwen3 through three paths using the same torchrun launcher and config structure: Transformers v5 via AutoModelForCausalLM, torchtitan's native Qwen3 model selected with config.model_spec, or NKI kernels for mixture-of-experts layers. The Transformers path can load published Hugging Face weights and save standard safetensors; the article reports a first-step loss of 6.54 from published weights versus 12.43 from random initialization for Qwen3-4B-Instruct-2507. The NKI example uses 64 data-parallel ranks without expert parallelism, and reduces Qwen3-30B-A3B to four layers and 64 experts to fit the instance. Custom NKI operators can be attached through torchtitan's override registry, but the rotary-kernel example demonstrates registration and autograd integration, not a performance gain. Pin the walkthrough's versions because the Transformers integration and Trainium overrides can change between torchtitan releases.

### Source excerpt

Train Qwen3 on AWS Trainium with torchtitan three ways on a single trn2.48xlarge: the Hugging Face Transformers v5 modeling backend, torchtitan's native Qwen3, and NKI mixture-of-experts kernels. The same torchrun launcher and config structure work unchanged across all three paths, including loading and saving published Hugging Face safetensors.

## Harness Named a Leader in SecureIQLab's August 2026 Cloud WAAP v5.0 Validation Report

DevFeed: [Harness Named a Leader in SecureIQLab's August 2026 Cloud WAAP v5.0 Validation Report](<https://devfeed.tech/articles/harness-is-a-leader-in-waap-evaluation-13411.md>)

Original publisher: [Read original article](<https://www.harness.io/blog/harness-named-a-leader-in-secureiqlabs-cloud-waap-v5-0-cyberrisk-validation-report>)

Author: Christine Ferrusi Ross

Published: 2026-09-11T00:00:00Z

Content type: news

Language: en

Sources: [Harness](<https://devfeed.tech/sources/harness-blog.md>)

Topics: [Security](<https://devfeed.tech/topics/security.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>), [API](<https://devfeed.tech/topics/api.md>), [Web](<https://devfeed.tech/topics/web.md>), [Software Testing](<https://devfeed.tech/topics/software-testing.md>)

Tags: [2026](<https://devfeed.tech/tags/2026.md>), [ai-security](<https://devfeed.tech/tags/ai-security.md>), [api](<https://devfeed.tech/tags/api.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [harness](<https://devfeed.tech/tags/harness.md>), [protection](<https://devfeed.tech/tags/protection.md>), [report](<https://devfeed.tech/tags/report.md>), [security](<https://devfeed.tech/tags/security.md>), [testing](<https://devfeed.tech/tags/testing.md>), [v5](<https://devfeed.tech/tags/v5.md>), [validation](<https://devfeed.tech/tags/validation.md>), [web](<https://devfeed.tech/tags/web.md>)

### AI overview

Harness Web Application & API Protection was named a Leader in SecureIQLab's August 2026 Cloud WAAP v5.0 CyberRisk Validation Comparative Report. The article highlights reported scores for API protection, advanced-threat coverage, deployment and management, false-positive avoidance, and GenAI and LLM operational efficiency.

### Source excerpt

In the August 2026 SecureIQLab Cloud WAAP v5.0 CyberRisk Validation Comparative Report, Harness Web Application & API Protection (WAAP) was named a Leader. | Blog

## Solana Changelog: August 27, 2026

DevFeed: [Solana Changelog: August 27, 2026](<https://devfeed.tech/articles/solana-changelog-august-27-2026-17250.md>)

Original publisher: [Read original article](<https://solana.com/news/solana-changelog-august-27-2026>)

Author: Solana Foundation

Published: 2026-08-28T16:00:00Z

Content type: release

Language: en

Sources: [Solana News Feed](<https://devfeed.tech/sources/solana-news-feed.md>)

Topics: [changelog](<https://devfeed.tech/topics/changelog.md>), [Solana](<https://devfeed.tech/topics/solana.md>), [releases](<https://devfeed.tech/topics/releases.md>), [Developer Tools](<https://devfeed.tech/topics/developer-tools.md>), [SDK](<https://devfeed.tech/topics/sdk.md>), [Transactions](<https://devfeed.tech/topics/transactions.md>), [Network](<https://devfeed.tech/topics/network.md>)

Tags: [2026](<https://devfeed.tech/tags/2026.md>), [announcements](<https://devfeed.tech/tags/announcements.md>), [blockchain](<https://devfeed.tech/tags/blockchain.md>), [blockchain-technology](<https://devfeed.tech/tags/blockchain-technology.md>), [changelog](<https://devfeed.tech/tags/changelog.md>), [crypto-news](<https://devfeed.tech/tags/crypto-news.md>), [cryptocurrency](<https://devfeed.tech/tags/cryptocurrency.md>), [defi](<https://devfeed.tech/tags/defi.md>), [developers](<https://devfeed.tech/tags/developers.md>), [javascript](<https://devfeed.tech/tags/javascript.md>), [network](<https://devfeed.tech/tags/network.md>), [newsletter](<https://devfeed.tech/tags/newsletter.md>), [nfts](<https://devfeed.tech/tags/nfts.md>), [podcasts](<https://devfeed.tech/tags/podcasts.md>), [release](<https://devfeed.tech/tags/release.md>), [releases](<https://devfeed.tech/tags/releases.md>), [sdk](<https://devfeed.tech/tags/sdk.md>), [sdks](<https://devfeed.tech/tags/sdks.md>), [solana](<https://devfeed.tech/tags/solana.md>), [solana-ecosystem](<https://devfeed.tech/tags/solana-ecosystem.md>), [technology](<https://devfeed.tech/tags/technology.md>), [tooling](<https://devfeed.tech/tags/tooling.md>), [transactions](<https://devfeed.tech/tags/transactions.md>), [v5](<https://devfeed.tech/tags/v5.md>), [web3](<https://devfeed.tech/tags/web3.md>)

### AI overview

The August 27, 2026 Solana changelog covers approaching V1 Transactions, a Mainnet feature gate reducing slot time to 300ms, releases across Solana tooling and SDKs, and proposed protocol changes.

### Source excerpt

V1 Transactions are approaching, while a 300ms slot-time feature gate reached Mainnet and new releases shipped across Solana tooling.

## Introducing v5 Droplets: next-generation performance, sized to your workload

DevFeed: [Introducing v5 Droplets: next-generation performance, sized to your workload](<https://devfeed.tech/articles/introducing-v5-droplets-next-generation-performance-sized-to-your-workload-19897.md>)

Original publisher: [Read original article](<https://www.digitalocean.com/blog/introducing-v5-droplets>)

Author: Krishna Nallamothu

Published: 2026-08-26T02:19:47Z

Content type: release

Language: en

Sources: [DigitalOcean](<https://devfeed.tech/sources/digitalocean.md>)

Topics: [High-Performance Computing](<https://devfeed.tech/topics/high-performance-computing.md>), [Xeon 600](<https://devfeed.tech/topics/xeon-600.md>), [Load Balancing](<https://devfeed.tech/topics/load-balancing.md>), [Performance Testing](<https://devfeed.tech/topics/performance-testing.md>), [Web app](<https://devfeed.tech/topics/webapp.md>), [autoscaling](<https://devfeed.tech/topics/autoscaling.md>), [NVIDIA Vera](<https://devfeed.tech/topics/nvidia-vera.md>)

Tags: [agentic](<https://devfeed.tech/tags/agentic.md>), [agentic-ai](<https://devfeed.tech/tags/agentic-ai.md>), [ai-applications](<https://devfeed.tech/tags/ai-applications.md>), [ai-ml](<https://devfeed.tech/tags/ai-ml.md>), [amd](<https://devfeed.tech/tags/amd.md>), [apis](<https://devfeed.tech/tags/apis.md>), [applications](<https://devfeed.tech/tags/applications.md>), [audio](<https://devfeed.tech/tags/audio.md>), [compute](<https://devfeed.tech/tags/compute.md>), [distributed](<https://devfeed.tech/tags/distributed.md>), [droplets](<https://devfeed.tech/tags/droplets.md>), [generation](<https://devfeed.tech/tags/generation.md>), [next](<https://devfeed.tech/tags/next.md>), [performance](<https://devfeed.tech/tags/performance.md>), [platforms](<https://devfeed.tech/tags/platforms.md>), [product-updates](<https://devfeed.tech/tags/product-updates.md>), [storage](<https://devfeed.tech/tags/storage.md>), [traffic](<https://devfeed.tech/tags/traffic.md>), [v5](<https://devfeed.tech/tags/v5.md>), [video](<https://devfeed.tech/tags/video.md>), [web](<https://devfeed.tech/tags/web.md>)

### AI overview

DigitalOcean's v5 Droplets use 5th Gen AMD EPYC processors and offer up to 30% higher performance per core than the previous generation. Customers can choose vCPU, memory and storage independently, or continue using bundled plans. Shared s5 Droplets target bursty workloads; general purpose g5 Droplets provide dedicated CPU and memory ratios from 2x to 8x per vCPU. Pricing is hourly, with resource prices shown during configuration and one line per Droplet on the bill. The excerpt reports 2x performance for early game server and high-throughput e-commerce customers. Existing Droplet plans, prices and monthly caps remain unchanged, with no migration required.

### Source excerpt

We're excited to introduce v5 Droplets, a new generation of compute built on 5th Gen AMD EPYC™ processors. v5 Droplets are purpose built to deliver higher performance for demanding workloads such as compute-intensive agentic AI platforms, AI/ML tools, high throughput audio/video transcoding, and high-traffic distributed web applications and APIs. v5 Droplets deliver up to 30% higher performance per core than our previous-generation Droplets. For the first time, you can select vCPU, memory, and storage independently and pay for only the resources you choose. Your Droplet fits your application, and your bill reflects exactly what you used, nothing more. You can continue creating bundled Droplets the way you're used to, or choose v5 Droplets for next-generation workload-optimized performance. Designed for workloads that need more More teams are building AI applications, agent platforms, bursty data pipelines, and hosting high-traffic web applications on DigitalOcean than ever before, and those workloads demand higher performance. They need the faster cores, flexible memory ratios, and compute configurations that v5 Droplets provide. Starting with v5, every Droplet is tied to a hardware generation, so you get the same silicon and the same performance every time. You can choose Shared Droplets (s5) for bursty, variable work that doesn't need a full dedicated core, or General purpose Droplets (g5) for guaranteed, dedicated CPU, with memory ratios from 2x to 8x per vCPU. Pricing is simple and based on an hourly rate. You see each resource's price as you configure, a running total as you go, and one line per Droplet on your bill. Early customers running game servers and high throughput e-commerce applications saw 2x performance compared to their existing Droplets. No changes to existing Droplets pricing or experience Every existing Droplet plan stays exactly as it is and maintains the same prices, same bundles, same monthly caps, no migrations, and nothing new on your invoi

## How BBQ shrinks Jina v5 embeddings by 29x without losing recall in Elasticsearch

DevFeed: [How BBQ shrinks Jina v5 embeddings by 29x without losing recall in Elasticsearch](<https://devfeed.tech/articles/how-bbq-shrinks-jina-v5-embeddings-by-29x-without-losing-recall-in-elasticsearch-78728.md>)

Original publisher: [Read original article](<https://www.elastic.co/search-labs/blog/bbq-quantization-jina-embeddings-v5>)

Author: Jeffrey Rengifo

Published: 2026-07-10T00:00:00Z

Content type: tutorial

Language: en

Sources: [Elasticsearch Labs](<https://devfeed.tech/sources/elasticsearch-labs.md>)

Topics: [elasticsearch](<https://devfeed.tech/topics/elasticsearch.md>), [quantization](<https://devfeed.tech/topics/quantization.md>), [vector embeddings in AI](<https://devfeed.tech/topics/vector-embeddings-in-ai.md>)

Tags: [000](<https://devfeed.tech/tags/000.md>), [elasticsearch](<https://devfeed.tech/tags/elasticsearch.md>), [embeddings](<https://devfeed.tech/tags/embeddings.md>), [jina-ai](<https://devfeed.tech/tags/jina-ai.md>), [ml-research](<https://devfeed.tech/tags/ml-research.md>), [v5](<https://devfeed.tech/tags/v5.md>), [vector](<https://devfeed.tech/tags/vector.md>), [vector-database](<https://devfeed.tech/tags/vector-database.md>)

### AI overview

A hands-on Elasticsearch comparison tests Better Binary Quantization (BBQ) against float32 vector indices using Jina embeddings v5 on a multilingual news corpus. In this test, BBQ reduced the estimated in-memory vector footprint from 12.71 MB to 0.44 MB, while recall@10 was 0.994 at 1x oversampling. Disk usage was roughly similar, with the BBQ index slightly larger.

### Source excerpt

A hands-on test comparing BBQ and float32 vector indices in Elasticsearch, measuring memory, disk and recall@10 across five languages.

## setup-java v5.5.0: signature verification, Kona JDK, and Maven fixes

DevFeed: [setup-java v5.5.0: signature verification, Kona JDK, and Maven fixes](<https://devfeed.tech/articles/setup-java-v5-5-0-signature-verification-kona-jdk-and-maven-fixes-71617.md>)

Original publisher: [Read original article](<https://github.blog/changelog/2026-07-08-setup-java-v5-5-0-signature-verification-kona-jdk-and-maven-fixes>)

Author: Allison

Published: 2026-07-08T17:05:06Z

Content type: release

Language: en

Sources: [GitHub Changelog](<https://devfeed.tech/sources/github-changelog.md>)

Topics: [Maven](<https://devfeed.tech/topics/maven.md>), [software artifact signing](<https://devfeed.tech/topics/software-artifact-signing.md>)

Tags: [actions](<https://devfeed.tech/tags/actions.md>), [cryptographic](<https://devfeed.tech/tags/cryptographic.md>), [distribution](<https://devfeed.tech/tags/distribution.md>), [improvements](<https://devfeed.tech/tags/improvements.md>), [java](<https://devfeed.tech/tags/java.md>), [jdk](<https://devfeed.tech/tags/jdk.md>), [maven](<https://devfeed.tech/tags/maven.md>), [setup](<https://devfeed.tech/tags/setup.md>), [v5](<https://devfeed.tech/tags/v5.md>), [verification](<https://devfeed.tech/tags/verification.md>)

### AI overview

actions/setup-java v5.5.0 adds optional detached GPG signature verification for Temurin and Microsoft JDK downloads; unsupported distributions fail fast, and users can provide a trusted public key. It adds Tencent Kona, plus `set-default: false` to expose a JDK to a step and Maven toolchains without changing `JAVA_HOME` or `PATH`. The action can infer a distribution from `.sdkmanrc`, quiets Maven 3.9+ and wrapper transfer logs while preserving existing `MAVEN_ARGS` (progress can be restored), and disables interactive Maven prompts. Repeated runs now deduplicate generated JDK toolchains while preserving root attributes and non-JDK entries. The excerpt also notes v5.4.0 additions: GraalVM Community, a `javac` problem matcher, and Maven Wrapper caching. For stronger pinning, it recommends the exact release tag or full commit SHA over floating `v5`.

### Source excerpt

The actions/setup-java v5.5.0 release adds cryptographic signature verification for downloaded JDKs, support for a new distribution, and several quality-of-life improvements for Maven users. Here's what changed since v5.4.0. Verify JDK...

## Nuxt 4.4

DevFeed: [Nuxt 4.4](<https://devfeed.tech/articles/nuxt-4-4-3443.md>)

Original publisher: [Read original article](<https://nuxt.com/blog/v4-4>)

Published: 2026-03-12T00:00:00Z

Content type: release

Language: en

Sources: [Nuxt](<https://devfeed.tech/sources/the-nuxt-blog.md>)

Topics: [Web Development](<https://devfeed.tech/topics/web-development.md>), [User interface design](<https://devfeed.tech/topics/ui-design.md>)

Tags: [accessibility](<https://devfeed.tech/tags/accessibility.md>), [payload](<https://devfeed.tech/tags/payload.md>), [release](<https://devfeed.tech/tags/release.md>), [serverless](<https://devfeed.tech/tags/serverless.md>), [streaming](<https://devfeed.tech/tags/streaming.md>), [v5](<https://devfeed.tech/tags/v5.md>), [vue](<https://devfeed.tech/tags/vue.md>)

### AI overview

Nuxt 4.4 adds custom data-fetching factories, upgrades to vue-router v5, introduces typed layout props and accessibility announcements, and improves route generation and payload handling.

### Source excerpt

Nuxt 4.4 brings custom useFetch/useAsyncData factories, vue-router v5, a new accessibility announcer, typed layout props, build profiling, smarter payload handling, and much more.

## What's new in Astro - February 2026

DevFeed: [What's new in Astro - February 2026](<https://devfeed.tech/articles/what-s-new-in-astro-february-2026-3363.md>)

Original publisher: [Read original article](<https://astro.build/blog/whats-new-february-2026/>)

Author: Sarah Rainsberger

Published: 2026-02-28T00:00:00Z

Content type: article

Language: en

Sources: [The Astro Blog](<https://devfeed.tech/sources/the-astro-blog.md>)

Topics: [Astro](<https://devfeed.tech/topics/astro.md>), [releases](<https://devfeed.tech/topics/releases.md>), [Maintainers](<https://devfeed.tech/topics/maintainers.md>), [Search engine optimization (SEO)](<https://devfeed.tech/topics/seo.md>), [data](<https://devfeed.tech/topics/data.md>), [Vue.js](<https://devfeed.tech/topics/vue.md>), [Windows](<https://devfeed.tech/topics/windows.md>)

Tags: [astro](<https://devfeed.tech/tags/astro.md>), [blog](<https://devfeed.tech/tags/blog.md>), [community](<https://devfeed.tech/tags/community.md>), [company](<https://devfeed.tech/tags/company.md>), [content](<https://devfeed.tech/tags/content.md>), [devices](<https://devfeed.tech/tags/devices.md>), [enterprise](<https://devfeed.tech/tags/enterprise.md>), [guide](<https://devfeed.tech/tags/guide.md>), [guides](<https://devfeed.tech/tags/guides.md>), [http](<https://devfeed.tech/tags/http.md>), [interest](<https://devfeed.tech/tags/interest.md>), [maintainers](<https://devfeed.tech/tags/maintainers.md>), [mobile](<https://devfeed.tech/tags/mobile.md>), [salesforce](<https://devfeed.tech/tags/salesforce.md>), [seo](<https://devfeed.tech/tags/seo.md>), [testing](<https://devfeed.tech/tags/testing.md>), [updates](<https://devfeed.tech/tags/updates.md>), [v5](<https://devfeed.tech/tags/v5.md>), [vue](<https://devfeed.tech/tags/vue.md>), [vue-js](<https://devfeed.tech/tags/vue-js.md>)

### AI overview

Astro's February 2026 ecosystem update highlights rising adoption, strong results in the 2025 State of JS, recent Astro 5.18 and Astro 6 beta releases, notable adopters, community activity, and selected content about data, documentation, and SEO.

### Source excerpt

February 2026 - Astro shines in the 2025 State of JS, adoption climbs according to HTTP Archive results, and more!

## Tokenization in Transformers v5: Simpler, Clearer, and More Modular

DevFeed: [Tokenization in Transformers v5: Simpler, Clearer, and More Modular](<https://devfeed.tech/articles/tokenization-in-transformers-v5-simpler-clearer-and-more-modular-7520.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/tokenizers>)

Author: Ita Zaporozhets; Aritra Roy Gosthipaty; Arthur Zucker; Sergio Paniego; merve; Pedro Cuenca

Published: 2025-12-18T00:00:00Z

Content type: tutorial

Language: en

Sources: [Hugging Face](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [Language models](<https://devfeed.tech/topics/language-models.md>), [LLM Techniques](<https://devfeed.tech/topics/llm-techniques.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [data-engineering](<https://devfeed.tech/topics/data-engineering.md>), [Machine learning](<https://devfeed.tech/topics/machine-learning.md>)

Tags: [algorithms](<https://devfeed.tech/tags/algorithms.md>), [architecture](<https://devfeed.tech/tags/architecture.md>), [backend](<https://devfeed.tech/tags/backend.md>), [language-models](<https://devfeed.tech/tags/language-models.md>), [large-language-models-llms](<https://devfeed.tech/tags/large-language-models-llms.md>), [natural-language-processing](<https://devfeed.tech/tags/natural-language-processing.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [rust](<https://devfeed.tech/tags/rust.md>), [tokenization](<https://devfeed.tech/tags/tokenization.md>), [tokenizers](<https://devfeed.tech/tags/tokenizers.md>), [training](<https://devfeed.tech/tags/training.md>), [transformers](<https://devfeed.tech/tags/transformers.md>), [v5](<https://devfeed.tech/tags/v5.md>)

### AI overview

A practical guide to the Transformers v5 tokenizer redesign. It explains tokenization for LLMs, separates tokenizer architecture from trained vocabulary, and covers modular processing stages and algorithms such as BPE.

### Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.

## Transformers v5: Simple model definitions powering the AI ecosystem

DevFeed: [Transformers v5: Simple model definitions powering the AI ecosystem](<https://devfeed.tech/articles/transformers-v5-simple-model-definitions-powering-the-ai-ecosystem-7537.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/transformers-v5>)

Author: Lysandre; Arthur Zucker; Cyril Vallez; Vaibhav Srivastav

Published: 2025-12-01T00:00:00Z

Content type: release

Language: en

Sources: [Hugging Face](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [Transformers](<https://devfeed.tech/topics/transformers.md>), [hugging face](<https://devfeed.tech/topics/hugging-face.md>), [model architecture](<https://devfeed.tech/topics/model-architecture.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [announcement](<https://devfeed.tech/tags/announcement.md>), [community](<https://devfeed.tech/tags/community.md>), [hugging-face](<https://devfeed.tech/tags/hugging-face.md>), [inference](<https://devfeed.tech/tags/inference.md>), [model-architecture](<https://devfeed.tech/tags/model-architecture.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [python](<https://devfeed.tech/tags/python.md>), [transformers](<https://devfeed.tech/tags/transformers.md>), [v5](<https://devfeed.tech/tags/v5.md>)

### AI overview

Hugging Face announces Transformers v5, focusing on simpler model definitions and improvements for training, inference, and production. The article describes the library's growth to more than 400 model architectures and over 1.2 billion installs, along with modular design intended to improve maintenance, integration, and collaboration.

### Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.

## Bootstrap 5.3.6

DevFeed: [Bootstrap 5.3.6](<https://devfeed.tech/articles/bootstrap-5-3-6-22296.md>)

Original publisher: [Read original article](<https://blog.getbootstrap.com/2025/05/05/bootstrap-5-3-6/>)

Author: Mark Otto

Published: 2025-05-05T15:22:00Z

Content type: release

Language: en

Sources: [Bootstrap.com](<https://devfeed.tech/sources/bootstrap-com.md>)

Topics: [Bootstrap](<https://devfeed.tech/topics/bootstrap.md>), [Astro](<https://devfeed.tech/topics/astro.md>), [Documentation](<https://devfeed.tech/topics/documentation.md>), [Release notes](<https://devfeed.tech/topics/release-notes.md>)

Tags: [accordion](<https://devfeed.tech/tags/accordion.md>), [astro](<https://devfeed.tech/tags/astro.md>), [bootstrap](<https://devfeed.tech/tags/bootstrap.md>), [bug](<https://devfeed.tech/tags/bug.md>), [bug-fixes](<https://devfeed.tech/tags/bug-fixes.md>), [card](<https://devfeed.tech/tags/card.md>), [children](<https://devfeed.tech/tags/children.md>), [docs](<https://devfeed.tech/tags/docs.md>), [documentation](<https://devfeed.tech/tags/documentation.md>), [javascript](<https://devfeed.tech/tags/javascript.md>), [migrate](<https://devfeed.tech/tags/migrate.md>), [migration](<https://devfeed.tech/tags/migration.md>), [prevent](<https://devfeed.tech/tags/prevent.md>), [selectors](<https://devfeed.tech/tags/selectors.md>), [v5](<https://devfeed.tech/tags/v5.md>)

### AI overview

Bootstrap 5.3.6 moves the project documentation from Hugo to Astro. The release also adds usage documentation for Accordion JavaScript and includes fixes to prevent overflowing children of `.visually-hidden` from becoming focusable and to limit `.card-group` selectors to immediate children. The source says the full changelog includes further documentation and dependency updates, so this excerpt does not establish the complete change list.

### Source excerpt

Bootstrap v5.3.6 was just released to migrate our documentation to Astro from Hugo. Also included are a few bug fixes and documentation updates. Here are some highlights: Ported the docs from Hugo to Astro for our own sanity! Added usage docs for Accordion JavaScript Prevent .visually-hidden overflowing children to become focusable Limit .card-group selectors to immediate children to fix some inheritance issues Most importantly, a massive thank you and shoutout to Bootstrap maintainer Julien for all the work that went into our Astro migration. What a massive ship.

## Bootstrap 5.3.5

DevFeed: [Bootstrap 5.3.5](<https://devfeed.tech/articles/bootstrap-5-3-5-22295.md>)

Original publisher: [Read original article](<https://blog.getbootstrap.com/2025/04/04/bootstrap-5-3-5/>)

Author: Mark Otto

Published: 2025-04-04T15:22:00Z

Content type: release

Language: en

Sources: [Bootstrap.com](<https://devfeed.tech/sources/bootstrap-com.md>)

Topics: [Bootstrap](<https://devfeed.tech/topics/bootstrap.md>), [Firefox](<https://devfeed.tech/topics/firefox.md>), [npm](<https://devfeed.tech/topics/npm.md>), [changelog](<https://devfeed.tech/topics/changelog.md>), [CSS](<https://devfeed.tech/topics/css.md>), [Maintainers](<https://devfeed.tech/topics/maintainers.md>)

Tags: [changelog](<https://devfeed.tech/tags/changelog.md>), [dependency](<https://devfeed.tech/tags/dependency.md>), [documentation](<https://devfeed.tech/tags/documentation.md>), [firefox](<https://devfeed.tech/tags/firefox.md>), [github](<https://devfeed.tech/tags/github.md>), [maintainers](<https://devfeed.tech/tags/maintainers.md>), [npm](<https://devfeed.tech/tags/npm.md>), [release](<https://devfeed.tech/tags/release.md>), [v5](<https://devfeed.tech/tags/v5.md>)

### AI overview

Bootstrap v5.3.5 is a hotfix for an upstream Autoprefixer regression that caused floating form labels to remain floated in Firefox because of unintended CSS output. The release also includes documentation and dependency updates and was published to npm.

### Source excerpt

Bootstrap v5.3.5 was released as a hotfix for a regression from upstream in Autoprefixer that caused floating form labels to always be "floated" in Firefox due to unintended CSS output. Read the GitHub v5.3.5 changelog for a full list of changes (including a ton of documentation and dependency updates) in this release. Get the release Head to https://getbootstrap.com for the latest. It's also been pushed to npm: npm i bootstrap@v5.3.5 Support the team Visit our Open Collective page or our team members' GitHub profiles to help support the maintainers contributing to Bootstrap.

## esptool: Updates about the upcoming v5 major release

DevFeed: [esptool: Updates about the upcoming v5 major release](<https://devfeed.tech/articles/esptool-updates-about-the-upcoming-v5-major-release-13695.md>)

Original publisher: [Read original article](<https://developer.espressif.com/blog/2025/04/esptool-v5/>)

Author: John Lee

Published: 2025-04-01T00:00:00Z

Content type: release

Language: en

Sources: [Blog on Developer Portal](<https://devfeed.tech/sources/blog-on-developer-portal.md>)

Topics: [Command-line interface](<https://devfeed.tech/topics/cli.md>), [API](<https://devfeed.tech/topics/api.md>), [Python](<https://devfeed.tech/topics/python.md>), [software-development](<https://devfeed.tech/topics/software-development.md>), [ESP32](<https://devfeed.tech/topics/esp32.md>), [ESP8266](<https://devfeed.tech/topics/esp8266.md>), [Logging](<https://devfeed.tech/topics/logging.md>)

Tags: [api](<https://devfeed.tech/tags/api.md>), [blog](<https://devfeed.tech/tags/blog.md>), [cli](<https://devfeed.tech/tags/cli.md>), [command-line](<https://devfeed.tech/tags/command-line.md>), [esp32](<https://devfeed.tech/tags/esp32.md>), [esp8266](<https://devfeed.tech/tags/esp8266.md>), [esptool](<https://devfeed.tech/tags/esptool.md>), [logging](<https://devfeed.tech/tags/logging.md>), [python](<https://devfeed.tech/tags/python.md>), [release](<https://devfeed.tech/tags/release.md>), [secure-boot](<https://devfeed.tech/tags/secure-boot.md>), [security](<https://devfeed.tech/tags/security.md>), [tools](<https://devfeed.tech/tags/tools.md>), [updates](<https://devfeed.tech/tags/updates.md>), [v5](<https://devfeed.tech/tags/v5.md>)

### AI overview

Espressif describes the upcoming esptool v5 major release, which is under development and available as a preview. The release adds a public Python API, structured workflows, type-safe integration, and customizable logging, with a migration guide for users.

### Source excerpt

esptool v5, currently under development by Espressif, boosts its new public API and customizable logging capabilities for developers. The new version brings enhancements for users as well. Contributions are welcome, preview out now.

## How to Create an UI Application for the ESP32-S3

DevFeed: [How to Create an UI Application for the ESP32-S3](<https://devfeed.tech/articles/how-to-create-an-ui-application-for-the-esp32-s3-13883.md>)

Original publisher: [Read original article](<https://developer.espressif.com/blog/how-to-create-an-ui-application-for-the-esp32-s3/>)

Author: John Lee

Published: 2024-10-02T00:00:00Z

Content type: tutorial

Language: en

Sources: [Blog on Developer Portal](<https://devfeed.tech/sources/blog-on-developer-portal.md>)

Topics: [ESP32-S3](<https://devfeed.tech/topics/esp32-s3.md>), [Tutorial](<https://devfeed.tech/topics/tutorial.md>), [GUI](<https://devfeed.tech/topics/gui.md>), [ESP-IDF](<https://devfeed.tech/topics/esp-idf.md>), [Hardware](<https://devfeed.tech/topics/hardware.md>), [User Interfaces](<https://devfeed.tech/topics/user-interfaces.md>)

Tags: [blog](<https://devfeed.tech/tags/blog.md>), [embedded](<https://devfeed.tech/tags/embedded.md>), [embedded-wizard](<https://devfeed.tech/tags/embedded-wizard.md>), [esp-idf](<https://devfeed.tech/tags/esp-idf.md>), [esp32](<https://devfeed.tech/tags/esp32.md>), [esp32-s2](<https://devfeed.tech/tags/esp32-s2.md>), [esp32-s3](<https://devfeed.tech/tags/esp32-s3.md>), [examples](<https://devfeed.tech/tags/examples.md>), [gui](<https://devfeed.tech/tags/gui.md>), [guide](<https://devfeed.tech/tags/guide.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [screen](<https://devfeed.tech/tags/screen.md>), [ui](<https://devfeed.tech/tags/ui.md>), [v5](<https://devfeed.tech/tags/v5.md>)

### AI overview

A step-by-step guide to creating an Embedded Wizard GUI application for the ESP32-S3-BOX. It covers the SPI-connected display, partial display updates for memory-constrained systems, required hardware and software, and the ESP-IDF workflow.

### Source excerpt

Step-by-step guide to creating Embedded Wizard GUI applications for ESP32-S3-BOX with ESP-IDF V5.3.1, including examples and build instructions.

## Spark Stripe: PayPal Support

DevFeed: [Spark Stripe: PayPal Support](<https://devfeed.tech/articles/spark-stripe-paypal-support-3911.md>)

Original publisher: [Read original article](<https://laravel.com/blog/spark-stripe-paypal-support>)

Author: Dries Vints

Published: 2024-07-02T06:45:00Z

Content type: release

Language: en

Sources: [Laravel Blog](<https://devfeed.tech/sources/laravel-blog.md>)

Topics: [stripe](<https://devfeed.tech/topics/stripe.md>), [Laravel](<https://devfeed.tech/topics/laravel.md>), [configuration](<https://devfeed.tech/topics/configuration.md>)

Tags: [configuration](<https://devfeed.tech/tags/configuration.md>), [installation](<https://devfeed.tech/tags/installation.md>), [laravel](<https://devfeed.tech/tags/laravel.md>), [payment](<https://devfeed.tech/tags/payment.md>), [paypal](<https://devfeed.tech/tags/paypal.md>), [stripe](<https://devfeed.tech/tags/stripe.md>), [subscriptions](<https://devfeed.tech/tags/subscriptions.md>), [v5](<https://devfeed.tech/tags/v5.md>)

### AI overview

Spark Stripe now supports PayPal when starting new subscriptions. PayPal support is currently available in Europe, and users must update to Spark Stripe v5.4.0 and enable PayPal in the Stripe dashboard configuration.

### Source excerpt

We're happy to announce that Spark Stripe now supports PayPal for starting new subscriptions.

## Prisma ORM 5.16.0 allows global or local omitted fields in Prisma Client

DevFeed: [Prisma ORM 5.16.0 allows global or local omitted fields in Prisma Client](<https://devfeed.tech/articles/prisma-orm-5-16-0-allows-global-or-local-omitted-fields-in-prisma-client-47661.md>)

Original publisher: [Read original article](<https://www.prisma.io/blog/introducing-global-omit-for-model-fields-in-prisma-orm-5-16-0>)

Author: Jon Harrell

Published: 2024-06-25T00:00:00Z

Content type: release

Language: en

Sources: [Prisma](<https://devfeed.tech/sources/prisma-blog.md>)

Topics: [Prisma](<https://devfeed.tech/topics/prisma.md>), [Object-relational mapping](<https://devfeed.tech/topics/orm.md>), [Data Management](<https://devfeed.tech/topics/data-management.md>), [Security](<https://devfeed.tech/topics/security.md>), [sensitive data](<https://devfeed.tech/topics/sensitive-data.md>)

Tags: [omit](<https://devfeed.tech/tags/omit.md>), [orm](<https://devfeed.tech/tags/orm.md>), [password](<https://devfeed.tech/tags/password.md>), [prisma](<https://devfeed.tech/tags/prisma.md>), [queries](<https://devfeed.tech/tags/queries.md>), [release](<https://devfeed.tech/tags/release.md>), [security](<https://devfeed.tech/tags/security.md>), [security-and-privacy](<https://devfeed.tech/tags/security-and-privacy.md>), [sensitive-data](<https://devfeed.tech/tags/sensitive-data.md>), [v5](<https://devfeed.tech/tags/v5.md>)

### AI overview

Prisma ORM 5.16.0 introduces global and per-query field omission in Prisma Client. The feature helps developers prevent sensitive fields such as passwords from appearing in query results while supporting more targeted data retrieval.

### Source excerpt

Prisma ORM v5.16.0 allows you to omit fields globally or per-query. This blog post overviews the change and how to omit fields in your Prisma Client queries.

## Spark Stripe: SEPA and Link Support

DevFeed: [Spark Stripe: SEPA and Link Support](<https://devfeed.tech/articles/spark-stripe-sepa-and-link-support-3912.md>)

Original publisher: [Read original article](<https://laravel.com/blog/spark-stripe-sepa-and-link>)

Author: Dries Vints

Published: 2024-03-13T13:23:00Z

Content type: release

Language: en

Sources: [Laravel Blog](<https://devfeed.tech/sources/laravel-blog.md>)

Topics: [stripe](<https://devfeed.tech/topics/stripe.md>), [Laravel](<https://devfeed.tech/topics/laravel.md>), [configuration](<https://devfeed.tech/topics/configuration.md>), [App](<https://devfeed.tech/topics/app.md>)

Tags: [checkout](<https://devfeed.tech/tags/checkout.md>), [configuration](<https://devfeed.tech/tags/configuration.md>), [customer](<https://devfeed.tech/tags/customer.md>), [installation](<https://devfeed.tech/tags/installation.md>), [laravel](<https://devfeed.tech/tags/laravel.md>), [payment](<https://devfeed.tech/tags/payment.md>), [payments](<https://devfeed.tech/tags/payments.md>), [spark](<https://devfeed.tech/tags/spark.md>), [stripe](<https://devfeed.tech/tags/stripe.md>), [v5](<https://devfeed.tech/tags/v5.md>)

### AI overview

Spark Stripe adds support for SEPA Direct Debit and Link payments, along with additional methods such as iDEAL, Sofort, and Bancontact. The update is available in Spark Stripe v5.1.0 and requires enabling the methods in the Stripe dashboard.

### Source excerpt

We're happy to announce that Spark Stripe now supports SEPA Direct Debit payments and Link payments.

## The Query Options API

DevFeed: [The Query Options API](<https://devfeed.tech/articles/the-query-options-api-48240.md>)

Original publisher: [Read original article](<https://tkdodo.eu/blog/the-query-options-api>)

Published: 2024-01-17T00:00:00Z

Content type: tutorial

Language: en

Sources: [TkDodo](<https://devfeed.tech/sources/tkdodo-s-blog.md>)

Topics: [API](<https://devfeed.tech/topics/api.md>), [React](<https://devfeed.tech/topics/react.md>), [abstraction](<https://devfeed.tech/topics/abstraction.md>), [TypeScript](<https://devfeed.tech/topics/typescript.md>), [React Router](<https://devfeed.tech/topics/react-router.md>)

Tags: [abstraction](<https://devfeed.tech/tags/abstraction.md>), [api](<https://devfeed.tech/tags/api.md>), [functions](<https://devfeed.tech/tags/functions.md>), [interface](<https://devfeed.tech/tags/interface.md>), [object](<https://devfeed.tech/tags/object.md>), [react](<https://devfeed.tech/tags/react.md>), [typescript](<https://devfeed.tech/tags/typescript.md>), [v5](<https://devfeed.tech/tags/v5.md>)

### AI overview

This article explains React Query v5's Query Options API, which replaces multiple function arguments with a single options object. It discusses how this simplifies the API, supports sharing query definitions across functions, and interacts with TypeScript's excess-property checks.

### Source excerpt

v5 brought a new, powerful API, especially if you're using React Query with TypeScript...

## InQL v5: A Technical Deep Dive

DevFeed: [InQL v5: A Technical Deep Dive](<https://devfeed.tech/articles/inql-v5-a-technical-deep-dive-92038.md>)

Original publisher: [Read original article](<https://blog.doyensec.com/2023/08/17/inql-v5.html>)

Published: 2023-08-16T22:00:00Z

Content type: article

Language: en

Sources: [Doyensec](<https://devfeed.tech/sources/doyensec.md>)

Topics: [GraphQL](<https://devfeed.tech/topics/graphql.md>)

Tags: [annotations](<https://devfeed.tech/tags/annotations.md>), [auditing](<https://devfeed.tech/tags/auditing.md>), [automation](<https://devfeed.tech/tags/automation.md>), [bug-bounty](<https://devfeed.tech/tags/bug-bounty.md>), [burp-suite](<https://devfeed.tech/tags/burp-suite.md>), [contributors](<https://devfeed.tech/tags/contributors.md>), [cybersecurity](<https://devfeed.tech/tags/cybersecurity.md>), [developer-community](<https://devfeed.tech/tags/developer-community.md>), [doyensec](<https://devfeed.tech/tags/doyensec.md>), [doyensecurity](<https://devfeed.tech/tags/doyensecurity.md>), [exploit](<https://devfeed.tech/tags/exploit.md>), [graphql](<https://devfeed.tech/tags/graphql.md>), [hacking](<https://devfeed.tech/tags/hacking.md>), [infosec](<https://devfeed.tech/tags/infosec.md>), [interpreter](<https://devfeed.tech/tags/interpreter.md>), [java](<https://devfeed.tech/tags/java.md>), [kotlin](<https://devfeed.tech/tags/kotlin.md>), [logging](<https://devfeed.tech/tags/logging.md>), [offensive](<https://devfeed.tech/tags/offensive.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [pentest](<https://devfeed.tech/tags/pentest.md>), [pentester](<https://devfeed.tech/tags/pentester.md>), [python](<https://devfeed.tech/tags/python.md>), [reverse-engineering](<https://devfeed.tech/tags/reverse-engineering.md>), [runtime](<https://devfeed.tech/tags/runtime.md>), [security](<https://devfeed.tech/tags/security.md>), [students](<https://devfeed.tech/tags/students.md>), [technical-deep-dive](<https://devfeed.tech/tags/technical-deep-dive.md>), [testing](<https://devfeed.tech/tags/testing.md>), [v5](<https://devfeed.tech/tags/v5.md>), [vulnerability](<https://devfeed.tech/tags/vulnerability.md>)

### AI overview

InQL v5 moves the Burp Suite extension from Jython toward Kotlin while embedding the Jython runtime to keep older code working. Kotlin's compatibility with Burp's Java base also lets InQL bundle its multi-file code and static assets in a JAR, avoiding the prior stickytape packaging approach. The refactored schema parser, GQLSpection, is a standalone library compatible with Python 2/3 and Jython and includes a CLI; it also replaces InQL's former standalone and CLI modes. New features include customizable keyword scans that report Points of Interest in text or JSON, configurable logging for parser errors, and inline schema descriptions or type annotations that help infer query inputs. The annotations can make output harder to navigate. The roadmap mentions restoring GraphiQL and Circular Relationship Detection to reach v4 feature parity.

### Source excerpt

We're thrilled to pull back the curtain on the latest iteration of our widely-used Burp Suite extension - InQL. Version 5 introduces significant enhancements and upgrades, solidifying its place as an indispensable tool for penetration testers and bug bounty hunters. Introduction The Journey So Far: From Jython to Kotlin The Challenges of Converting a Burp Extension Into Kotlin Sidestepping the need for stickytape Introducing GQLSpection: The Core of InQL v5.x New Features Points of Interest Improved Logging In-line Annotations The Future of InQL and GraphQL Security InQL: A Great Project for Students and Contributors Conclusion Introduction The cybersecurity landscape is in a state of constant flux. As GraphQL adoption surges, the demand for an adaptable, resilient testing tool has become paramount. As leaders in GraphQL security, Doyensec is proud to reveal the most recent iteration of our open-source testing tool - InQL v5.x. This isn't merely an update; it's a comprehensive revamp designed to augment your GraphQL testing abilities. The Journey So Far: From Jython to Kotlin Our journey with InQL started on the Jython platform. However, as time went by, we began to experience the limitations of Jython - chiefly, its lack of support for Python 3, which made it increasingly difficult to find compatible tooling and libraries. It was clear a transition was needed. After careful consideration, we chose Kotlin. Not only is it compatible with Java (which Burp is written in), but it also offers robustness, flexibility, and a thriving developer community. The Challenges of Converting a Burp Extension Into Kotlin We opted to include the entire Jython runtime (over 40 MB) within the Kotlin extension to overcome the challenges of reusing the existing Jython code. Although it wasn't the ideal solution, this approach allowed us to launch the extension as Kotlin, initiate the Jython interpreter, and delegate execution to the older Jython code. class BurpExtender: IBurpExtender, I

## Laravel v5.8.35 released

DevFeed: [Laravel v5.8.35 released](<https://devfeed.tech/articles/laravel-v5-8-35-released-3820.md>)

Original publisher: [Read original article](<https://laravel.com/blog/laravel-v5-8-35-released>)

Author: Laravel Team

Published: 2019-09-03T17:01:00Z

Content type: release

Language: en

Sources: [Laravel Blog](<https://devfeed.tech/sources/laravel-blog.md>)

Topics: [Laravel](<https://devfeed.tech/topics/laravel.md>), [SQL](<https://devfeed.tech/topics/sql.md>), [Extension](<https://devfeed.tech/topics/extension.md>)

Tags: [extension](<https://devfeed.tech/tags/extension.md>), [images](<https://devfeed.tech/tags/images.md>), [laravel](<https://devfeed.tech/tags/laravel.md>), [release](<https://devfeed.tech/tags/release.md>), [sql](<https://devfeed.tech/tags/sql.md>), [v5](<https://devfeed.tech/tags/v5.md>)

### AI overview

Laravel v5.8.35 is a release from September 3, 2019. The listed changes include SQL operator support, Hebrew letters in the language array, partial support for an unspecified feature, and a note that the GD extension is required for generating images.

### Source excerpt

Laravel v5.8.35 is released in 2019/09/03, here are the changes we`ve merged into this release.

[Next page](<https://devfeed.tech/tags/v5.md?cursor=WyIyMDE5LTA5LTAzVDE3OjAxOjAwKzAwOjAwIiwgIjQ3OWUzZmFmLTYzZmItNDQ1ZS05ZjBjLWMxZGQ2ZDA2YTk1ZSJd>)