# Application Development The process of creating user-oriented software applications, including planning, designing, coding, testing, deployment, and maintenance. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## What to Expect at the Zephyr Project Workshop & Meetup (September 24, 2026) - Stuttgart, Germany DevFeed: [What to Expect at the Zephyr Project Workshop & Meetup (September 24, 2026) - Stuttgart, Germany]() Original publisher: [Read original article]() Author: Susan Remmert Published: 2026-09-16T17:57:36Z Content type: article Language: en Sources: [Zephyr Project]() Topics: [Embedded Systems](), [Open Source](), [Application Development](), [Testing](), [Simulation](), [Command-line interface]() Tags: [2026](), [blog](), [command-line](), [developers](), [embedded-systems](), [events](), [germany](), [meetup](), [open-source](), [technical](), [workshop](), [zephyr]() ### AI overview The Zephyr community will hold a hands-on workshop and afternoon meetup in Stuttgart, Germany, on September 24, 2026. The workshop will cover practical Zephyr development, while the meetup will feature community-led technical presentations and networking. ### Source excerpt On September 24, the Zephyr community will gather in Stuttgart for a hands-on workshop followed by an afternoon meetup featuring community-led technical presentations. The event is open to experienced contributors, first-time users, students, engineers, and anyone interested in open source embedded development. Attendees may join both sessions or choose either the workshop or the meetup based on their interests. ## What to Expect at the Zephyr Project Workshop & Meetup (September 24, 2026) - Stuttgart, Germany DevFeed: [What to Expect at the Zephyr Project Workshop & Meetup (September 24, 2026) - Stuttgart, Germany]() Original publisher: [Read original article]() Author: Susan Remmert Published: 2026-09-16T17:57:36Z Content type: news Language: en Sources: [Zephyr Project]() Topics: [Embedded Systems](), [Embedded Software Dev](), [Application Development](), [Testing](), [Simulation](), [Open Source]() Tags: [2026](), [blog](), [command-line](), [community](), [contributors](), [development](), [embedded](), [embedded-systems](), [event](), [events](), [germany](), [meetup](), [open-source](), [sessions](), [simulation](), [technical](), [testing](), [workshop](), [zephyr]() ### AI overview The Zephyr community will hold a hands-on workshop and afternoon meetup in Stuttgart, Germany, on September 24, 2026. The program includes guided exercises, technical presentations, community networking, and discussions of Zephyr-based embedded applications. ### Source excerpt On September 24, the Zephyr community will gather in Stuttgart for a hands-on workshop followed by an afternoon meetup featuring community-led technical presentations. The event is open to experienced contributors, first-time users, students, engineers, and anyone interested in open source embedded development. Attendees may join both sessions or choose either the workshop or the meetup based on their interests. ## NVIDIA to Acquire Hugging Face for $12.93B, Pledges the Platform Stays Open and Hardware Neutral DevFeed: [NVIDIA to Acquire Hugging Face for $12.93B, Pledges the Platform Stays Open and Hardware Neutral]() Original publisher: [Read original article]() Author: Harold Fritts Published: 2026-09-04T18:01:12Z Content type: news Language: en Sources: [StorageReview.com]() Topics: [hugging face](), [Nvidia](), [AI Development](), [AI Infrastructure](), [Application Development](), [datasets](), [Cloud](), [Deployment](), [model-deployment](), [inference-providers]() Tags: [ai](), [ai-infrastructure](), [application-development](), [cloud](), [creators](), [datasets](), [deployment](), [enterprise](), [hugging-face](), [inference-providers](), [models](), [multi-cloud](), [nvidia](), [platforms]() ### AI overview NVIDIA has agreed to acquire Hugging Face for $12.93 billion, with plans to expand its infrastructure and AI development capabilities. Hugging Face is expected to retain its brand and operate as an open, hardware-neutral platform supporting models, datasets, applications, multiple clouds, accelerators, and inference providers. ### Source excerpt NVIDIA has agreed to acquire Hugging Face for $12.93 billion, a transaction that would extend the company's position from accelerated compute and AI infrastructure into one of the industry's most widely used platforms for open models, datasets, and application development. In an announcement published on the NVIDIA website, CEO Jensen Huang said the company plans The post NVIDIA to Acquire Hugging Face for $12.93B, Pledges the Platform Stays Open and Hardware Neutral appeared first on StorageReview.com. ## Develop like you deploy: closing the Kubernetes local-to-cluster gap DevFeed: [Develop like you deploy: closing the Kubernetes local-to-cluster gap]() Original publisher: [Read original article]() Author: Katie Tincello Published: 2026-07-09T15:00:00Z Content type: opinion Language: en Sources: [Kubernetes Overview, News and Trends | The New Stack]() Topics: [Kubernetes](), [Platform Engineering](), [MCP Server](), [Application Development](), [Open Source]() Tags: [application-development](), [critical-infrastructure](), [krumware](), [kubernetes](), [mcp-server](), [model-context-protocol-mcp](), [observability](), [open-source](), [platform-engineering](), [post](), [sponsor-krumware](), [sponsored-post]() ### AI overview The article argues that platform engineering should close the gap between local Kubernetes development and cluster deployment. It presents Krumware's open-source Epinio application development engine and Epinio MCP server as ways to reduce tool fragmentation, support enterprise guardrails, and improve Kubernetes workflows. ### Source excerpt Despite significant investments and technological developments in platform engineering over the past decade, most developers still face the same problem The post Develop like you deploy: closing the Kubernetes local-to-cluster gap appeared first on The New Stack. ## Using Spring Boot OAuth2 for Secure Application Development DevFeed: [Using Spring Boot OAuth2 for Secure Application Development]() Original publisher: [Read original article]() Author: JOE CAVAZOS, SOFTWARE DEVELOPER @ TOPTAL Published: 2026-06-10T04:00:00Z Content type: tutorial Language: en Sources: [Toptal Blog]() Topics: [OAuth 2.0](), [Security](), [Authentication](), [Application Development](), [API](), [Code](), [configuration]() Tags: [api](), [application-development](), [authentication](), [code](), [development](), [passwords](), [security](), [spring](), [spring-boot](), [systems](), [tokens](), [validation]() ### AI overview This article explains how OAuth2 secures Spring Boot applications and enables services to exchange authorization tokens without exposing user passwords. It discusses token scope and expiration, and describes the more explicit security configuration model introduced with Spring Boot 3.x and Spring Security 6. ### Source excerpt As apps grow more complex, so does managing security. Explore how OAuth2 is implemented in Spring Boot applications and the key considerations that underpin secure communication between services. ## ServiceNow and Figma launch strategic collaboration to turn design vision into enterprise transformation DevFeed: [ServiceNow and Figma launch strategic collaboration to turn design vision into enterprise transformation]() Original publisher: [Read original article]() Author: Figma Published: 2025-11-06T00:00:00Z Content type: news Language: en Sources: [Figma Blog]() Topics: [Figma](), [Model Context Protocol](), [AI Platform](), [Application Development](), [workflow automation](), [Deployment]() Tags: [ai-platform](), [app-development](), [automation](), [deployment](), [development](), [figma](), [mcp](), [security]() ### AI overview ServiceNow and Figma announced an MCP-powered integration that lets developers use Figma designs as direct prompts for the ServiceNow Build Agent. The integration connects design workflows with ServiceNow's AI Platform to automate enterprise application development from design through deployment, with an emphasis on security, scalability, governance, data, and speed. ### Source excerpt Today, ServiceNow, the AI platform for business transformation, and Figma announced a strategic collaboration to turn design vision into enterprise transformation. ## MedGemma: Our most capable open models for health AI development DevFeed: [MedGemma: Our most capable open models for health AI development]() Original publisher: [Read original article]() Published: 2025-10-25T18:02:50Z Content type: article Language: en Sources: [Google DeepMind News]() Topics: [AI Development](), [Artificial Intelligence](), [multimodal](), [gemma](), [gemma4](), [Application Development](), [GPU](), [Hardware](), [Google]() Tags: [2025](), [ai](), [ai-development](), [classification](), [development](), [gemma](), [generation](), [google](), [gpu](), [hardware](), [health](), [healthcare](), [image](), [mobile](), [models](), [multimodal](), [open](), [product-development](), [research](), [retrieval]() ### AI overview Google Research announces two open models in the MedGemma collection for health AI development: MedGemma 27B Multimodal and MedSigLIP. The models support medical text and imaging tasks, including electronic health record interpretation, report generation, visual question answering, classification, and retrieval. ### Source excerpt We're announcing new multimodal models in the MedGemma collection, our most capable open models for health AI development. ## Welcome to Heroku Vibes DevFeed: [Welcome to Heroku Vibes]() Original publisher: [Read original article]() Author: Anush DSouza Published: 2025-10-08T15:45:35Z Content type: release Language: en Sources: [Heroku]() Topics: [Heroku](), [Artificial Intelligence](), [App](), [Developer experience](), [Application Development](), [Website]() Tags: [agent](), [ai](), [application-development](), [applications](), [apps](), [developer-experience](), [heroku](), [heroku-ai](), [news](), [platform](), [product-features]() ### AI overview Heroku introduces the pilot of Heroku Vibes, a web-based collaborative agent that uses natural language to help build and deploy full applications. The announcement positions it as an extension of Heroku's focus on reducing infrastructure complexity and improving developer experience. ### Source excerpt Introducing the pilot of Heroku Vibes, your collaborative agent for turning ideas into running apps. For those who have been with us on this journey for a while, the name "Heroku Garden" might stir up a bit of nostalgia. It was the web experience that enabled developers to become immediately productive in creating and deploying [...] The post Welcome to Heroku Vibes appeared first on Heroku. ## 10 Years of GraphQL Celebrated at GraphQLConf 2025 DevFeed: [10 Years of GraphQL Celebrated at GraphQLConf 2025]() Original publisher: [Read original article]() Author: Jeff Auriemma Published: 2025-10-02T13:13:04Z Content type: opinion Language: en Sources: [Apollo Blog]() Topics: [GraphQL](), [API](), [Meta](), [Application Development](), [Artificial Intelligence](), [Mobile]() Tags: [agentic](), [ai](), [api](), [apis](), [apollo-client](), [application-development](), [ceo](), [graphql](), [meta](), [mobile]() ### AI overview Apollo's reflections on GraphQLConf 2025 describe GraphQL's ten-year history since Meta open-sourced it and highlight ongoing innovation in query planning, code generation, federation, and subscriptions. The article also discusses GraphQL's potential role in AI-powered and agentic application development. ### Source excerpt GraphQLConf 2025 is a wrap! The Apollo team had a great time in Amsterdam celebrating a major milestone: ten years since GraphQL was open-sourced by Meta. What started as an internal tool for building mobile applications has evolved into the foundation for how thousands of companies orchestrate their APIs - and now, as the conference made clear, GraphQL is entering its most important era yet. ## Building Smarter Camera Applications with esp-video DevFeed: [Building Smarter Camera Applications with esp-video]() Original publisher: [Read original article]() Author: John Lee Published: 2025-09-22T00:00:00Z Content type: tutorial Language: en Sources: [Blog on Developer Portal]() Topics: [ESP32](), [Application Development](), [App](), [Framework](), [Internet of things]() Tags: [ai](), [application-development](), [applications](), [blog](), [camera](), [esp32](), [esp32-c6](), [esp32-p4](), [esp32-s3](), [framework](), [iot](), [multimedia](), [video]() ### AI overview This article introduces Espressif's esp-video camera application development component for ESP32 chips. It describes supported camera applications, including image and video transmission, segmented capture, on-device AI features, and multi-camera systems, and compares esp-video with the earlier esp32-camera component. ### Source excerpt The esp-video component provides a solution to build camera applications on the ESP32 chips. This article will introduce the esp-video component, how to use it, and will give an overview of the framework around it. ## Ten Years of Laravel and Counting: The Artisan of the Day Is Andy Hinkle. DevFeed: [Ten Years of Laravel and Counting: The Artisan of the Day Is Andy Hinkle.]() Original publisher: [Read original article]() Author: Ana Tavares Published: 2025-08-30T12:40:52Z Content type: article Language: en Sources: [Laravel Blog]() Topics: [Laravel](), [Application Development](), [PHP](), [VBA](), [Web Development]() Tags: [application-development](), [code](), [community](), [development](), [laravel](), [software-developer](), [web](), [web-development]() ### AI overview Andy Hinkle transformed a spreadsheet-based employee scheduling system into a software development career centered on Laravel. After discovering Laravel while working with PHP, he built production applications, grew through real-world projects, and now contributes to the Laravel community through talks and a podcast. ### Source excerpt Andy Hinkle turned complex scheduling into code, built a career with Laravel, and now thrives at Wilber while giving back to the Laravel Community. ## NuttX for Motor Control and Sensing: MCPWM and DC Motor Control DevFeed: [NuttX for Motor Control and Sensing: MCPWM and DC Motor Control]() Original publisher: [Read original article]() Author: John Lee Published: 2025-05-16T00:00:00Z Content type: tutorial Language: en Sources: [Blog on Developer Portal]() Topics: [NuttX](), [ESP32-C6](), [real-time](), [Application Development](), [Development](), [Hardware]() Tags: [acquisition](), [apache](), [application-development](), [blog](), [esp32](), [esp32-c6](), [hardware](), [how-to](), [implement](), [imu](), [measurement](), [motor](), [nuttx](), [real-time](), [sensors](), [speed]() ### AI overview This tutorial demonstrates motor control and speed sensing on an ESP32-C6 using the NuttX RTOS. It covers MCPWM-based DC motor control, ADC-based potentiometer input, and quadrature encoder speed measurement, with the broader project intended to support wireless sensor data logging and analysis. ### Source excerpt This article demonstrates how to implement motor control and speed sensing on an ESP32-C6 using NuttX RTOS. It covers setting up MCPWM for motor control, ADC for potentiometer reading, and quadrature encoder for speed measurement. The implementation showcases NuttX's real-time capabilities through a practical example using common peripherals and sensors. ## Snyk @ RSAC 2025 DevFeed: [Snyk @ RSAC 2025]() Original publisher: [Read original article]() Author: Snyk Team Published: 2025-05-12T04:00:00Z Content type: article Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [Generative AI](), [Security](), [API](), [Application Development](), [web applications]() Tags: [2025](), [ai](), [api-security](), [application-development](), [awareness](), [blog](), [generative-ai](), [rsac](), [security](), [snyk]() ### AI overview Snyk's RSAC 2025 activities centered on the impact of generative AI on software security and the role of AI in cybersecurity. The article highlights Snyk's sessions, demonstrations, community events, partnerships, and its API and Web product, which provides real-time security insights for APIs and web applications. Snyk API & Web also received recognition for API security innovation. ### Source excerpt Explore Snyk's highlights from RSAC 2025, focusing on generative AI, API security advancements, and community initiatives. Learn how Snyk is shaping the future of secure application development. Register for Snyk Launch 2025. ## Data Modeling for Java Developers: Structuring With PostgreSQL and MongoDB DevFeed: [Data Modeling for Java Developers: Structuring With PostgreSQL and MongoDB]() Original publisher: [Read original article]() Author: Aasawari Sahasrabuddhe Published: 2025-04-27T12:00:00Z Content type: tutorial Language: en Sources: [Nic Raboy]() Topics: [data-modeling](), [Java](), [MongoDB](), [PostgreSQL](), [Databases](), [Application Development]() Tags: [acid](), [application-development](), [data-modeling](), [java](), [mongodb](), [postgres](), [postgresql](), [tutorial](), [vs]() ### AI overview This tutorial explains data modeling for Java developers by comparing PostgreSQL's relational approach with MongoDB's document-oriented model. It covers database relationships, including many-to-many relationships, and discusses trade-offs such as rigid schemas, ACID compliance, and scalability. ### Source excerpt Application and system designs have always been considered the most essential step in application development. All the later steps and technologies to be used depend on how the system has been designe... The post Data Modeling for Java Developers: Structuring With PostgreSQL and MongoDB appeared first on DEV. ## 4 Tips for Securing GenAI-Assisted Development DevFeed: [4 Tips for Securing GenAI-Assisted Development]() Original publisher: [Read original article]() Author: Sarah Conway Published: 2024-12-18T05:00:00Z Content type: article Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [Application Security](), [genai](), [Application Development](), [Security](), [Language models](), [Vulnerabilities](), [GitHub Copilot](), [Google]() Tags: [ai](), [application-security](), [best-practices](), [blog](), [copilot](), [devops](), [executive](), [genai](), [google](), [megawatt](), [related-content](), [security](), [snyk](), [vulnerabilities]() ### AI overview This article presents four practical tips for scaling application security to support GenAI-assisted development. It explains that code assistants can increase development speed while introducing vulnerabilities, policy and compliance gaps, and risks from exposing sensitive data to large language models. ### Source excerpt Discover four practical tips for scaling your AppSec program to meet the speed of GenAI-assisted development. Read our whitepaper to learn more. ## DynamoDB For System Design Interviews DevFeed: [DynamoDB For System Design Interviews]() Original publisher: [Read original article]() Author: Evan King Published: 2024-11-19T21:30:02Z Content type: tutorial Language: en Sources: [Evan King]() Topics: [DynamoDB](), [Amazon Web Services](), [NoSQL](), [Database](), [Transactions](), [Provisioning](), [Application Development](), [configuration](), [Learning](), [vendor lock-in]() Tags: [aws](), [configuration](), [data-storage](), [database](), [dynamodb](), [learning](), [nosql](), [provisioning](), [system-design-interview](), [transactions]() ### AI overview This tutorial explains DynamoDB for system design interviews. It covers DynamoDB's managed operation, scalability, key-value and NoSQL data model, transaction support, lack of open-source internals, and practical considerations including vendor lock-in and whether interviewers permit its use. ### Source excerpt By the Co-founder of www.hellointerview.comIntro DynamoDB is a fully-managed, highly scalable, key-value service provided by AWS. Cool, buzz-words. But what the hell does that mean and why does it matter? Fully-Managed -- This means that AWS takes care of all the operational aspects of the database. The fully-managed nature allows AWS to handle all operational tasks -- hardware provisioning, configuration, patching, and scaling -- freeing developers to concentrate on application development. Highly Scalable -- DynamoDB can handle massive amounts of data and traffic. It automatically scales up or down to adjust to your application's needs, without any downtime or performance degradation. Key-value -- DynamoDB is a NoSQL database, which means it doesn't use the traditional relational database model. Instead, it uses a key-value model that allows for flexible data storage and retrieval. The moral of the story is that DynamoDB is a super easy to use and can scale to support a wide variety of applications. For system design interviews in particular, it has just about everything you'd ever need from a database. It even supports transactions now! Which neutralizes one of the biggest criticisms of DynamoDB in the past. Importantly, DynamoDB is not open-source, so we can't as easily describe its internals like we did with breakdowns of open source technologies like Kafka and Redis. Instead, we'll focus more on you interact with it. In order to look under the hood, we'll rely on the limited information AWS provides via documentation and the DynamoDB Whitepaper. In this deep dive, we'll break down exactly what you need to know about DynamoDB in order to field any question about it in a system design interview. Along the way, you'll also acquire practical learning that you can later apply in your own projects. Let's break it down! Candidates often ask me, "am I even allowed to use DynamoDB in an interview?"The answer is simple, ask your interviewer! Many will say yes, and just expec ## Heroku Open Sources the Twelve-Factor App Definition DevFeed: [Heroku Open Sources the Twelve-Factor App Definition]() Original publisher: [Read original article]() Author: Betty Junod Published: 2024-11-12T17:15:00Z Content type: release Language: en Sources: [Heroku]() Topics: [Heroku](), [Open Source](), [Application Development](), [Software as a service](), [Cloud](), [Scalability](), [configuration](), [Containers](), [Kubernetes]() Tags: [application-development](), [cloud](), [configuration](), [containers](), [developer-tools](), [guide](), [heroku](), [kubernetes](), [news](), [open-source](), [saas]() ### AI overview Heroku announces that the Twelve-Factor App definition is now an open source project. The article explains that the methodology codifies practices for building portable, scalable, and reliable cloud applications, including single codebases, explicit dependencies, environment-based configuration, and attached backing services. ### Source excerpt Today, we are excited to announce Twelve-Factor is now an open source project. This is a special moment in the journey of Twelve-Factor over the years. Published over a decade ago by Heroku co-founder Adam Wiggins to codify the best practices for writing SaaS apps, the ideas espoused on the Twelve-Factor App website inspired many [...] The post Heroku Open Sources the Twelve-Factor App Definition appeared first on Heroku. ## Essential Annotations Every Spring Developer Should Know DevFeed: [Essential Annotations Every Spring Developer Should Know]() Original publisher: [Read original article]() Author: Nelson Djalo Published: 2024-10-08T16:03:11Z Content type: tutorial Language: en Sources: [Amigoscode Newsletter]() Topics: [Spring Boot](), [Java](), [Application Development](), [configuration](), [Spring MVC](), [HTTP](), [JSON](), [XML]() Tags: [application-development](), [developer](), [http](), [java](), [json](), [mvc](), [spring](), [spring-boot](), [xml]() ### AI overview A tutorial explaining commonly used Spring Boot annotations for configuring applications, managing dependencies, enabling auto-configuration, scanning components, defining MVC controllers, handling HTTP responses, and binding URL and request parameters. ### Source excerpt Understanding Key Annotations for Simplified Development ## Reliability recommendations when adopting Kubernetes DevFeed: [Reliability recommendations when adopting Kubernetes]() Original publisher: [Read original article]() Author: Andre Newman Published: 2024-09-03T00:00:00Z Content type: tutorial Language: en Sources: [Gremlin Blog]() Topics: [Kubernetes](), [migration](), [configuration](), [Performance Testing](), [Application Development]() Tags: [best-practices](), [configuration](), [containers](), [deployment](), [kubernetes](), [migration](), [performance-testing](), [platform](), [production](), [qa](), [quality-assurance](), [resource](), [scale]() ### AI overview This article presents four reliability strategies for organizations adopting Kubernetes. It emphasizes treating reliability as an ongoing practice through regular reliability testing, configuration scans, failure recovery, scalable and replicated deployments, failover planning, and correctly configured liveness, readiness, and resource settings. ### Source excerpt General reliability best practices when adopting Kubernetes. ## Fastify plugins as building blocks for a backend Node.js API DevFeed: [Fastify plugins as building blocks for a backend Node.js API]() Original publisher: [Read original article]() Author: Liran Tal Published: 2024-05-28T05:00:00Z Content type: article Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [Fastify](), [Node.js](), [Back end](), [API](), [Application Development](), [async/await](), [Promise](), [Routing (disambiguation)](), [Open Source]() Tags: [api](), [application-security](), [architecture](), [awareness](), [backend](), [blog](), [blog-post](), [code](), [developer](), [devrel](), [ecosystem](), [javascript](), [node](), [node-js](), [performance](), [plugin](), [routing](), [snyk-code](), [snyk-open-source](), [speed](), [web](), [web-applications](), [web-development]() ### AI overview This article presents Fastify and its plugin ecosystem as building blocks for backend Node.js APIs. It discusses Fastify's low overhead, performance-oriented architecture, open source community, native ECMAScript module support, async/await route definitions, promise-based asynchronous code, and radix-tree routing for efficient request handling. ### Source excerpt This blog post will focus on the foundational building blocks of building backend Node.js APIs using Fastify and its recommended plugins in 2024. ## 360 degrees of application security with Snyk DevFeed: [360 degrees of application security with Snyk]() Original publisher: [Read original article]() Author: Soumen Mukherjee Published: 2024-04-24T05:00:00Z Content type: article Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [Application Security](), [snyk-platform](), [Application Development](), [snyk-code](), [Extension](), [ide](), [Vulnerabilities]() Tags: [ambassador](), [application-development](), [application-security](), [awareness](), [blog](), [devops](), [executive](), [extension](), [ide](), [interest](), [security](), [shift-left](), [snyk](), [snyk-code](), [snyk-platform](), [tools](), [vulnerabilities]() ### AI overview This article presents the Snyk platform as a unified approach to application security across the secure development life cycle. It describes how Snyk Code, IDE extensions, and repository scanning help developers identify vulnerable code, shift security left, and reduce the cost and complexity of managing multiple security tools. ### Source excerpt Snyk Ambassador Soumen Mukherjee walks us through the various features of the Snyk platform and how it provides 360 degrees of application security. ## Cheaper, Better, Faster, Stronger DevFeed: [Cheaper, Better, Faster, Stronger]() Original publisher: [Read original article]() Published: 2024-04-17T14:00:00Z Content type: release Language: en Sources: [Mistral AI Blog]() Topics: [mixtral](), [moe](), [Large Language Model](), [Open Source](), [Open Source Models & Datasets](), [coding](), [Fine-tuning](), [long-context](), [Inference](), [Application Development]() Tags: [ai](), [coding](), [context-window](), [fine-tuning](), [inference](), [llm](), [mixtral](), [mixture-of-experts](), [models](), [open](), [open-source](), [performance]() ### AI overview Mistral introduces Mixtral 8x22B, an open sparse Mixture-of-Experts model with 141B total parameters and 39B active parameters. It emphasizes cost-efficient performance, multilingual capabilities, mathematics and coding, function calling, a 64K-token context window, fine-tuning, and Apache 2.0 licensing. ### Source excerpt The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models. ## What I learned from looking at 900 most popular open source AI tools DevFeed: [What I learned from looking at 900 most popular open source AI tools]() Original publisher: [Read original article]() Author: Chip Huyen Published: 2024-03-14T00:00:00Z Content type: article Language: en Sources: [Chip Huyen]() Topics: [Artificial Intelligence](), [Open Source](), [foundation-models](), [Development](), [Large Language Model](), [AI Engineering](), [Machine learning](), [Application Development](), [GitHub](), [Prompt Engineering](), [Retrieval Augmented Generation (RAG)](), [PyTorch]() Tags: [ai](), [engineering](), [foundation-models](), [github](), [model](), [open-source](), [open-source-ai](), [pytorch](), [skypilot](), [transformers](), [vector]() ### AI overview The article analyzes 896 popular open-source AI repositories, focusing on 845 software repositories after excluding tutorials and aggregated lists. It organizes the ecosystem around foundation models into infrastructure, model development, and application development, and notes differences between China's open-source ecosystem and Western ecosystems. ### Source excerpt [Hacker News discussion, LinkedIn discussion, Twitter thread] Update (Feb 2026): The full list of open source AI repos is hosted at Good AI List, updated daily. It's balooned to 15K repos, and you can submit missing repos. You can also find some of them on my cool-llm-repos list on GitHub. Four years ago, I did an analysis of the open source ML ecosystem. Since then, the landscape has changed, so I revisited the topic. This time, I focused exclusively on the stack around foundation models. Data I searched GitHub using the keywords gpt, llm, and generative ai. If AI feels so overwhelming right now, it's because it is. There are 118K results for gpt alone. To make my life easier, I limited my search to the repos with at least 500 stars. There were 590 results for llm, 531 for gpt, and 38 for generative ai. I also occasionally checked GitHub trending and social media for new repos. After MANY hours, I found 896 repos. Of these, 51 are tutorials (e.g. dair-ai/Prompt-Engineering-Guide) and aggregated lists (e.g. f/awesome-chatgpt-prompts). While these tutorials and lists are helpful, I'm more interested in software. I still include them in the final list, but the analysis is done with the 845 software repositories. It was a painful but rewarding process. It gave me a much better understanding of what people are working on, how incredibly collaborative the open source community is, and just how much China's open source ecosystem diverges from the Western one. The New AI Stack I think of the AI stack as consisting of 3 layers: infrastructure, model development, and application development. Infrastructure At the bottom is the stack is infrastructure, which includes toolings for serving (vllm, NVIDIA's Triton), compute management (skypilot), vector search and database (faiss, milvus, qdrant, lancedb), .... Model development This layer provides toolings for developing models, including frameworks for modeling & training (transformers, pytorch, DeepSpeed), inference optimization ## How to build a modern DevSecOps culture: Lessons from Jaguar Land Rover and Asda DevFeed: [How to build a modern DevSecOps culture: Lessons from Jaguar Land Rover and Asda]() Original publisher: [Read original article]() Author: Brian Piper Published: 2024-02-21T05:00:00Z Content type: article Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [DevSecOps](), [Application Security](), [Tooling](), [Application Development]() Tags: [acquisition](), [awareness](), [blog](), [collaboration](), [customer](), [customer-featured](), [developers](), [development-tools](), [devops](), [devsecops](), [how-to](), [megawatt](), [security](), [snyk-platform](), [tooling]() ### AI overview The article presents lessons from Jaguar Land Rover and Asda on building a modern DevSecOps culture. It emphasizes the continuing importance of people, processes, and tooling, with developer participation in security-tool decisions identified as critical to adoption and secure development. ### Source excerpt Organizations experience different pain points when implementing a DevSecOps culture, but the fundamentals of people, process, and tooling changes remain the same. [Next page]()