# Customization Published articles for Customization. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Build an AI-powered product tagging system with Amazon SageMaker serverless model customization DevFeed: [Build an AI-powered product tagging system with Amazon SageMaker serverless model customization]() Original publisher: [Read original article]() Author: Linpo Guo Published: 2026-09-15T16:11:36Z Content type: tutorial Language: en Sources: [Artificial Intelligence]() Topics: [Artificial Intelligence](), [Amazon SageMaker AI](), [Fine-tuning](), [rlvr](), [grpo](), [Inference](), [model-deployment](), [Reinforcement learning](), [SDK](), [Serverless]() Tags: [ai](), [amazon-sagemaker](), [amazon-sagemaker-ai](), [aws](), [compute](), [cost](), [customization](), [expert-400](), [fine-tuning](), [inference](), [jobs](), [reinforcement-learning](), [rlvr](), [sdk](), [technical-how-to]() ### AI overview This walkthrough shows how to build a product tagging system by customizing Qwen3-8B with supervised fine-tuning and reinforcement learning with verifiable rewards on Amazon SageMaker serverless model customization. It then deploys the optimized model for asynchronous inference to enrich retail catalogs. ### Source excerpt Manually tagging thousands of catalog products is slow and inconsistent. This walkthrough shows how to customize Qwen3-8B with supervised fine-tuning (SFT) and reinforcement learning with verifiable rewards (RLVR) on Amazon SageMaker serverless model customization, then deploy it for asynchronous inference to build a cost-efficient product tagging system. ## Raspberry Pi Desktop Overhauled On Raspberry Pi OS, Adds Icon Dock DevFeed: [Raspberry Pi Desktop Overhauled On Raspberry Pi OS, Adds Icon Dock]() Original publisher: [Read original article]() Author: Michael Larabel Published: 2026-09-15T10:14:58Z Content type: news Language: en Sources: [Phoronix]() Topics: [Raspberry Pi](), [ui](), [User experience (UX)](), [App]() Tags: [customization](), [desktop](), [desktop-linux](), [features](), [linux-benchmarking](), [linux-hardware-benchmarks](), [linux-hardware-reviews](), [linux-how-to](), [linux-performance](), [linux-server-benchmarks](), [open-source-graphics](), [phoronix](), [phoronix-test-suite](), [raspberry-pi](), [raspberry-pi-os](), [screen](), [ubuntu-benchmarks](), [ubuntu-hardware](), [ui-ux]() ### AI overview Raspberry Pi Desktop has received a substantial UI and UX overhaul in the latest Raspberry Pi OS image and package updates. The changes include a default icon dock, a graphical application launcher, a new task list, additional customization options, and an improved screenshot experience. ### Source excerpt The Raspberry Pi Desktop on Raspberry Pi OS has seen a major overhaul to better modernize the desktop computing experience on the ARM64 single board computers... ## Stop alt-tabbing into the wrong Visual Studio DevFeed: [Stop alt-tabbing into the wrong Visual Studio]() Original publisher: [Read original article]() Author: Mads Kristensen Published: 2026-09-02T14:00:12Z Content type: tutorial Language: en Sources: [Visual Studio Blog]() Topics: [Visual Studio 2026](), [ide]() Tags: [accessibility](), [customization](), [how-to](), [json](), [themes](), [visual-studio](), [visual-studio-2026]() ### AI overview The article explains how to set a color theme per Visual Studio solution through the new settings experience. Per-solution settings are stored in settings.VisualStudio.json and can be committed with the solution. ### Source excerpt A user asked for per-solution color themes. It already ships, and it goes further than they asked. You run several instances of Visual Studio side by side, one per solution, and they all look identical. Same taskbar icon, same alt-tab thumbnail, same chrome. So, you land in the wrong one, start typing, and realize thirty [...] The post Stop alt-tabbing into the wrong Visual Studio appeared first on Visual Studio Blog. ## Anonymous and open to all: The Home Assistant survey dataset DevFeed: [Anonymous and open to all: The Home Assistant survey dataset]() Original publisher: [Read original article]() Author: Annika Schulz; Idil Bostan Published: 2026-08-26T00:00:01Z Content type: article Language: en Sources: [Home Assistant]() Topics: [Home Assistant](), [dataset](), [data](), [Open Source](), [GitHub]() Tags: [customization](), [data](), [devices](), [open-source](), [privacy](), [research](), [smart-home](), [survey]() ### AI overview This article announces the free publication of anonymized results from Home Assistant's first community survey, conducted in December 2024 and completed by 8,616 respondents. It describes the survey's purpose, anonymization and privacy safeguards, findings about smart-home users, and how the data will support product work and further research. ### Source excerpt Our why as an organization is clear: to fight for privacy, choice, and sustainability for smart homes, and for every person who lives in one. But who does live in them? In December 2024, we launched the first Home Assistant survey to find out. Our goal was simple: to make Home Assistant more inclusive and approachable by listening directly to the diverse community of people who use it. In the spirit of building in the open, today we're thrilled to announce the anonymized results of that survey are now freely available. In this post, we'll run you through what the survey covered, why and how we're publishing this data, what the data is not (read: identifiable), how we're using this information to improve what we do, and opportunities for further understanding and research. ## Discord Update: August 11, 2026 Changelog DevFeed: [Discord Update: August 11, 2026 Changelog]() Original publisher: [Read original article]() Author: Clyde Published: 2026-08-11T00:00:00Z Content type: release Language: en Sources: [Discord Blog]() Topics: [changelog](), [Discord](), [App](), [Electron](), [cpu](), [Messaging](), [Security, Privacy and Abuse Prevention]() Tags: [app](), [apps](), [changelog](), [cpu](), [customization](), [data](), [discord](), [messaging](), [mobile](), [os](), [privacy](), [tools](), [update](), [updates]() ### AI overview Discord's August 11, 2026 changelog highlights new desktop formatting tools, profile privacy and customization options, friend-request notes, spoiler channels, game mentions, Meta Quest support, and ongoing settings improvements. The desktop client also upgraded to Electron 42, with incremental CPU usage improvements. ### Source excerpt Here's the Discord Changelog from August 11, 2026, so you can stay informed on what's new in recent app updates! ## Generate Trajectories, Reasoning Traces, and Auto-Labels with NVIDIA Alpamayo 2 Super DevFeed: [Generate Trajectories, Reasoning Traces, and Auto-Labels with NVIDIA Alpamayo 2 Super]() Original publisher: [Read original article]() Author: Elizabeth Goodman Published: 2026-08-04T15:00:00Z Content type: tutorial Language: en Sources: [NVIDIA Developer](), [NVIDIA Technical Blog]() Topics: [foundation-models](), [Cosmos](), [model-deployment](), [Reinforcement learning](), [Inference](), [GitHub](), [hugging face](), [Open Source Models & Datasets]() Tags: [accelerate](), [automotive-transportation](), [autonomous](), [benchmarks](), [cosmos](), [customization](), [data](), [developer-tools-techniques](), [developers](), [development](), [diffusion](), [drive](), [driving](), [evaluation](), [featured](), [fine-tuning](), [generate](), [generation](), [github](), [hugging-face](), [inference](), [learning](), [models](), [nvidia](), [reasoning](), [robot-navigation](), [robotics](), [simulation-modeling-design](), [top-stories]() ### AI overview NVIDIA Alpamayo 2 Super is an open 34-billion-parameter reasoning vision-language-action model for autonomous vehicle development. It combines NVIDIA Cosmos 3 Super Reasoner with a diffusion-based Action Expert to generate trajectories, reasoning traces, meta-actions, scene answers, and auto-labels across development workflows. ### Source excerpt Autonomous vehicle (AV) development often relies on separate models for trajectory generation, high-level intent prediction, scene understanding, and data... ## Jellyfin vs Plex on Raspberry Pi: Which Is Best? DevFeed: [Jellyfin vs Plex on Raspberry Pi: Which Is Best?]() Original publisher: [Read original article]() Author: Thomas Dyan Published: 2026-08-01T05:00:00Z Content type: comparison Language: en Sources: [RaspberryTips]() Topics: [Jellyfin](), [Server](), [servers](), [Open Source](), [Software](), [User Experience]() Tags: [comparison](), [customization](), [devices](), [features](), [inspiration](), [jellyfin](), [media](), [open-source](), [performance](), [plex](), [raspberry-pi](), [self-hosted](), [server](), [software]() ### AI overview A comparison of Plex and Jellyfin as self-hosted media servers on a Raspberry Pi. It examines their features, user experience, performance, library management, subtitles, plugins, cost, and customization, with recommendations about which service may be preferable in different areas. ### Source excerpt If you're planning to use your Raspberry Pi as a media server, the good news is that you have many software choices. If you're trying to decide between Plex and Jellyfin to watch movies and TV, let me compare these two for you and share my recommendations. Plex is a freemium media server with pre-configured... ## Start Customizing NVIDIA Nemotron 3 Nano with Prime Intellect Lab in Minutes DevFeed: [Start Customizing NVIDIA Nemotron 3 Nano with Prime Intellect Lab in Minutes]() Original publisher: [Read original article]() Author: Chris Alexiuk Published: 2026-07-23T16:00:00Z Content type: tutorial Language: en Sources: [NVIDIA Developer](), [NVIDIA Technical Blog]() Topics: [rlvr](), [Large Language Model](), [Fine-tuning](), [Reinforcement learning](), [Python](), [coding](), [math]() Tags: [agentic-ai-generative-ai](), [blog](), [coding](), [customization](), [developer-tools-techniques](), [developers](), [experiment](), [featured](), [fine-tuning](), [getting-started](), [math](), [nemotron](), [nvidia](), [open](), [python](), [reinforcement-learning](), [rlvr](), [top-stories](), [train](), [training](), [tutorial]() ### AI overview This tutorial shows how to customize NVIDIA Nemotron 3 Nano with Prime Intellect Lab using reinforcement learning with verifiable rewards on a Python Math environment. It covers a baseline-training-reevaluation workflow and produces a downloadable LoRA adapter. ### Source excerpt Customization is what enables developers to take a general model and tailor it to use cases, domains, languages, and more. However, customization comes with a... ## SpaceDeck X July devlog: upgrades, backgrounds, and more DevFeed: [SpaceDeck X July devlog: upgrades, backgrounds, and more]() Original publisher: [Read original article]() Author: Stanko Published: 2026-07-23T00:00:00Z Content type: article Language: en Sources: [Stanko Tadić]() Topics: [Development](), [Website]() Tags: [customization](), [game-dev](), [pixel-art](), [redesign](), [steam](), [updates](), [upgrades]() ### AI overview A July development log for SpaceDeck X describes progress toward a Steam release, including a new upgrades system and library, redesigned UI panels, ship weapon and characteristic tweaks, decorative backgrounds and shadows, run-history work, and controller-button customization. ### Source excerpt I've been developing SpaceDeck X since December last year. It started as me playing with a random framework I found fun, and it grew so much that I'm now working towards releasing it on Steam. I kept a devlog on Itch, but I feel like it is time to bring it to my own website. Especially considering that these updates are exclusive to the Steam version. I have a pretty clear vision for the release, and lately I've made amazing progress. Here are the major things I've made, in no particular order. Upgrades system # The new upgrades system was brewing in my head for a long time. Honestly, I thought it would take me longer to implement it, but once I started, I got in the zone and built a completely new system. This is the new upgrades selection screen: Compare it to the old one: Upgrades library # Upgrades got their own library, so players can inspect and learn about all of them. In two days I managed to draw 44 upgrade icons. Some of them I just winged and now I'm retrofitting them to the actual game upgrades. Redesigned UI panels # After making new upgrade cards, I got an urge to redesign some of the game's UI. I'm trying to avoid scope creep, but I had to create a way for the player to see their upgrades, so I decided to give a facelift to the deck panel as well. You can open both panels by holding Tab in the boss fight: And they show automatically in the pause menu: Ships # Ships are not brand new, but in the last few weeks I tweaked their specific weapons and characteristics. It is still a work in progress, but all ships are functional and have their own quirks. Backgrounds and shadows # These are purely decorative, but I think they elevate the experience a lot. These background objects add more visual depth. They also change every few levels, giving the player a better sense of progression. For now I created two sets of backgrounds (the gray tech-industrial one and an Aztec/Protoss-inspired one). The plan is to have four or five for the full game. These are quite ## Create a LangChain Deep Agents Harness Profile for NVIDIA Nemotron 3 Ultra to Improve Performance DevFeed: [Create a LangChain Deep Agents Harness Profile for NVIDIA Nemotron 3 Ultra to Improve Performance]() Original publisher: [Read original article]() Author: Sean Lopp Published: 2026-07-08T18:17:59Z Content type: tutorial Language: en Sources: [NVIDIA Developer](), [NVIDIA Technical Blog]() Topics: [AI Bots](), [ai observability]() Tags: [agentic](), [agentic-ai-generative-ai](), [agents](), [ai-agent](), [benchmark](), [customization](), [evaluation](), [featured](), [langchain](), [nemotron](), [nvidia](), [performance](), [profile](), [python](), [top-stories](), [tutorial]() ### AI overview A tutorial on creating and evaluating a LangChain Deep Agents harness profile for NVIDIA Nemotron 3 Ultra. It uses benchmark-driven iteration to tune harness behavior and improve performance without fine-tuning the model. ### Source excerpt Agentic systems often face a trade-off between accuracy and cost. The highest-performing proprietary frontier models and harnesses provide top accuracy but are... ## Raspberry Pi OS: A Complete Guide to the New Control Centre DevFeed: [Raspberry Pi OS: A Complete Guide to the New Control Centre]() Original publisher: [Read original article]() Author: Usman Qamar Published: 2026-07-08T05:00:00Z Content type: tutorial Language: en Sources: [RaspberryTips]() Topics: [GUI](), [configuration](), [App](), [Utility Software]() Tags: [beginner-s-guides](), [customization](), [gui](), [guide](), [how-to](), [os](), [raspberry-pi](), [raspberry-pi-os]() ### AI overview This guide introduces the Raspberry Pi Control Centre, a new desktop settings application in Raspberry Pi OS Trixie. It explains how the app brings system, display, interface, keyboard, mouse, appearance, and other configuration options together in one GUI. ### Source excerpt If you've just upgraded to Raspberry Pi OS Trixie, some settings may not be where you expect them to be. Tools like Appearance Settings, Screen Configuration, Mouse and Keyboard settings, and other small utilities have been grouped into a new app called Control Centre. I think it's a good idea, but the first time you... ## Visual Studio Code 1.126 DevFeed: [Visual Studio Code 1.126]() Original publisher: [Read original article]() Author: Visual Studio Code Team Published: 2026-06-24T17:00:00Z Content type: release Language: en Sources: [Visual Studio Code - Code Editing. Redefined.]() Topics: [AI Chat](), [AI Bots]() Tags: [agents](), [copilot](), [cost](), [customization](), [language-models](), [release](), [vs-code]() ### AI overview Visual Studio Code 1.126 adds session-level chat cost visibility, a unified picker for language-model context and reasoning settings, and preview support for multiple chats within an agent-hosted Copilot session. ### Source excerpt Learn what is new in Visual Studio Code 1.126 Read the full article ## Where the goblins came from DevFeed: [Where the goblins came from]() Original publisher: [Read original article]() Published: 2026-04-29T20:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [Artificial Intelligence](), [AI Models](), [ChatGPT]() Tags: [ai](), [analysis](), [chatgpt](), [customization](), [launch](), [models](), [production](), [publication](), [training]() ### AI overview The article investigates why GPT-5 models increasingly used goblin and gremlin metaphors. It traces the behavior to small training incentives associated with the Nerdy personality customization, describes its growth after GPT-5.1 and GPT-5.4, and reports the connection through production-traffic analysis. ### Source excerpt How goblin outputs spread in AI models: timeline, root cause, and fixes behind personality-driven quirks in GPT-5 behavior. ## Made in Compose: Airbnb Month Picker Dial DevFeed: [Made in Compose: Airbnb Month Picker Dial]() Original publisher: [Read original article]() Author: sinasamaki Published: 2026-04-17T12:55:42Z Content type: tutorial Language: en Sources: [sinasamaki]() Topics: [Compose](), [Jetpack Compose](), [Canvas](), [Library]() Tags: [article](), [canvas](), [compose](), [customization](), [how-to](), [jetpack-compose](), [render](), [rotation]() ### AI overview A tutorial on recreating Airbnb's month-duration dial picker in Jetpack Compose using the ChromaDial library. It covers configuring a 12-month range, mapping values around a 330-degree sweep, styling the thumb, rendering the inactive track with Canvas, and creating a rounded active arc track. ### Source excerpt How to create a gorgeous Dial in Jetpack Compose ## Mistral AI Releases Voxtral TTS, a Multilingual Text-to-Speech Model DevFeed: [Mistral AI Releases Voxtral TTS, a Multilingual Text-to-Speech Model]() Original publisher: [Read original article]() Published: 2026-03-23T16:00:00Z Content type: release Language: en Sources: [Mistral AI Blog]() Topics: [voice ai](), [Artificial Intelligence](), [API](), [Low Latency](), [User experience (UX)]() Tags: [agents](), [ai-agents](), [api](), [audio](), [customization](), [latency](), [low-latency](), [quality](), [speech](), [text-to-speech](), [voice-ai](), [zero-shot]() ### AI overview Mistral AI has released Voxtral TTS, a 4B-parameter text-to-speech model designed to generate realistic, emotionally expressive speech in nine languages. It emphasizes low latency, contextual understanding, speaker modeling, and zero-shot cross-lingual voice adaptation for enterprise voice workflows and AI agents. The model is available through an API and Mistral Studio. ### Source excerpt Voxtral TTS: A frontier, open-weights text-to-speech model that's fast, instantly adaptable, and produces lifelike speech for voice agents. ## Retiring GPT-4o, GPT-4.1, GPT-4.1 mini, and OpenAI o4-mini in ChatGPT DevFeed: [Retiring GPT-4o, GPT-4.1, GPT-4.1 mini, and OpenAI o4-mini in ChatGPT]() Original publisher: [Read original article]() Published: 2026-01-29T00:00:00Z Content type: news Language: en Sources: [OpenAI News]() Topics: [ChatGPT](), [OpenAI](), [API]() Tags: [announcement](), [chatgpt](), [creativity](), [customization](), [gpt](), [openai](), [product](), [release](), [updates]() ### AI overview OpenAI announces that GPT-4o, GPT-4.1, GPT-4.1 mini, and o4-mini will be retired from ChatGPT on February 13, 2026. The API is unchanged for now. The announcement links the retirement to improvements in GPT-5.1, GPT-5.2, ChatGPT personality, creative ideation, and customization, while acknowledging that some users may find the change frustrating. ### Source excerpt On February 13, 2026, alongside the previously announced retirement⁠ of GPT-5 (Instant, Thinking, and Pro), we will retire GPT-4o, GPT-4.1, GPT-4.1 mini, and OpenAI o4-mini from ChatGPT. In the API, there are no changes at this time. ## From VHS to Interactive Streams: Customization at Scale with the NFL Sunday Ticket on YouTube DevFeed: [From VHS to Interactive Streams: Customization at Scale with the NFL Sunday Ticket on YouTube]() Original publisher: [Read original article]() Author: Shawn DeVries Published: 2026-01-23T23:05:00Z Content type: article Language: en Sources: [8th Light Insights]() Topics: [Streaming](), [personalization](), [Sports](), [real-time](), [Playback](), [ui](), [parallel](), [Mobile]() Tags: [customization](), [interactive](), [mobile](), [parallel](), [personalization](), [platform-innovation](), [playback](), [real-time](), [scale](), [sports](), [streams](), [ui]() ### AI overview This article examines how NFL Sunday Ticket on YouTube moved live sports viewing from a fixed broadcast toward personalized, interactive streams. It describes custom Multiview layouts, fantasy integrations, spoiler controls, playback options, and interfaces that work across TVs, mobile devices, and tablets. ### Source excerpt It's the mid-90s, it's Sunday morning, and you're about to set your VCRs to record on your NFL game of choice You'd capture everything, commercials, dead time, halftime filler, and hope the tape didn't cut out in overtime. It was static. One-size-fits-all. Then TiVo arrived. That pause button changed the game. Suddenly, fans could freeze a field goal, run to grab game day food, and unpause just in time for the kick. Control entered the living room. Fast forward to NFL Sunday Ticket on YouTube. Fans are now building their own broadcast in real time. The cultural shift is clear: live sports have moved from passive consumption to personalized control over the gameday experience. Raising the Stakes For nearly three decades, NFL Sunday Ticket lived only on DirecTV. It was a premium cable-era product; expensive, exclusive, and tied to satellite hardware. Fans outside their home market had little choice but to buy into the bundle if they wanted every game. That era is over. When YouTube secured the Sunday Ticket package, it leapt from the satellite dish into the streaming stack. And with that leap came a redefinition of expectations: reliability is still required, but now the baseline includes interactivity and personalization at a massive scale. Inside Sunday Ticket's interactive layer: Custom Multiview Fans can build their own layout with two, three, or four games running in parallel. Local broadcasts integrate seamlessly for YouTube TV base subscribers. Multiview works across TVs, mobile, and tablets, keeping the experience consistent. Fantasy View Integration Users can link NFL Fantasy and Yahoo Fantasy accounts. This allows fantasy stats and team updates surface directly in the stream. Spoiler Mode & Playback Features Hide scores until you're ready to see them. Advanced playback controls such as broadcast delay toggle All the features create more ways to personalize the live feed. Improved UI & Side-by-Side Experience Dual-column layouts show live action next to stats ## Three new features to help build brand momentum with Figma Buzz DevFeed: [Three new features to help build brand momentum with Figma Buzz]() Original publisher: [Read original article]() Author: Jasmine Stoy Published: 2025-10-23T00:00:00Z Content type: article Language: en Sources: [Figma Blog]() Topics: [Figma](), [Template](), [Code]() Tags: [ads](), [animation](), [asset-management](), [customization](), [design](), [design-systems](), [event](), [features](), [figma](), [linkedin](), [marketing](), [plugins](), [product-development](), [promotion](), [social-media](), [tools](), [video]() ### AI overview Figma Buzz introduces three features for creating branded marketing assets: configurable templates connected to design systems, plugins for tasks such as digital asset management and translation, and direct video trimming. ### Source excerpt With marketing templates that are now connected to your design system, plugins that pull in your favorite apps, and video trimming in Figma Buzz, we're giving designers and marketers new tools to create branded assets that speak volumes. ## Fine-tune Any LLM from the Hugging Face Hub with Together AI DevFeed: [Fine-tune Any LLM from the Hugging Face Hub with Together AI]() Original publisher: [Read original article]() Author: Zain Hasan; Artem Chumachenko; Egor Timofeev; Max Ryabinin Published: 2025-09-10T17:04:36Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [Fine-tuning](), [hugging face](), [Large Language Model](), [model-deployment](), [Inference](), [GPU]() Tags: [ai](), [customization](), [devops](), [fine-tuning](), [gpu](), [hub](), [hugging-face](), [inference](), [llama](), [llm](), [memory](), [meta](), [pipeline]() ### AI overview The article announces an integration that enables compatible LLMs from the Hugging Face Hub to be fine-tuned using Together AI infrastructure. It describes using a Together AI base model as a training template for infrastructure configuration, optimization, GPU and memory allocation, training, and inference, while the custom model is the Hugging Face model being fine-tuned. Models can be trained, deployed for inference, downloaded, or pushed back to the Hub, including support for private repositories with appropriate tokens. ### Source excerpt But here's the challenge: finding an amazing model is just the beginning. What happens when you discover a model that's 90% perfect for your use case, but you need that extra 10% of customization? Traditional fine-tuning infrastructure is complex, expensive, and often requires significant DevOps expertise to set up and maintain. This is exactly the gap that Together AI and Hugging Face are bridging today. ## I self-hosted my own RSS reader to keep up with the news DevFeed: [I self-hosted my own RSS reader to keep up with the news]() Original publisher: [Read original article]() Author: Dhruv Bhutani Published: 2025-03-08T23:00:10Z Content type: opinion Language: en Sources: [XDA - RSS]() Topics: [RSS Feed](), [Homelab](), [Docker](), [Open Source](), [Deployment](), [hosting](), [Extension](), [GitHub]() Tags: [customization](), [deployment](), [docker](), [extensions](), [github](), [hosting](), [nas](), [open-source](), [privacy](), [remote-access](), [rss](), [self-hosted](), [speed]() ### AI overview The author self-hosts FreshRSS on a home NAS to retain control over RSS reading, avoid service shutdowns and paywalls, and address privacy concerns. FreshRSS is described as lightweight, customizable, performant, easy to deploy with Docker, and accessible remotely through Tailscale. ### Source excerpt Self-hosting FreshRSS gives you speed, privacy, and customization in one package ## Neon Auth is Here: Get Authentication in a Couple of Clicks DevFeed: [Neon Auth is Here: Get Authentication in a Couple of Clicks]() Original publisher: [Read original article]() Author: Brian Holt Published: 2025-02-20T17:35:57Z Content type: release Language: en Sources: [Blog -- Neon Docs]() Topics: [Authentication](), [Database](), [Provisioning](), [migration](), [Software as a service](), [Open Source]() Tags: [authentication](), [company](), [customization](), [database](), [migration](), [open-source](), [provisioning](), [saas](), [sync](), [vendor-lock-in]() ### AI overview Neon announces Neon Auth, a fully managed authentication solution integrated with the Neon platform. It provisions Stack Auth from the Neon console and automatically synchronizes user profiles with the database, while supporting ownership transfer, manual setup, customization, and migration away from Neon. ### Source excerpt We're excited to announce Neon Auth, a fully managed authentication solution tightly integrated into the Neon platform. It now takes seconds to provision an auth solution directly from the Neon console; once set up, your user profiles automatically sync to your database. The best... ## Announcing Chainguard Custom Assembly: Image Customization Without Complexity DevFeed: [Announcing Chainguard Custom Assembly: Image Customization Without Complexity]() Original publisher: [Read original article]() Published: 2025-02-20T00:00:00Z Content type: release Language: en Sources: [Chainguard: Unchained]() Topics: [chainguard images](), [open-source-security](), [Containers](), [Security](), [Development]() Tags: [bash](), [chainguard](), [chainguard-custom-assembly](), [chainguard-images](), [complexity](), [container-images](), [curl](), [custom-assembly](), [customization](), [cve](), [cve-remediation](), [development](), [docker](), [image](), [integrity](), [maintenance](), [no-vulnerabilities](), [open-source](), [open-source-software](), [secure-by-design](), [security](), [security-best-practices](), [slsa](), [zero-cves]() ### AI overview Chainguard announces the beta release of Custom Assembly, a product for tailoring Chainguard Images with required packages while preserving hardened builds, security practices, and CVE remediation coverage. The article explains that the product addresses complex, maintenance-heavy customization workflows involving manual image changes, Docker builds, and proprietary pipelines. ### Source excerpt Custom Assembly is Chainguard's new image customization product that enables companies to consume zero-CVE open source software tailored to unique requirements. ## Should we make it a preference?: On customization, defaults, and accessibility DevFeed: [Should we make it a preference?: On customization, defaults, and accessibility]() Original publisher: [Read original article]() Author: andyacevedo Published: 2025-01-23T18:28:29Z Content type: article Language: en Sources: [Slack Design]() Topics: [Accessibility](), [User interface design](), [Slack]() Tags: [accessibility](), [customization](), [keyboard](), [screen](), [uncategorized]() ### AI overview Slack Design explains when accessibility accommodations should be defaults rather than optional preferences. It argues that new users should receive an accessible experience out of the box, while preferences should support advanced customization and preserve familiar behavior during significant changes. ### Source excerpt Design that is inclusive and accessible almost always works better for everyone. But once in a while we reach a genuine dilemma -- the more technically accessible choice adds friction or breaks expectations for everyone else. In these moments, someone inevitably asks: Can we just make it a preference? "Make it a preference" is sometimes [...] The post Should we make it a preference?: On customization, defaults, and accessibility appeared first on Slack Design. ## Designing a Tinted iOS 18 App Icon with Alternate Brand Marks and Alpha Gradients DevFeed: [Designing a Tinted iOS 18 App Icon with Alternate Brand Marks and Alpha Gradients]() Original publisher: [Read original article]() Author: Marcelo Marfil Published: 2024-11-11T09:00:00Z Content type: tutorial Language: en Sources: [Sketch Blog]() Topics: [iOS](), [Sketch]() Tags: [apple](), [brand-identity](), [customization](), [design](), [ios](), [learn-design](), [macos](), [visual-hierarchy]() ### AI overview A Sketch design article explains how its team adapted an iOS app icon for iOS 18's tinted appearance. It focuses on alternate brand marks and alpha gradients, along with clarity, contrast, and consistency with stock iOS icon design. ### Source excerpt Tinted app icons in iOS 18 were met with plenty of concerns over visual hierarchy and brand identity. Here are a few tricks we used to make ours look good and feel right at home. [Next page]()