# Frameworks Frameworks are reusable, semi-complete applications that developers specialize to create custom software applications. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## TanStack Charts Introduced with a Framework Agnostic Grammar of Graphics for TypeScript DevFeed: [TanStack Charts Introduced with a Framework Agnostic Grammar of Graphics for TypeScript]() Original publisher: [Read original article]() Author: Daniel Curtis Published: 2026-09-17T05:53:00Z Content type: news Language: en Sources: [InfoQ]() Topics: [Library](), [TypeScript](), [Graphics](), [Frameworks](), [React]() Tags: [angular](), [data-visualization](), [development](), [framework](), [graphics](), [introduced](), [library](), [news](), [react](), [react-native](), [tanstack-charts-alpha-introduced](), [typescript](), [visualization](), [vue-js](), [web-development]() ### AI overview TanStack Charts is a new framework-agnostic TypeScript visualization library that uses a grammar-of-graphics approach instead of fixed chart types. It is in Alpha, has about 160,000 weekly downloads, and supports multiple frameworks and environments, though it is not yet stable for production use. ### Source excerpt TanStack Charts is a new, framework-agnostic visualization library for TypeScript. It allows developers to create visualizations by composing various elements instead of using fixed chart types. Currently in Alpha, it has about 160,000 weekly downloads. The library supports multiple frameworks and is designed for a variety of environments, though it is not yet stable for production use. By Daniel Curtis ## AuthKit vs Better Auth for B2B SaaS DevFeed: [AuthKit vs Better Auth for B2B SaaS]() Original publisher: [Read original article]() Author: WorkOS Published: 2026-09-14T00:00:00Z Content type: comparison Language: en Sources: [WorkOS Blog]() Topics: [Software as a service](), [Single sign-on (SSO)](), [Security](), [log management](), [threat detection](), [Frameworks](), [MFA](), [Passkeys]() Tags: [auth](), [comparison](), [enterprise](), [logs](), [mfa](), [saas](), [security](), [threat-detection](), [vercel]() ### AI overview This comparison examines AuthKit and Better Auth as platforms for B2B SaaS products selling to enterprise IT buyers. It argues that both now provide core capabilities such as SSO, SCIM, and audit logs, so the meaningful differences are provider coverage, where user lifecycle management begins, and contractual responsibility. The article also describes Better Auth's hosted infrastructure, dashboard, SIEM drain, self-service provisioning, and threat detection features, while noting its convergence with AuthKit on enterprise requirements. ### Source excerpt Both ship SSO, SCIM and audit logs now. The comparison that decides enterprise deals has moved to the long tail: provider coverage, where user lifecycle actually starts, and who is contractually on the hook. ## The Real Python Podcast - Episode #310: Performance Engineering: Profiling and Making Apps Fast by Default DevFeed: [The Real Python Podcast - Episode #310: Performance Engineering: Profiling and Making Apps Fast by Default]() Original publisher: [Read original article]() Author: Real Python Published: 2026-09-04T12:00:00Z Content type: article Language: en Sources: [Real Python]() Topics: [Python](), [Developer experience](), [Frameworks](), [Microservice](), [Large Language Model]() Tags: [engineering](), [frameworks](), [llms](), [microservices](), [performance](), [podcast](), [profiling](), [python]() ### AI overview This Real Python Podcast episode discusses performance engineering for Python applications with Den Odell, author of "Fast by Default: Practical Performance Engineering." It covers performance budgets, profiling, data-driven decisions, planning for performance, and maintaining speed as systems and user bases grow. ### Source excerpt How do you plan for the performance of your Python applications? What does a performance budget entail, and where should you spend your resources? This week on the show, we speak with Den Odell about his new book "Fast by Default: Practical Performance Engineering." ## Linear's Case for Building a Custom Agent Harness Instead of Using Agent Frameworks DevFeed: [Linear's Case for Building a Custom Agent Harness Instead of Using Agent Frameworks]() Original publisher: [Read original article]() Author: Byte-Sized Design Published: 2026-08-10T17:59:45Z Content type: opinion Language: en Sources: [Byte-Sized Design]() Topics: [Frameworks]() Tags: [agent](), [frameworks](), [harness](), [tools]() ### AI overview The article presents a case for building a custom agent harness instead of using agent frameworks, focusing on shallow tools and just-in-time skills. ### Source excerpt Shallow tools, just-in-time skills, and a defensible case for a custom harness ## What's content modeling? A guide to structured web design DevFeed: [What's content modeling? A guide to structured web design]() Original publisher: [Read original article]() Author: Webflow Team Published: 2026-08-07T00:00:00Z Content type: article Language: en Sources: [Webflow Blog]() Topics: [web design](), [Web](), [Frameworks](), [Forms]() Tags: [content](), [design](), [errors](), [forms](), [framework](), [guide](), [types](), [validation](), [web](), [web-design]() ### AI overview This guide explains content modeling for structured web design. It shows how to define reusable content types, fields, relationships, validation rules, taxonomies, and tags so client websites remain consistent and easier to expand. ### Source excerpt Learn what content modeling is, how this model organizes digital content, and how to create a clear structure that helps you expand client sites quickly. ## Orchard: An open framework for scalable agentic AI DevFeed: [Orchard: An open framework for scalable agentic AI]() Original publisher: [Read original article]() Author: Baolin Peng, Wenlin Yao, Qianhui Wu, Hao Cheng, Jianfeng Gao Published: 2026-08-03T16:00:00Z Content type: article Language: en Sources: [Microsoft Research]() Topics: [Artificial Intelligence](), [AI Research](), [Open Source](), [Frameworks](), [Kubernetes](), [Reinforcement learning](), [computer-use](), [codex](), [OpenClaw]() Tags: [agentic](), [agentic-ai](), [agents](), [ai](), [artificial-intelligence](), [autonomous](), [autonomous-agents](), [building](), [codex](), [evaluation](), [framework](), [infrastructure](), [kubernetes](), [learning](), [models](), [open](), [open-source](), [research](), [research-blog](), [train](), [workflows]() ### AI overview Orchard is an open-source framework for training and evaluating agentic AI systems across software engineering, web navigation, and personal-assistant tasks. Its reusable Orchard Env provides Kubernetes-based infrastructure for data collection, reinforcement-learning rollouts, and evaluation, while Orchard-SWE, Orchard-GUI, and Orchard-Claw demonstrate strong results from relatively small open-weight models. ### Source excerpt Orchard is an open-source framework for the research community to train and evaluate AI agents across task types. It reduces complexity while supporting strong performance from smaller models by enabling researchers to reuse the same infrastructure. The post Orchard: An open framework for scalable agentic AI appeared first on Microsoft Research. ## WebSocket support is now available for Python Functions DevFeed: [WebSocket support is now available for Python Functions]() Original publisher: [Read original article]() Author: Ricardo Gonzalez Published: 2026-07-23T00:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [WebSocket](), [Python](), [Vercel](), [ASGI](), [FastAPI](), [real-time](), [Django](), [Flask](), [Streaming](), [Frameworks](), [AI Chat](), [client]() Tags: [ai](), [applications](), [code](), [collaboration](), [communication](), [django](), [examples](), [features](), [flask](), [frameworks](), [python](), [real-time](), [server](), [streaming](), [vercel]() ### AI overview Vercel has added WebSocket support for Python applications and Functions. The feature supports bidirectional client-server communication for real-time use cases such as interactive AI streaming, chat, and multiplayer collaboration, with compatibility for ASGI and WSGI applications including FastAPI, Django, and Flask. ### Source excerpt Vercel now supports WebSocket connections for Python applications. WebSockets enable bidirectional communication between client- and server-side code, powering real-time features like interactive AI streaming, real-time chat, and multiplayer live collaboration. Both ASGI and WSGI applications are supported, including frameworks like FastAPI, Django, and Flask. Explore the FastAPI AI Chat and Flask AI Chat examples, or read the WebSockets documentation to get started. Read more ## How to choose and adapt product management frameworks DevFeed: [How to choose and adapt product management frameworks]() Original publisher: [Read original article]() Author: Bart Krawczyk Published: 2026-07-22T12:30:48Z Content type: article Language: en Sources: [LogRocket Blog]() Topics: [Product Management](), [Frameworks]() Tags: [article](), [frameworks](), [how-to](), [product-management](), [tools-and-resources](), [uncategorized]() ### AI overview An article about choosing and adapting product management frameworks to fit product stage, constraints, problem type, and business context. It argues that frameworks such as RICE, JTBD, OKRs, Kano, and MoSCoW are starting hypotheses rather than universal answers, and emphasizes reading the situation before selecting or modifying a framework. ### Source excerpt Learn how to choose and adapt product management frameworks based on your product stage, constraints, problem type, and business context. The post How to choose and adapt product management frameworks appeared first on LogRocket Blog. ## ESP-GMF v1.0: General Multimedia Framework, First Official Release DevFeed: [ESP-GMF v1.0: General Multimedia Framework, First Official Release]() Original publisher: [Read original article]() Author: John Lee Published: 2026-07-21T00:00:00Z Content type: release Language: en Sources: [Blog on Developer Portal]() Topics: [Frameworks](), [Espressif](), [releases](), [software-architecture](), [Playback](), [Image processing]() Tags: [ai](), [audio](), [blog](), [esp](), [esp-gmf](), [espressif](), [image-processing](), [multimedia](), [playback](), [release](), [software-architecture](), [video]() ### AI overview Espressif announces ESP-GMF v1.0, the first official release of its unified multimedia framework for developing audio, video, and AI multimedia applications on Espressif chips. The release provides a stable API, a modular component architecture, broader media and hardware support, and improved code reuse. It also introduces the ESP Multimedia Core as a shared foundation for multimedia components. ### Source excerpt ESP-GMF v1.0 is the first official release of Espressif's General Multimedia Framework, a lightweight, unified framework for building audio, video, and AI multimedia applications on Espressif chips. This post introduces the release, walks through what is new for each component area, and lists the full v1.0 component set. ## You can now deploy Lovable apps to Vercel DevFeed: [You can now deploy Lovable apps to Vercel]() Original publisher: [Read original article]() Author: Pooya Parsa Published: 2026-07-09T00:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [Vercel](), [Deployment](), [GitHub](), [Frameworks](), [App]() Tags: [apps](), [deployment](), [frameworks](), [github](), [vercel]() ### AI overview Vercel now supports zero-configuration deployment of Lovable applications. Lovable projects can sync to GitHub, be imported into Vercel, and automatically deploy with TanStack Start framework detection; subsequent Lovable changes trigger new Vercel deployments. ### Source excerpt Vercel now supports Lovable applications with zero configuration. To get started, sync your Lovable project to GitHub, then import the repository to Vercel. Vercel automatically detects the framework (TanStack Start) and deploys your app. Once connected, every change you make in Lovable syncs to GitHub and triggers a new deployment on Vercel. Lovable projects now use Nitro under the hood. Nitro is the universal server toolkit that powers zero-config deployments for TanStack Start and many other frameworks on Vercel, so no manual build configuration is required. Learn more about deploying Lovable apps on Vercel. Read more ## Run multiple frameworks in one project with Vercel Services DevFeed: [Run multiple frameworks in one project with Vercel Services]() Original publisher: [Read original article]() Author: Yury Selivanov Published: 2026-06-30T00:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [Vercel](), [Frameworks](), [Back end](), [Front end](), [Express](), [FastAPI](), [Flask](), [Hono](), [Command-line interface](), [Go](), [Routing (disambiguation)](), [Rust]() Tags: [backend](), [backends](), [cli](), [frameworks](), [frontend](), [go](), [routing](), [rust](), [ui](), [vercel]() ### AI overview Vercel Services lets developers deploy multiple frontend and backend services using different frameworks within one Vercel project. Services share a domain, communicate privately through service bindings, and build, preview, and roll back together. ### Source excerpt You can now deploy multiple frontends and backends together within a single Vercel project. Vercel Services is now available, allowing you to deploy full stack apps with multiple frameworks on a shared domain, where services talk to each other privately and deployments build, preview, and roll back together. Services are defined in vercel.json: From there, your services show up across the dashboard and CLI: The Deployments panel visualizes the services graph The Logs UI filters by individual service vercel dev runs every service locally for a production-like environment Service bindings Services talk to each other internally with the new bindings key, without routing through the public internet: The frontend reaches the backend privately through the URL in BACKEND_INTERNAL_URL: Framework-defined infrastructure Most frameworks run with zero configuration. Framework-defined infrastructure means each service's framework is auto-detected and auto-provisioned, from FastAPI and Flask to Express and Hono, with first-class support for Go and Rust. Services run on Fluid compute with Active CPU pricing, so you only pay for the time your code is actually running. Read the documentation to get started. Read more ## Vercel Flags: Platform-native feature flags DevFeed: [Vercel Flags: Platform-native feature flags]() Original publisher: [Read original article]() Author: Dominik Ferber Published: 2026-06-22T08:00:00Z Content type: article Language: en Sources: [Vercel News]() Topics: [feature flags](), [Vercel](), [SDKs](), [Next.js](), [OpenFeature](), [React](), [Frameworks](), [browser]() Tags: [code](), [feature](), [feature-flags](), [features](), [integration](), [next-js](), [open-source](), [performance](), [platform](), [server](), [vercel]() ### AI overview Vercel Flags is a platform-native feature flagging system for creating targeting rules, progressive rollouts, and production kill switches. It evaluates flags server-side, integrates with frameworks such as Next.js and SvelteKit, and provides an open-source Flags SDK with OpenFeature support. ### Source excerpt At Vercel, feature flags are how we ship. From new features to model updates in v0, and even infrastructure changes like a production database migration where a flag was the cutover. The v0 team alone runs hundreds at any given moment. Merging code sends a build to production, but the feature flags control whether users can see what changed. Flags let you ship on your own schedule, release to segments when you're ready, and roll back immediately by toggling a flag, without touching source files or redeploying. Vercel Flags is platform-native: server-side by default, zero impact on page performance, and directly integrated with the frameworks you already use. What is Vercel Flags Vercel Flags lets you create feature flags, define targeting rules by user attributes, segments, or environment, run progressive rollouts, and flip kill switches if something breaks in production. From your code, you read flags through Flags SDK, an open-source, provider-agnostic library we maintain with first-class adapters for Next.js and SvelteKit. If you are using another framework, you can consume Vercel Flags using the built-in OpenFeature provider. The Vercel Flags dashboard sits alongside your project and deployments, where you can create and manage flags. But what makes Vercel Flags different from other flag services is the framework integration. Why framework-native matters Other flag providers give you a generic SDK to wire through your framework yourself, and a separate dashboard to manage flags in. Vercel Flags is built into the Vercel platform, so you manage flags in the same dashboard as your deployments, and your code reads them through the framework-native Flags SDK. Server-side evaluation When a flag is evaluated on the client, users see a loader, a flicker, or a layout shift. The browser can't render the correct view until the flag value comes back. The Flags SDK evaluates on the server instead. With Next.js React Server Components, you read the flag with await during rend ## Brainstorming with ChatGPT DevFeed: [Brainstorming with ChatGPT]() Original publisher: [Read original article]() Published: 2026-04-10T00:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [ChatGPT](), [Frameworks]() Tags: [chatgpt](), [how-to](), [idea](), [learn](), [openai-academy](), [themes](), [work]() ### AI overview This article explains how to use ChatGPT as a structured thought partner for brainstorming. It covers generating options, organizing ideas into themes, pressure-testing plans, applying constraints, and moving from broad exploration to evaluation and an actionable plan. ### Source excerpt Learn how to use ChatGPT to brainstorm ideas, organize thinking, and turn rough concepts into structured, actionable plans. ## Meet Maestro: How We Manage 21 Laravel Starter Kit Variants Without Losing Our Minds DevFeed: [Meet Maestro: How We Manage 21 Laravel Starter Kit Variants Without Losing Our Minds]() Original publisher: [Read original article]() Author: Wendell Adriel Published: 2026-04-02T13:42:04Z Content type: article Language: en Sources: [Laravel Blog]() Topics: [Laravel](), [Frameworks](), [Maintainers](), [Tooling](), [React](), [Svelte](), [Vue.js](), [Script]() Tags: [article](), [contributors](), [frameworks](), [how-to](), [laravel](), [maintainers](), [react](), [svelte](), [tooling](), [vue]() ### AI overview Maestro is an orchestrator for maintaining Laravel Starter Kits across 8 repositories and 21 variants. It uses layered builds and synchronization to propagate changes consistently across framework, authentication, and feature combinations, while providing contributors with a more manageable workflow. ### Source excerpt Learn how Maestro solves the challenge of maintaining 21 Laravel starter kit variants across 8 repositories, using layered builds, priority-based sync, and a contributor workflow designed to scale. ## How Structure Supports Cross-Functional Collaboration at OLX DevFeed: [How Structure Supports Cross-Functional Collaboration at OLX]() Original publisher: [Read original article]() Author: Sara Mendes Published: 2026-03-18T16:01:03Z Content type: article Language: en Sources: [OLX]() Topics: [Framework](), [Frameworks]() Tags: [collaboration](), [communication](), [innovation](), [learning](), [organization](), [structure](), [teams]() ### AI overview The article explains how OLX uses intentional structure to support cross-functional collaboration across engineering, product, design, analytics, and other roles. It argues that clear roles, visibility, effective communication, checkpoints, and accountability help teams coordinate work and develop ideas. ### Source excerpt Our Work Organization Framework Journey Photo by Daniel Watson @pexelsWhat Makes Cross-functional Collaboration Actually Work? In today's cross-functional environments, the most impactful initiatives rarely live within the boundaries of a single team or person. Whether we're building new product features, improving infrastructure, or tackling technical debt, success depends on seamless collaboration across multiple teams and roles, including engineering, product, design, analytics, and beyond. Think about when you're making a big dinner for friends. You might be the main cook, but you need someone to run to the store for ingredients that you forgot, maybe your roommate to chop vegetables, someone to keep track of the timing so nothing burns, and someone to set the table. When everyone knows their role and does their work at the right time, you end up with a perfect meal. The magic happens when everyone's working in sync. But I get that when someone mentions 'frameworks' or 'structure,' our eyes might glaze over, thinking about red tape and endless meetings. But here's the thing: good structure isn't about slowing you down, it's actually what lets a group of people create something amazing together that none of us could pull off on our own. At OLX, we see structure as: A clear path from "Hey, I have this crazy idea" to "Holy cow, we actually built it." Everyone knowing their role, so you're not wondering if that task is yours or why three people are doing the same thing. Being able to see what's happening without chasing down updates or playing detective. Communication that actually works, meaning no more "I thought you told Sarah, but Sarah thought you told Mike." Real checkpoints where we can high-five our wins and course-correct when needed. Any intentional structure is better than no structure at all. From a human psychology and team dynamics perspective, here's why structure matters: Clarity reduces anxiety: when people know what we expect of them, they work wit ## Introducing the Adoption news channel DevFeed: [Introducing the Adoption news channel]() Original publisher: [Read original article]() Published: 2026-03-05T00:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [Artificial Intelligence](), [OpenAI](), [systems](), [Frameworks]() Tags: [ai](), [ai-adoption](), [ai-at-work](), [blog](), [business](), [enterprise](), [insights](), [news](), [work](), [workflows]() ### AI overview OpenAI introduces the Adoption channel, a business blog focused on the practical realities of enterprise AI adoption. It will examine how organizations scale adoption, build trust, redesign work, govern AI-enabled operations, and convert AI capabilities into business value. ### Source excerpt Practical insights and frameworks to turn AI progress into business advantage ## What's new in Svelte: March 2026 DevFeed: [What's new in Svelte: March 2026]() Original publisher: [Read original article]() Author: Dani Sandoval Published: 2026-03-01T00:00:00Z Content type: release Language: en Sources: [Svelte blog]() Topics: [Svelte](), [reactive](), [Frameworks](), [Netlify](), [Vite]() Tags: [bug](), [frameworks](), [netlify](), [performance](), [reactive](), [releases](), [svelte]() ### AI overview Svelte's March 2026 update covers new features and fixes in Svelte, SvelteKit, and the Svelte CLI. Highlights include TrustedHTML support, server-side error boundaries, improved navigation scroll information, Vite 8 support, Netlify adapter changes, configurable redirects, and a new official better-auth addon. ### Source excerpt This month, we got a ton of new features across Svelte, SvelteKit and even the Svelte CLI. Plus, the State of JS 2025 is out and Svelte continues to hold the top spot among reactive frameworks in terms of positive sentiment. So, without further ado, let's dive in! What's new in Svelte createContext can now be used when instantiating components programmatically (svelte@5.50.0, Docs, #17575) {@html} expressions now support TrustedHTML (svelte@5.52.0, #17701) Comments are now allowed in HTML tags (svelte@5.53.0/svelte-language-server@0.17.28, #17671) Error boundaries now work on the server (svelte@5.53.0, Docs, #17672) For a full list of changes - including all the important bugfixes that went into the releases this month - check out the Svelte compiler's CHANGELOG What's new in SvelteKit hydratable's injected script now works with CSP (kit@2.51.0, #15048) Navigation callbacks (beforeNavigate, onNavigate, and afterNavigate) now include scroll position information via the scroll property on from and to targets. This enables use cases like animating transitions based on the target scroll position when using browser back/forward navigation (kit@2.51.0, Docs, #15248) Vite 8 is now supported (kit@2.53.0, #15024) The match function can map a path back to a route id and params (kit@2.52.0, Docs, #14997) Breaking (Netlify Adapter): platform.context now uses modern Netlify Functions - previously this was the AWS Lambda-style context. If you were using this in your app (unlikely), you will need to update your code to read from new fields. (adapter-netlify@6.0.0, More details, Docs, #15203) redirects can now be configured in netlify.toml - removing the limitation of only being able to configure redirects via the _redirects file (adapter-netlify@6.0.0, #15203) better-auth is now an official addon in the Svelte CLI (sv@0.12.0, #898) Looking for more details on the many bug fixes and performance optimizations from this month? Check out the SvelteKit / Adapter CHANGELOGs. Community S ## Why Developers Should Prioritize Fundamentals Over Frameworks DevFeed: [Why Developers Should Prioritize Fundamentals Over Frameworks]() Original publisher: [Read original article]() Author: Dr Milan Milanović Published: 2026-02-12T16:02:12Z Content type: opinion Language: en Sources: [Tech World With Milan Newsletter]() Topics: [Frameworks](), [Learning](), [Programming](), [Vibe coding]() Tags: [ai](), [ai-tools](), [frameworks](), [fundamentals](), [learning](), [programming]() ### AI overview The article argues that developers should spend more time learning durable fundamentals than chasing fast-changing frameworks. It discusses framework lifecycles, programming principles, AI-generated code, debugging, architectural trade-offs, and an 80/20 learning approach. ### Source excerpt Frameworks have a half-life of 3 years. The fundamentals behind them? Decades. Here's how to spend your learning time wisely. ## Everything you need to know about ITIL 5, AI and incident management DevFeed: [Everything you need to know about ITIL 5, AI and incident management]() Original publisher: [Read original article]() Author: Chris Evans Published: 2026-02-01T17:09:00Z Content type: article Language: en Sources: [The incident.io Blog]() Topics: [ai-governance](), [incident management](), [incident](), [AI Agent](), [Frameworks](), [audit trail](), [Automation]() Tags: [ai](), [ai-agent](), [audit-trail](), [automation](), [compliance](), [framework](), [governance](), [incident](), [incident-channel](), [incident-management](), [incident-response](), [operational](), [outage](), [post-mortem](), [regulatory](), [slack-incident]() ### AI overview This article explains how ITIL 5 updates incident management guidance for organizations using AI. It focuses on a new AI Governance extension module covering responsible adoption, risk management, transparency, accountability, and regulatory compliance, including governance questions around AI-suggested remediation, generated incident summaries, automated actions, and audit trails. ### Source excerpt We break down ITIL 5's governance framework and what it means for teams using AI in incident response. For incident management, it addresses questions like: Who's accountable when an AI-suggested remediation backfires? How do you audit AI-generated updates? ## Unlocking Agentic RL Training for GPT-OSS: A Practical Retrospective DevFeed: [Unlocking Agentic RL Training for GPT-OSS: A Practical Retrospective]() Original publisher: [Read original article]() Author: Jason Zhu; Hejian Sang; Arup De; Rohit Jain; Yanning Chen Published: 2026-01-27T01:53:15Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [Artificial Intelligence](), [gpt-oss](), [Reinforcement learning](), [agentic-coding](), [Retool](), [Frameworks](), [qwen](), [coding](), [hugging face]() Tags: [agentic](), [agentic-coding](), [agents](), [ai](), [applications](), [blog](), [code](), [coding](), [company](), [fine-tuning](), [gpt-oss](), [hugging-face](), [linkedin](), [models](), [open-source](), [qwen](), [reasoning](), [reinforcement-learning](), [rl](), [training]() ### AI overview LinkedIn's retrospective describes experiments to train GPT-OSS models for agentic reinforcement learning. It covers tool interaction, Harmony chat-template support, rollout and tool parsing, ReTool coding tasks, attention-sink fixes, and benchmark results using GPT-OSS-20B, GPT-OSS-120B, and Qwen-2.5-32B. ### Source excerpt LinkedIn is an AI-first company that's built agents to help professionals be more successful. In this setting, models must reason over incomplete information, interact with structured services, and adapt to evolving user intent across multiple steps rather than produce a single static response. ## Writing Clean Code with Laravel: The Artisan of the Day Is Jamie Peters. DevFeed: [Writing Clean Code with Laravel: The Artisan of the Day Is Jamie Peters.]() Original publisher: [Read original article]() Author: Ana Tavares Published: 2025-12-05T17:56:30Z Content type: article Language: en Sources: [Laravel Blog]() Topics: [Laravel](), [coding](), [Code](), [PHP](), [Frameworks]() Tags: [career](), [code](), [coding](), [developer](), [development](), [framework](), [hobby](), [laravel](), [php](), [uk](), [writing-code]() ### AI overview Jamie Peters describes how discovering Laravel in 2018 transformed his approach to architecture, clarity, maintainability, and clean code. He now develops with Laravel at Jump24 in the United Kingdom and views the work as a rewarding craft. ### Source excerpt Jamie Peters shares how discovering Laravel in 2018 transformed his career, sharpened his coding practices, and led him to his role at Jump24 in the UK. ## 5 shifts redefining design systems in the AI era DevFeed: [5 shifts redefining design systems in the AI era]() Original publisher: [Read original article]() Author: Emma Webster Published: 2025-11-19T00:00:00Z Content type: article Language: en Sources: [Figma Blog]() Topics: [Artificial Intelligence](), [Frameworks](), [Figma]() Tags: [ai](), [design](), [design-systems](), [figma](), [generate](), [product-development](), [standards]() ### AI overview The article describes five shifts in design systems as AI changes product development. It argues that design systems are becoming living frameworks that encode a team's taste, standards, craft, and creative identity, helping AI accelerate execution without sacrificing consistency, quality, or distinctive product experiences. ### Source excerpt As AI reshapes how we make products, design systems are evolving from libraries of reusable parts into living frameworks that scale taste and craft. We spoke with product leaders and practitioners about the shifts they're seeing in how design systems are built, used, and maintained. ## Laravel Developer-Turned-Educator. The Artisan of the Day Is Pete Heslop. DevFeed: [Laravel Developer-Turned-Educator. The Artisan of the Day Is Pete Heslop.]() Original publisher: [Read original article]() Author: Ana Tavares Published: 2025-11-18T19:00:05Z Content type: article Language: en Sources: [Laravel Blog]() Topics: [Laravel](), [Frameworks](), [Nova](), [Cloud]() Tags: [blog](), [blog-post](), [developer](), [developers](), [ecosystem](), [laravel](), [writing]() ### AI overview Pete Heslop discusses his transition from Laravel developer and agency founder to educator and author of Laravel for the Rest of Us. The article describes how the book grew from a glossary for non-technical readers into an overview of Laravel and its wider ecosystem. ### Source excerpt Pete Heslop shares how "Laravel for the Rest of Us" was created, why non-technical teams need shared language, and how his agency built a decade on Laravel. ## How to build AI agents with MCP: 12 framework comparison (2025) DevFeed: [How to build AI agents with MCP: 12 framework comparison (2025)]() Original publisher: [Read original article]() Author: Al Brown; Mark Needham Published: 2025-10-13T00:00:00Z Content type: article Language: en Sources: [ClickHouse Blog]() Topics: [Model Context Protocol (MCP)](), [AI Agent](), [Frameworks](), [SDKs](), [LangChain](), [Claude](), [OpenAI](), [DSPy](), [Security](), [Databases]() Tags: [ai-agents](), [authorization](), [claude](), [comparison](), [frameworks](), [how-to](), [langchain](), [mcp](), [model-context-protocol](), [openai](), [sdk](), [security]() ### AI overview This article compares 12 major agent SDKs and frameworks that support Model Context Protocol (MCP), describing their different strengths and including code for connecting each one to an MCP Server. It also explains MCP as a standardized way for applications and large language models to interact with tools and resources, and discusses the operational requirements of remote MCP servers, including authentication, rate limiting, multi-tenancy, and authorization. ### Source excerpt Compare 12 AI agent frameworks with MCP support. Complete guide with code examples for Claude SDK, OpenAI Agents, LangChain, and more. Build production-ready AI agents with Model Context Protocol. [Next page]()