# Frameworks Published articles for Frameworks. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## 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." ## Update: August Next.js Security Release DevFeed: [Update: August Next.js Security Release]() Original publisher: [Read original article]() Author: Sebastian Silbermann Published: 2026-08-25T15:00:00Z Content type: news Language: en Sources: [Next.js Blog]() Topics: [Vulnerabilities]() Tags: [bug-bounty](), [frameworks](), [next-js](), [open-source](), [release](), [security](), [update](), [vercel](), [vulnerabilities](), [vulnerability-management]() ### AI overview Next.js is advancing its August security release to address two critical vulnerabilities in a single update and recommends that users upgrade when patched versions are available. ### Source excerpt Next.js is moving the August security release forward to August 25, 2026. ## Bun 1.4 is now available in Vercel Functions DevFeed: [Bun 1.4 is now available in Vercel Functions]() Original publisher: [Read original article]() Author: Tom Lienard Published: 2026-08-20T00:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [Bun](), [Vercel](), [Rust](), [Node.js](), [WebSocket](), [Zig](), [Hono](), [Next.js]() Tags: [2](), [bun](), [compatibility](), [compute](), [cpu](), [features](), [frameworks](), [next-js](), [node](), [node-js](), [performance](), [release](), [rust](), [support](), [update](), [vercel](), [zig]() ### AI overview Vercel Functions now support Bun 1.4, which rewrites Bun from Zig to Rust and includes resolved issues, additional Node.js compatibility tests, new features, and performance improvements. Bun runs on Fluid compute, supports Active CPU pricing and WebSockets, and works with frameworks including Next.js and Hono. Upgrading is an explicit opt-in because of breaking changes. ### Source excerpt Vercel Functions now support the new Bun 1.4 release, a rewrite of Bun from Zig to Rust, with over 2,900 issues resolved, more than 1,500 additional Node.js compatibility tests passing, and new features and performance improvements. Bun on Vercel Functions: Runs on Fluid compute with Active CPU pricing Supports WebSockets and Bun.serve() Supports common frameworks such as Next.js, Elysia, and Hono To update from the previous Bun version, set bunVersion to 1.4.x in vercel.json. Upgrading is an explicit opt-in because Bun 1.4 has several breaking changes. Review the breaking changes and update your application before upgrading. Learn more about using Bun on Vercel in the runtime documentation. Read more ## How Mobile App Security from Guardsquare Addresses Gaps in Framework Compliance DevFeed: [How Mobile App Security from Guardsquare Addresses Gaps in Framework Compliance]() Original publisher: [Read original article]() Author: Guest post by Dr. Edward Amoroso, CEO, TAG Infosphere Inc. and former AT&T Chief Security Officer Published: 2026-08-11T14:00:31Z Content type: opinion Language: en Sources: [Guardsquare Blog]() Topics: [Mobile Security](), [Application Security](), [Security](), [Cybersecurity](), [Artificial Intelligence]() Tags: [application-security](), [compliance](), [credentials](), [cybersecurity](), [frameworks](), [governance](), [hardening](), [mobile](), [protection](), [regulatory](), [report](), [security](), [standards]() ### AI overview A featured guest post examines how mobile application security, including Guardsquare's hardening, runtime protection, and anti-tampering capabilities, can help enterprises address gaps in compliance frameworks. It also argues that frameworks such as NIST CSF 2.0 should more explicitly account for mobile app risk. ### Source excerpt Former AT&T Chief Security Officer and TAG Infosphere founder Dr. Edward Amoroso shares his perspective on the state of mobile application security in a featured guest post for Guardsquare. Enterprise compliance is evolving as organizations face mounting regulatory pressure and more capable threat actors. Regulators now expect alignment to frameworks such as National Institute of Standards and Technology Cybersecurity Framework (CSF) 2.0 and sector-specific mandates. Yet, while governance has matured around cloud, endpoint, and networks, mobile app risk remains underrepresented in compliance frameworks and control processes. ## 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 ## Agile Leadership DevFeed: [Agile Leadership]() Original publisher: [Read original article]() Author: Dave Ogle Published: 2026-08-10T00:00:00Z Content type: opinion Language: en Sources: [Scott Logic]() Topics: [Agile](), [Self-organizing Team](), [trust](), [Development]() Tags: [agile](), [delegation](), [delivery](), [frameworks](), [leadership](), [self-organizing-teams](), [software-development](), [teams](), [trust]() ### AI overview This opinion argues that organisational agility depends on leadership as well as agile frameworks and processes. It highlights empowerment, trust and delegation, and examines Agile2 and the British Army's Mission Command philosophy as relevant perspectives. ### Source excerpt Agile teams are built on more than frameworks and processes. This article explores why effective leadership, trust and delegation are fundamental to true organisational agility, drawing lessons from the British Army's Mission Command philosophy. ## 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. ## Starlette vs FastAPI: what FastAPI actually adds DevFeed: [Starlette vs FastAPI: what FastAPI actually adds]() Original publisher: [Read original article]() Author: Farhan Hasin Chowdhury Published: 2026-07-20T07:00:00Z Content type: comparison Language: en Sources: [Honeybadger]() Topics: [FastAPI](), [Pydantic](), [ASGI](), [OpenAPI Specification](), [Dependency injection](), [Python](), [WebSocket](), [Cross-origin resource sharing (CORS)]() Tags: [cors](), [data-validation](), [dependency-injection](), [fastapi](), [frameworks](), [openapi](), [python](), [python-articles](), [starlette](), [websocket]() ### AI overview This comparison explains how FastAPI builds on Starlette and Pydantic. Starlette provides the ASGI-based HTTP layer, while Pydantic handles typed data validation; FastAPI adds type-driven parameter parsing, dependency injection, and automatic OpenAPI documentation. It also discusses when using raw Starlette may be preferable. ### Source excerpt FastAPI is built on Starlette, but most developers never look at what's underneath. Learn what FastAPI actually adds on top of Starlette and Pydantic, what comes straight from Starlette, and when dropping down to raw Starlette makes more sense than pulling in the full stack. ## Agent interoperability: a complete explainer DevFeed: [Agent interoperability: a complete explainer]() Original publisher: [Read original article]() Author: Jeff Mills Published: 2026-07-14T00:00:00Z Content type: article Language: en Sources: [Redis Blog]() Topics: [AI Bots]() Tags: [agent](), [agents](), [ai](), [ai-agent](), [frameworks](), [integration](), [interoperability](), [tech-de](), [tools]() ### AI overview An explainer on enabling AI agents built with different frameworks to discover one another, share context, and delegate tasks without custom integrations. It outlines integration sprawl, duplicated work, brittle wiring, and fragmented context as consequences of poor interoperability. ### Source excerpt You built a research AI agent in the LangGraph framework. Another team shipped a customer-service agent in CrewAI. A third team wired up tools through the OpenAI Agents SDK. Now leadership asks: can these things work together? For most teams, the hone... ## 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 ## Meet Kirki: WordPress's First Visual Builder With An Infinite Canvas DevFeed: [Meet Kirki: WordPress's First Visual Builder With An Infinite Canvas]() Original publisher: [Read original article]() Author: hello@smashingmagazine.com (Zareen Tasnim) Published: 2026-07-07T10:00:00Z Content type: comparison Language: en Sources: [Articles on Smashing Magazine -- For Web Designers And Developers]() Topics: [WordPress](), [Canvas](), [No-code](), [Content Management System](), [web design]() Tags: [building](), [design](), [frameworks](), [no-code](), [performance](), [review](), [tools](), [web](), [web-design](), [wordpress](), [workflow]() ### AI overview Kirki is presented as a freeform, no-code visual website builder for WordPress that uses an infinite canvas, an integrated CMS, and built-in features to reduce reliance on third-party plugins. The article reviews and compares it with traditional WordPress builders, focusing on pricing, performance, usability, design flexibility, features, theme compatibility, and layout customization. ### Source excerpt We have been building websites inside boxes for years on WordPress. Let's take a closer look at [Kirki](https://kirki.com/), the first freeform visual builder with an infinite canvas, and explore how it redefines the experience with cleaner performance, full design freedom, and zero plugin dependency. ## 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 ## Helping build shared standards for advanced AI DevFeed: [Helping build shared standards for advanced AI]() Original publisher: [Read original article]() Published: 2026-06-23T13:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [ai observability](), [AI Chat]() Tags: [ai](), [evaluation](), [frameworks](), [frontier-ai](), [global](), [global-affairs](), [government](), [infrastructure](), [linux](), [openai](), [safety](), [security](), [systems]() ### AI overview OpenAI describes its role in founding the Appia Foundation to develop modular specifications that turn standards and frameworks into practical AI assessment criteria. The article argues for rigorous third-party evaluation, capable national institutions, and international coordination for advanced AI safety. ### Source excerpt OpenAI helps build shared standards for advanced AI, supporting evaluation frameworks, safety practices, and global cooperation through the Appia Foundation. ## Works on my machine: how we use AI to reproduce reported bugs DevFeed: [Works on my machine: how we use AI to reproduce reported bugs]() Original publisher: [Read original article]() Author: Neel Shah Published: 2026-06-08T09:00:00Z Content type: article Language: en Sources: [Sentry Blog]() Topics: [Claude](), [SDKs](), [bug](), [Artificial Intelligence](), [Development](), [GitHub](), [Open Source](), [Python](), [Django](), [Boilerplate](), [Concurrency](), [legacy]() Tags: [ai](), [bugs](), [claude](), [concurrency](), [django](), [frameworks](), [github](), [legacy](), [open-source](), [python](), [sdks]() ### AI overview Sentry's SDK teams use a Claude skill to automate parts of reproducing reported bugs, including setting up boilerplate environments and playgrounds with the required parameters. The approach is intended to reduce triage time across the team's large SDK ecosystem. ### Source excerpt How Sentry's SDK team built a Claude skill to auto-reproduce bug reports, reducing triage time across 159 packages. ## Harness, Scaffold, and the AI Agent Terms Worth Getting Right DevFeed: [Harness, Scaffold, and the AI Agent Terms Worth Getting Right]() Original publisher: [Read original article]() Author: Sergio Paniego; Aritra Roy Gosthipaty Published: 2026-05-25T00:00:00Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [AI Agent](), [AI Development](), [Artificial Intelligence](), [Open Source](), [Claude Code](), [codex]() Tags: [agents](), [ai](), [ai-agent](), [artificial-intelligence](), [frameworks](), [guide](), [llms](), [open-source](), [rl]() ### AI overview A practical glossary explaining commonly confused terms in AI agents, including models, harnesses, scaffolding, tools, memory, and context management. It presents a mental model for understanding how an LLM becomes an agent and notes that terminology varies across frameworks. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Granite Embedding Multilingual R2: Open Apache 2.0 Multilingual Embeddings with 32K Context -- Best Sub-100M Retrieval Quality DevFeed: [Granite Embedding Multilingual R2: Open Apache 2.0 Multilingual Embeddings with 32K Context -- Best Sub-100M Retrieval Quality]() Original publisher: [Read original article]() Author: Radu Florian; Parul Awasthy; Aashka Trivedi; Madison Lee Published: 2026-05-14T18:55:01Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [Embeddings](), [Benchmark](), [Retrieval-Augmented Generation](), [AI search](), [LangChain](), [Code]() Tags: [apache](), [benchmark](), [embeddings](), [frameworks](), [langchain](), [llamaindex](), [model](), [retrieval]() ### AI overview Granite Embedding Multilingual R2 introduces two Apache 2.0 multilingual embedding models: a compact 97M-parameter model and a 311M full-size model. They support more than 200 languages, 32K-token contexts, code retrieval across nine programming languages, and integration with popular retrieval frameworks. ### Source excerpt Granite Embedding Multilingual R2: Open Apache 2.0 Multilingual Embeddings with 32K Context -- Best Sub-100M Retrieval Quality TL;DR: Two new Apache 2.0 multilingual embedding models built on ModernBERT -- a 97M-parameter compact model that beats every open sub-100M multilingual embedder on MTEB Multilingual Retrieval (60.3), and a 311M full-size model that scores 65.2 on MTEB Multilingual Retrieval (#2 among open models under 500M parameters) with Matryoshka support. ## Building Blocks for Foundation Model Training and Inference on AWS DevFeed: [Building Blocks for Foundation Model Training and Inference on AWS]() Original publisher: [Read original article]() Author: Keita Watanabe; Pavel Belevich; Aman Shanbhag Published: 2026-05-11T23:18:26Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [foundation-models](), [Amazon Web Services](), [Training AI Models](), [Inference](), [distributed-training](), [cloud-infrastructure](), [Orchestration](), [PyTorch](), [Kubernetes](), [Grafana](), [Prometheus](), [Monitoring]() Tags: [ai](), [aws](), [building](), [distributed-training](), [frameworks](), [grafana](), [hardware](), [inference](), [infrastructure](), [kubernetes](), [latency](), [low-latency](), [model](), [model-development](), [monitoring](), [networking](), [observability](), [open-source](), [prometheus](), [training]() ### AI overview An introductory technical article about the infrastructure and open-source software building blocks required for foundation-model pre-training, post-training, and inference on AWS. It discusses accelerator compute, low-latency networking, distributed storage, orchestration, ML frameworks, and observability tools. ### Source excerpt Figure: Adapted from "AI's Three Scaling Laws, Explained" (NVIDIA Blog). Taken together, these scaling regimes push the foundation-model lifecycle--pre-training, post-training, and inference--toward convergent infrastructure requirements: tightly coupled accelerator compute, a high-bandwidth low-latency network, and a distributed storage backend. ## Vercel Flags is now generally available DevFeed: [Vercel Flags is now generally available]() Original publisher: [Read original article]() Author: Chris Widmaier Published: 2026-04-16T08:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [feature flags](), [Vercel](), [SDKs](), [Next.js](), [OpenFeature](), [backends]() Tags: [feature-flags](), [frameworks](), [next-js](), [platform](), [sdk](), [vercel]() ### AI overview Vercel Flags is now generally available as a feature flag provider built into the Vercel platform. It supports targeting rules, user segments, environment controls, and framework-native use through the Flags SDK in Next.js and SvelteKit applications. An OpenFeature adapter supports other frameworks and custom backends. ### Source excerpt Vercel Flags is now generally available. Vercel Flags is a feature flag provider built into the Vercel platform. Create and manage feature flags with targeting rules, user segments, and environment controls directly in the Vercel Dashboard. The Flags SDK provides a framework-native way to define and use these flags within Next.js and SvelteKit applications, integrating directly with your existing codebase: Once you define a flag, you can use them within your application in a few lines of code: For teams using other frameworks or custom backends, the Vercel Flags adapter supports the OpenFeature standard, allowing you to plug Vercel Flags into their provider agnostic SDK. Try it out or learn more about Vercel Flags. Read more ## 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. ## The best engineers just get shit done, sometimes with AI DevFeed: [The best engineers just get shit done, sometimes with AI]() Original publisher: [Read original article]() Author: hi@swizec.com (Swizec Teller) Published: 2026-03-19T00:00:00Z Content type: opinion Language: en Sources: [Swizec Teller]() Topics: [Artificial Intelligence](), [Code](), [Claude Code](), [agent orchestration]() Tags: [agent-orchestration](), [ai](), [claude-code](), [code](), [frameworks]() ### AI overview This opinion argues that engineers should prioritize shipped features and user outcomes over elaborate AI setups, productivity systems, documentation, and planning. It acknowledges that tools and frameworks can help, but says their value is measured by what they enable users to do. ### Source excerpt The best engineers I know never talk about their AI setup. The worst engineers I know only talk about their AI setup. ## 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. ## Express, Koa, Meteor, and Sails.js: A Practical Node.js Framework Comparison DevFeed: [Express, Koa, Meteor, and Sails.js: A Practical Node.js Framework Comparison]() Original publisher: [Read original article]() Author: Prachi Kothiyal Published: 2026-02-09T05:43:49Z Content type: comparison Language: en Sources: [Backend Archives | Talent500 blog]() Topics: [Express](), [Framework](), [Node.js](), [Koa](), [Meteor](), [Development](), [web applications](), [Scalability]() Tags: [backend](), [choosing-the-right-framework](), [comparison](), [development](), [express](), [express-minimal-and-ubiquitous](), [framework](), [frameworks](), [full-stack-development](), [http](), [javascript](), [js](), [koa-modern-syntax-and-cleaner-async-flow](), [meteor-full-stack-real-time-and-highly-opinionated](), [middleware](), [newsletters](), [node](), [node-js](), [sails-js-mvc-structure-and-real-time-capabilities](), [scalability]() ### AI overview This comparison examines Express, Koa, Meteor, and Sails.js in the Node.js ecosystem, focusing on what each framework does best and how teams might choose among them based on project requirements, team experience, and long-term scalability. It describes Express as minimal and flexible, while Koa emphasizes lightweight design and cleaner asynchronous control flow. ### Source excerpt As JavaScript has expanded from browser-only scripting to full-stack development, Node.js has become a core platform for building modern web [...] The post Express, Koa, Meteor, and Sails.js: A Practical Node.js Framework Comparison appeared first on Talent500 blog. [Next page]()