Brokk brings compiler-grade static analysis to AI coding. Built for massive codebases, it delivers deep context and type inference where LLMs need it most.

Working with Claude Code introduces a new dev workflow: write a spec, spin up agentic bots, and return to multiple AI-coded implementations. Here's how to make it work.

Lovable 2.0 lets you build apps by chatting with an AI. What does this mean for developers?

Discover how lightweight standards—plus the Vibe Rules CLI—can slash the chaos and give your team one source of truth.

In April 2025, Windsurf (formerly Codeium) rolled out significant pricing updates that made waves in the developer community.

As AI reshapes software development, we must scale our tools, context, and thinking to thrive as true AI Native Developers.

JetBrains launches Junie, an "agentic AI" assistant built into its IDEs, promising more autonomous coding and hinting at the future of development workflows.

Codex blends ChatGPT and other models (you read that right) with hands-on capabilities like code execution, file manipulation, and project iteration.

The first speakers for AI Native DevCon 2025 are live! 🚀 Join us virtually on May 13 to explore how top devs are using AI to write, refactor, and ship faster. No fluff—just real tools, insights, and innovation.

Benchmarks are up, but so is developer frustration—model sprawl, version confusion, and prompt chaos are sparking a shift toward smarter abstraction.

Microsoft’s latest move signals a shift in the AI IDE landscape. As tools like Cursor surge, developers face critical questions about platform control, extension limits, and the future of building on VS Code.

MCP's rapid rise just met its biggest twist yet — Google enters the ring with A2A, and the ecosystem's never looked more split. What’s hype, what’s real, and what’s next?

GitHub Copilot is fighting back with powerful new features like Agent Mode, custom prompt management, and integration tools—aiming to reclaim its edge in the enterprise AI coding space.

AI is transforming unstructured content—docs, chats, tickets—into real-time knowledge that accelerates learning and improves code. The future of dev work is building systems that learn with us.

AI handles the code—now it's your turn to explore. Discover how devs can shift from delivery to discovery and build what really matters.

Is "vibe coding" revolution or regression? Explore how software dev is becoming as personal and instant as snapping a Polaroid.

From low-level instructions to high-level intent, the future of development is shifting—natural language, shared prompt libraries, and executable specs are redefining how we build software.

AI writes the code. You call the shots. Discover how devs are becoming reviewers, architects, and decision-makers in the age of AI.

Vercel's v0 now supports third-party integrations via its new Marketplace, letting developers spin up full-stack apps—complete with backend services—directly from AI prompts. This marks a major leap in the shift toward AI-native development.

AI system prompts are the hidden blueprints shaping developer tools—but when companies keep them secret, are they limiting innovation? Transparency might just be the key to unlocking AI’s full potential.

Help shape the future of AI-powered development! Take the AI Native Dev Survey 2025 to share your insights and get exclusive access to the upcoming industry report.

AI is transforming software development, shifting roles from coding to managing, intent-setting, rapid prototyping, and knowledge-sharing. In this blog, Patrick Debois explores the four emerging AI Native Dev patterns and how to stay ahead in this evolving landscape.

GPT-4.5 vs o3-mini: Which model is best for AI-native development? Tessl’s AI Engineering team put them to the test—here’s what we found.

It’s happening! AI Native DevCon Spring 2025 is officially on, and we’re opening up the Call for Proposals (CFP) today!

AI Native Dev is the new hub for AI development tools and practices. Join us and be a part of the AI Native Dev revolution!

AI-powered products seem to come in different flavors. Some are big and dramatic, talking about reimagining the world and a bold new future.

Each time such a technology is introduced, the easiest way to adopt it is to optimize steps within existing processes.

If you’ve ever found yourself pleading with an LLM to adhere to a constraint — using all caps, repeating lines n times, using words like “seriously” and “please” then you’re guilty of begging which is a bit of a smell.