AI

Explore architecture patterns for building agent-based systems, from reasoning loops to tool integration and operational governance.

GitHub Copilot’s agent mode is now generally available, promising autonomous multi-step coding.

Tracking the rapid evolution of AI model capabilities, from in-context learning and extended thinking to reasoning models reshaping development workflows.

With NVIDIA’s GTC 2026 around the corner, here’s what developers and infrastructure teams should be watching for in the next generation of AI compute.

The EU AI Act’s general-purpose AI provisions have been in force for six months.

The AI agent framework landscape has exploded, with LangGraph, CrewAI, AutoGen, and dozens more competing for developer mindshare. Here’s what matters.

Google launches Gemini 2.0 with native multimodal capabilities, and the implications for developers are significant.

GitHub Universe 2025 showed us where coding is headed — and it’s less about typing code than ever before.

AI coding assistants have evolved from glorified autocomplete to genuine development partners, and the implications for how we build software are becoming

Research reveals that top AI coding model scores on SWE-bench may be inflated due to git history leaks, raising fundamental questions about how we evaluate AI

Mistral adds custom MCP connectors and persistent memory to Le Chat, signaling that the Model Context Protocol is becoming the standard glue for AI tool

Google releases Gemma 3 at 270M parameters, proving that smaller, more efficient models might matter more than the next big model launch.