AI

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. Here’s what’s actually changed for developers and organizations building with foundation models.

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

CES 2026 opens with edge AI and IoT taking center stage, signaling a shift from cloud-first to edge-first architectures.

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 clearer.

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 coding capabilities.

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 integration.

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

OpenAI launches GPT-5 with significant improvements. Here’s what matters for developers beyond the marketing.