Development

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 WebAssembly Component Model is reaching maturity, and it might finally deliver on the ‘write once, run anywhere’ promise that Java made thirty years ago.

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

Rust’s integration into the Linux kernel has moved beyond proof of concept into real subsystems, but the cultural and technical challenges remain fascinating.

NIST’s post-quantum cryptography standards are finalized, and the migration timeline is no longer theoretical — it’s operational.

As we enter 2026, the JavaScript runtime ecosystem is more competitive and innovative than ever. Here’s where things stand.

Python 3.13’s experimental free-threading mode is here. I’ve been testing it in production workloads — here’s what actually works and what doesn’t.

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.

Python 3.14 arrives with maturing free-threading support and an experimental JIT compiler, signaling a new performance era for the language.

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.