Development

Multi-agent LLM systems are shifting from experimental chat interfaces to autonomous production systems.

Anthropic released an open-source framework for automated vulnerability discovery powered by AI.

Anthropic’s latest Claude breakthrough lets developers inject task-specific knowledge directly into prompts without fine-tuning, fundamentally shifting how we

AI models can now generate tests, find edge cases, and validate behavior at scale. But blindly using AI for testing creates false confidence.

AI agents are moving from research labs into production systems, fundamentally changing how we architect software for autonomous decision-making and execution.

Platform engineering moves from infrastructure operations to building delightful developer experience. Learn the patterns that work.

Deno 2.3 brings workspace support and improved Node compatibility.

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

Python 3.14’s development is pushing free-threading forward. Here’s what the removal of the GIL means practically, and why it matters more than you might think.

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

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

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.