Reviews, comparisons, and deep-dives into the AI tools shaping how we build.
Microsoft commits to multi-gigawatt Maia 300 deployments, the IMF says AI investment is holding up global growth, and Anthropic replaces git with a version-control system it built with Claude.
Vector databases, LangGraph, MCP, observability, evals, durable execution and six more: where each layer of the production AI stack stands in late 2026, and what to pick.
Anthropic's Fable 5 is the first Mythos-class model made generally available — a frontier agent that works autonomously for longer than anything before it, wrapped in a new kind of safety deployment.
Anthropic's newest Sonnet runs autonomous agents at near-Opus quality for a fraction of the price. When frontier-grade agents get this cheap, the economics of the entire agent stack change.
What started as a provocative term from Andrej Karpathy has become a legitimate development paradigm. Non-technical founders, designers, and operators are shipping production apps — and the tools enabling it have matured faster than anyone expected.
Google's Agentspace brings Gemini-powered AI agents into enterprise workflows via deep Workspace integration — and it's targeting the same productivity layer that Microsoft Copilot has been building toward for two years.
From Claude Code to Cursor, the landscape of AI-assisted development has never been richer — or more confusing. We tested the top contenders so you don't have to.
