TypeScript catches compile-time errors beautifully—but the moment data hits your API endpoint, all that type safety evaporates. A new open-source library is betting developers will pay for runtime validation in a way the ecosystem hasn't seen before.
Running code through a single AI model feels smart—until it confidently flags something that isn't broken, or misses a real bug hiding in plain sight. One engineer ran both approaches on production code. The difference was striking.
AI agents are 60% more productive when you stop micromanaging them. But letting them run unsupervised on your machine is terrifying—unless you give them a true sandbox.
In early January, GitHub Copilot engineers started talking about a genuine inflection point. Opus 4.5 wasn't just another model update—it was the moment the status quo became uncompetitive.