Comparing AI review tools: what the numbers actually tell you

Using agent-browser for goal-oriented UI exploration, independent assertions for verification, and turning discovered failures into cheaper regression checks.

Moving beyond naive prompt loops: how to build production-grade, verifiable AI agent runtimes using explicit state machines, verification gates, and deterministic replay in TypeScript.

Newly recovered data examined by Search Engine Land offers an unusually detailed view of the systems...

Seven checks that turn an opaque AI agent run into something reviewable: diff first, pinned working directory, isolated workspace, logged commands, scoped credentials, reproducible run, explicit stop reason.

It means giving the agent enough context to do the right thing For this week's Agent Factory...

I saw someone tell this story recently, so I am going by their telling of it. They were in an...

In the collective memory of personal computing, the conversation about Microsoft almost always...

An agent that calls tools has stopped being a text generator, it's an actor. Organizations use agents...

Update — v0.3.1 released. CauterRule is now live on GitHub and PyPI. It turns repeated agent...

I’ve tried out a lot of Claude Code skills, and a few of them are especially useful when you combine...