Josh Joy

The semantic layer for agents is the part that actually matters here. I've spent too much time watching Claude Code hallucinate database schema because it's guessing from a README. If the backend can expose its own structure in a way agents can reason about, that changes how reliable agentic dev actually gets. Going to try the npx install today

"Vibe-automate" is a fun framing but I want to understand the actual reliability story here. Workflow automation tools always look great in demos and then break the moment an API changes or a field is missing.

I like that this seems to focus more on understanding what is happening on the system rather than just offering a one-click cleanup. In my experience, the problem is rarely just “free up space,” it is figuring out what can be safely removed without breaking something later.

The underlying idea here is not new if you have used cron jobs or similar schedulers, but applying it directly to an AI agent changes the experience quite a bit. Instead of running scripts, you are essentially scheduling intent, which is both powerful and slightly unpredictable depending on how the agent behaves over time.