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Groundtruth – checks your AI coding agent's claims against the Git diff

3 pointsby 2mo agogithub.com
4 comments
2mo agoHN ↗

From https://github.com/akahkhanna/groundtruth :

Groundtruth — a Claude Code plugin that audits whether an agent actually did what it was asked; catches the false 'Done' on Stop (missed subtasks, stubs, false 'tests pass', overridden rules).

Which other agent IDEs does or could this work with?

2mo agoHN ↗

Is this also where to attach provenance metadata and sign the agent trace, and debug?

Re: MCPSnoop, proxies like Aegis and LiteLLM, and awesome-auditable-ai: https://news.ycombinator.com/item?id=48777144#48779413

There are web standards for signing metadata with interoperable schema as linked data:

W3C JSON-LD/YAML-LD + W3C PROV + W3C DID + W3C VC Verifiable Claims

2mo agoHN ↗

"Follow up to verify that the work was actually satisfactorily completed"

Are there other sound management practices that aren't yet effectively implemented in current gen agents?

2mo agoHN ↗

I've had some success with using a more expensive model to plan a decent work breakdown structure in a document and then a low-cost model to implement the plan and keep following-up, but wonder about subsequent need for code review and code quality.

Can a lower-cost model verify completion? Iff tests and test coverage and e2e tests?

The same oracle / model routing and partitioning problem