Yieldpoint

Status and limits

Alpha. The engine, CLI, hook, MCP server, LangGraph adapter, diff/CI path and repository audit all work and are covered by the test suite. Read this before adopting.

Python only

TypeScript and Java are designed but not built. Other languages are never silently passed — a change nothing could analyse returns unverified and exits 3. If your agent writes TypeScript, this will tell you honestly that it checked nothing, which is useful but is not the product you want yet.

Where it is weak

What is not claimed

That your agent converges in fewer total model calls. That the prescription costs zero model calls is a property of the architecture and holds. That repair loops therefore converge faster against a real model has not been benchmarked, and is not claimed.

No performance figure appears anywhere in this project without a runnable benchmark behind it.

Why not a tool that already exists

You already haveDoes it catch an agent weakening a test?
CoverageNo — and worse than neutral. Delete an assertion and coverage is unchanged; delete a failing test and it goes up.
LintersNo. assert x == 42 and assert x are both clean code. Nothing in a linter reads the previous version of the file.
Mutation testingYes, in principle — it is the rigorous answer. It also needs minutes to hours, so it cannot sit between generate and apply. Use both, at different points.
Code reviewSometimes. Not reliably, in a forty-file agent diff, on the fourth one that day.
LLM-as-judgeSometimes, at one model call per round and a verdict that changes between runs. You cannot gate a pipeline on a judge that flakes.

Every one of those evaluates code as it now stands. "The agent cheated" is a statement about what was taken away, and only a diff-native check can express it.