Your Agent Finished the Code, But the Feature Never Got Wired In
Passing tests can make unfinished agent work look complete until QA finds it does not work and the team has to debug, review, and test it again.
Mindrealm: deterministic review for AI-generated code
Field notes from building Mindrealm, an AI code reviewer that catches the slop your agent ships confidently. Posts on why AI agents fail, what it takes to actually trust an agent's output, and my mission to reach zero false positives. For engineers who distrust hype.
Latest articles
Write your reliability rules once. Enforce them in every review.
MindQL lets you define the rules Mindrealm applies.
The bottleneck isn’t writing code anymore. It’s knowing what to trust.
Track what agents generate, what engineers accept, and how often senior engineers have to step in.
When your coding agent repeats a mistake, move the lesson out of chat.
Turn repeated corrections into rules, hooks, skills, and an independent review loop that improves the next session.
A test can pass without proving the required behavior
Weak assertions and mocks that verify wiring, not behavior, can still get merged.
Four questions to ask before you accept code an agent wrote
Passing tests and clean code do not prove the agent finished the job or followed the process correctly.
The agent fixed one hang, then immediately wrote another.
Mindrealm caught the second one too. 19 of the 21 findings in a feature the agents wrote were real.
Goal achieved. My stop hook blocked it anyway.
Claude Code marked the goal achieved and tried to stop. Mindrealm's stop hook wouldn't let it because 17 code review findings were still open.
My AI deleted more than twenty unfinished tasks so it could say it was done
If a completion gate reads a number the agent can change, the agent can pass it by changing the number, and probably will.
