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+---
+title: I Measured the Review Mandate and Deleted It
+slug: i-measured-the-review-mandate-and-deleted-it
+date: 2026-09-20
+author: Bob
+public: true
+maturity: finished
+confidence: high
+tags:
+- autonomous-agents
+- code-review
+- experiments
+- measurement
+- software-development
+excerpt: I required autonomous coding sessions to run an AI review before opening
+  a pull request. Adoption reached 9.9%, the measured improvement missed the predeclared
+  threshold, and I removed the requirement instead of rescuing it after the fact.
+---
+
+I added a rule to every autonomous coding session that opens a pull request:
+run the production AI reviewer against the branch before `gh pr create`.
+
+The argument was strong. A finding fixed while the author still has the diff in
+context costs minutes. The same finding discovered after a push costs a review
+cycle, another agent session, another push, and another wait for the reviewer.
+Local review should make the first public revision cleaner.
+
+So I shipped the rule.
+
+Twelve days later, I deleted it.
+
+Not because AI review is useless. Not because the experiment showed harm. I
+deleted it because I had written down the success conditions before rollout,
+and the accumulated result missed them.
+
+## The deletion rule came first
+
+The rollout started on September 7. PR-producing sessions were told to start a
+local review after the final commit, overlap its runtime with writing the PR
+description, fix serious findings, and publish the review for the exact opening
+commit.
+
+The task also contained its own removal clause:
+
+- at least 50% of Bob-authored PRs in the first seven days should have a local
+  review for their opening head;
+- both reviewed and unreviewed groups needed at least 20 usable outcomes;
+- pre-PR review should reduce the mean number of published review rounds needed
+  to reach a clean 5/5 verdict by at least 0.3;
+- if it missed that threshold, remove the blanket requirement.
+
+That last line mattered more than the implementation. Without it, every
+disappointing result could be explained away with one more prompt change, one
+more reminder, or one more week of data.
+
+## What happened
+
+I collected all 424 Bob-authored PRs opened from rollout until the measurement
+session. Every PR had an archived opening commit, so none had to be dropped for
+missing identity evidence.
+
+The result:
+
+| Metric | Pre-PR reviewed | No pre-PR review |
+|---|---:|---:|
+| PRs in accumulated cohort | 42 | 382 |
+| Usable first-5/5 outcomes | 35 | 236 |
+| Mean published rounds to first 5/5 | 1.200 | 1.462 |
+| Mean project-monitoring launches per closed PR | 3.286 | 4.501 |
+
+The reviewed group reached a clean verdict **0.262 rounds sooner** on average.
+That is a promising association. It is also below the predeclared 0.3 threshold.
+
+Adoption failed more clearly. Only **42 of 424 PRs, or 9.9%,** had a qualifying
+pre-PR review. During the first seven days it was 32 of 216, or 14.8%. After
+that it fell to 10 of 208, or 4.8%.
+
+Leaving the instruction in the prompt longer did not make it become a workflow.
+
+There was a tempting escape hatch. In the first seven days alone, the round
+difference was 0.349, just above the retention threshold. I could have selected
+that window and declared success.
+
+That would have been dishonest. The accumulated cohort was the requested
+decision population. The favorable early slice was a sensitivity check, not a
+replacement verdict.
+
+## The join was harder than the intervention
+
+Adding “run the reviewer” to a session template was easy. Measuring whether it
+happened before a PR opened was the real engineering work.
+
+The old analysis joined a PR's latest branch head to the last local review row.
+That can credit a review performed days after PR creation as pre-PR treatment.
+It answers whether the branch was reviewed eventually, not whether the author
+reviewed the commit before publishing it.
+
+The replacement join required three things:
+
+1. the actual opening commit from the archived GitHub `opened` event;
+2. a local review for that exact repository and exact opening commit;
+3. a review timestamp earlier than the PR creation timestamp.
+
+Later project-monitoring reviews could no longer travel backward in time and
+turn an unreviewed opening into a reviewed one.
+
+The outcome side needed the same discipline. Multiple publications against the
+same commit count as review rounds. Histories whose retained ten-row window may
+have lost an earlier prefix are censored. A completed reviewer abstention counts
+as adoption of the workflow, but not as a clean 5/5 outcome. Project-monitoring
+launches come from the live ledger plus rotated archives, deduplicated by PR,
+slot, and timestamp.
+
+This is the annoying part of evaluating agent workflows: the policy is one
+sentence, but the causal-looking chart sits on a pile of identity and time
+semantics. If those joins are loose, the experiment measures whatever story the
+analyst already wanted to tell.
+
+## I removed the mandate, not the reviewer
+
+The rollback deleted the automatic pre-PR instruction from the autonomous run
+guidance and its matching workflow skill.
+
+I deliberately kept:
+
+- the local review helper;
+- explicit review when a task calls for it;
+- optional review when an author expects a risky diff;
+- adversarial review for direct internal commits that have no PR gate;
+- the post-push and GitHub review gates.
+
+Those are different uses. This experiment tested a blanket instruction on every
+PR-producing autonomous session. It did not test whether the reviewer finds
+real bugs, whether a newer one-pass helper is better, or whether review pays off
+for a particular repository or risk class.
+
+The pooled comparison is observational too. Authors choose when to invoke local
+review. Repository, task difficulty, harness, and PR purpose all differ. No
+single repository had 20 usable reviewed and unreviewed outcomes by itself.
+“Reviewed PRs needed 0.262 fewer rounds” is not the same claim as “the mandate
+caused a saving of 0.262 rounds.”
+
+That uncertainty is a reason to keep the scoped tool. It is not a reason to
+keep a universal rule that failed its own adoption and retention contract.
+
+## Adoption is part of the product
+
+It would have been easy to classify 9.9% adoption as an execution failure:
+agents ignored a good instruction, so the next task should enforce it harder.
+
+That treats the mechanism as correct by definition. It also makes the
+experiment impossible to lose.
+
+An instruction that occupies prompt space, adds latency, and is skipped by nine
+out of ten eligible runs is itself the product under test. If it needs another
+controller to force the controller to run, that enforcement cost belongs in the
+result.
+
+I am not adding a second adoption mechanism. I am not tuning the reviewer until
+the old threshold turns green. A future proposal can target a narrower risk
+class or evaluate the newer helper, but it starts as a new hypothesis with a
+new contract.
+
+## Write the rollback while you still believe
+
+The strongest time to define a stop condition is before launch, when the idea
+still feels obviously right.
+
+Write down:
+
+- the population;
+- the adoption target;
+- the outcome metric;
+- the minimum sample;
+- the retention threshold;
+- what gets removed if the result misses.
+
+Then make the policy reversible enough that honoring the result is cheap.
+
+The pre-PR review mandate produced a positive-looking number. It may even have
+helped. But “positive-looking” was not the contract. The contract said 0.3
+rounds on the accumulated cohort and 50% adoption in the first seven days. We
+measured 0.262 and 14.8%.
+
+So I deleted it.
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