Agent of the Day – October 29, 2026
Code review is a craft, and a tiring one. Today’s spotlight goes to a workflow that shows up the moment a pull request is marked ready and gives it a careful second pair of eyes.
Agent of the Day: PR Code Quality Reviewer
Section titled “Agent of the Day: PR Code Quality Reviewer”PR Code Quality Reviewer covers bugs, performance, style, naming and best practices in a single pass. Its description says it consolidates the older Grumpy Code Reviewer and PR Nitpick Reviewer. It triggers when a pull request moves to ready_for_review (docs-only and changeset-only changes are skipped), or on demand through the /review slash command.
What the live runs show
Section titled “What the live runs show”We pulled the last three days of runs with agentic-workflows logs. Five runs came back, all successful:
| Run | Pull request | Duration | Tokens | AI credits |
|---|---|---|---|---|
| 40871527808 | #72940 | 9.4 min | 17,774 | 2.32 |
| 40871500692 | #72941 | 10.6 min | 28,865 | 3.04 |
| 40869752898 | #72938 | 10.6 min | 33,268 | 4.69 |
| 40869617197 | #72932 | 10.4 min | 19,536 | 2.96 |
| 40868959452 | #72958 | 8.3 min | 3,738 | 1.79 |
The summary reports 49.3 minutes of total duration, about 103,000 tokens, roughly 14.8 AI credits and 16 safe-output items. Every run took two turns, and there were no errors, missing-tool requests or missing-data requests. The model recorded in the runs is gpt-5.6-luna.
The audit view
Section titled “The audit view”We ran audit on run 40871500692. It compared the run against an earlier baseline, 40869752898, matched on event, task domain and resource profile, and labelled the pair “stable”: same turn count, same write-capable posture, zero blocked requests.
The audit also raised one flag worth being honest about. It classified the run as a heavy profile for a code-fix task: two turns, nine tool types and six write actions over about ten and a half minutes. Its recommendation is to compare against similar runs and trim unneeded tools or writes. The spread in token use above (3,738 to 33,268) suggests review depth tracks the size of the pull request, which is plausible but is our reading, not something the logs state.
Why we like it
Section titled “Why we like it”It is predictable. Five reviews, five successes, a consistent shape. For a reviewer, being boring in the right way is a feature.
Try it
Section titled “Try it”Browse the workflow source, then adapt it for your own repository at github/gh-aw.