Entire Trails Run Custom Reviews on Every Push
Entire’s Trails attach agent sessions, checkpoints, custom review scores, findings, CI, and approvals to every code change. This guide shows how to enable presets like Slop Cop and build domain-specific agents for risks such as unsafe database migrations. [Source](https://entire.com/blog/how-to-run-custom-ai-code-evals-on-every-push-with-trails)
Trails make code review programmable for an agent-heavy workflow, but green scores should support human judgment—not quietly replace it.
- –Preserving intent and agent-session context gives reviewers more than a final diff.
- –Custom evaluators can encode repository-specific risks that generic review bots miss.
- –Re-running agents until scores stabilize creates a useful feedback loop for autonomous coding.
- –Numerical scores require calibration against false positives, false negatives, and escaped defects.
- –Mirrored GitHub repositories still need separate GitHub approvals, while cloud sandboxes introduce additional privacy and trust considerations. [Analysis](https://www.lucabytheway.com/entire-git-forge-trails/)
DISCOVERED
1h ago
2026-11-03
PUBLISHED
1h ago
2026-11-03
RELEVANCE
AUTHOR
GoEntire