Git History Search
Dashboard
Dev Productivity

Find every commit that touched the auth flow, in plain English.

`git log` should not be a grep contest. Ask questions like “which PRs fixed auth bugs?” or “when did we add rate limiting?” and get ranked evidence across commits, pull requests, and issues.

$9/mo per repo • $39/mo for up to 10 repos

What engineers ask in production
Real search prompts that return linked commit evidence
Which PR rolled back strict JWT validation?
Show commits that changed login rate limits in the API gateway.
When did we introduce session refresh retries?
Which issues mention auth timeout regressions after deploy?
Problem
Teams lose hours stitching context from commit logs, stale issue threads, and scattered PR conversations.
Solution
AI semantic search over commit messages, diffs, PRs, and issues with one query and source links.
Outcome
Faster onboarding, shorter incident timelines, and better confidence in when and why behavior changed.
Starter
For solo engineers owning one critical repo

$9/mo

  • 1 indexed repository
  • Commit + PR + issue semantic search
  • Natural-language query interface
Best for platform teams
Team
Cross-repo debugging for staff-level ownership

$39/mo

  • Up to 10 repositories
  • Shared query workflows for onboarding
  • Fast incident context across services

FAQ

Questions teams ask before adopting semantic git history search in production workflows.

What data gets indexed?
Git History Search pulls commit messages plus diff snippets, pull request titles and descriptions, and issue titles/body text. Every result links back to the exact GitHub source.
Can I trust the answer during incident response?
Yes for navigation, not blind automation. The tool gives ranked evidence and direct links so engineers can verify context quickly before making production changes.
How is access controlled?
Stripe checkout grants entitlement. A secure cookie unlocks the dashboard after purchase claim, and GitHub OAuth controls which repositories can be synced.
Who benefits most?
Staff engineers onboarding to legacy codebases, incident commanders tracing regressions, and platform teams reducing mean-time-to-context during debugging.