Your code shows
what changed.
Tribal captures why.
Tribal captures engineering judgment in code review and internal documentation to turn it into reusable context for the next PR.
The knowledge layer for engineering teams
Most teams do not have a docs problem. They have a context decay problem. Tribal fixes it at the source by capturing reasoning during code review and making it reusable long after the PR is closed. Senior engineers should not waste review cycles re-explaining tribal knowledge. Tribal captures it once so reviews stay focused on quality and engineers get back to shipping.
Capture the why in every PR
Tribal asks targeted follow-ups in GitHub so engineers leave behind rationale, trade-offs, and caveats while the change is still fresh.
Tribal Bot
What drove the decision to use idempotency keys instead of database locks?
You
We need to handle retries across distributed services without risking double charges.
Answer questions with real engineering context
Ask Tribal how a system works, why a pattern exists, or what changed. Answers are grounded in code, PR history, and team decisions.
How does the payment flow work?
Based on PR #187, payments use idempotency keys for safe retries across services…
Turn tribal knowledge into team memory
Instead of relying on the one engineer who remembers everything, Tribal builds a living knowledge layer the whole team can query.
Keep docs tied to what actually shipped
Connect Notion and Tribal can push fresh context into docs, flag stale pages, and reduce drift between implementation and explanation.
Code changes trigger automatic doc updates
Make every PR compound team knowledge
Tribal helps engineers explain the decisions behind a change once, then lets the rest of the team reuse that context everywhere.