I built a tool that turns raw Git activity into AI summaries

  • Posted 2 days ago by slmslm
  • 1 points
Like many devs, I got tired of bouncing between repos just to answer simple questions like:

What actually changed this week?

Which PRs are stuck?

What did we ship?

Who’s waiting on a review?

It sits on top of your GitHub/GitLab/Bitbucket repos and turns the noise into something readable.

The hardest part by far? Webhooks. Each provider sends totally different payloads:

different keys

different structures

missing fields

inconsistent naming

You end up spending more time normalizing than building features

We solved it by creating an internal unified event schema + a mapper for each provider. All normalized events get stored in MongoDB, which helps a lot because the flexible document model makes it painless to handle slightly different shapes of data without breaking anything.

Once we had that, the features came naturally Real-time commit & PR monitoring

AI agent trained on your repo activity

Automated weekly/monthly summaries (email or Slack)

Leaderboard with contribution scoring

Public changelog pages

Multi-platform support (GitHub/GitLab/Bitbucket)

Basically a unified activity layer for teams that move fast.

Why even build it? Git platforms give you raw data. Teams want context. Devs want fast answers. Managers want summaries, not dashboards.

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