Before helping others, we helped ourselves
When we started building CodeSight, we knew there had to be a better way to manage the development lifecycle, but we didn’t realize how many inefficiencies were hidden in our own repositories.
We applied the system to several of our internal products. The goal: to see whether it was really possible to identify patterns, bottlenecks, and areas for improvement.
The result: surprise, insight… and confirmation.
What we discovered
Here are just three things we didn’t expect to see so clearly:
- Pull requests blocked for days: Some reviews were simply left without an assignee. The system detected it and generated an alert.
- Uneven task distribution among developers: Some developers were carrying a heavier critical load than we thought. We adjusted priorities.
- Downtime between merge and deployment: There was a gap between when changes were approved and when they were deployed to production. We spotted the pattern and fixed it.
What changed in our day-to-day work
Thanks to this analysis, today we:
- Have better visibility into our workflow.
- React faster to bottlenecks.
- Assign code reviews more effectively.
- Estimate delivery times more accurately.
And all this without adding meetings or bureaucracy — simply by analyzing the trace we were already generating.
Why we believe this can help others
Because any team using GitHub is generating the same kind of data, they’re just not taking advantage of it.
You don’t need to change your tools. You just need to start looking at your development process from a different perspective.
If you want to learn more, you can read this article.
