Hey Product Hunt, Your engineering tools record a lot of what happens. Understanding why work takes longer, where bugs come from, or whether AI is helping still takes a lot of digging. You end up piecing together PRs, issues, reviews, and coding sessions to answer questions about your own team. We’re open-sourcing 2 repos to make that easier: Tetriz Connectors brings in engineering data from GitHub, Jira, and 7 more tools. It handles the collection layer that engineering analysis depends on. Tetriz Engineering Intelligence uses that data to understand what your team delivers: work type and complexity relative to your repo, changes that likely introduced bugs, and work moving across branches without counting it twice. It also helps assess where your team gets stuck across the AI development lifecycle. Connecting coding sessions adds another layer. You can trace sessions to the PRs they helped produce and the issues those PRs delivered, with evidence for each match. That lets you compare AI-assisted work with the rest and factor quality into ROI. Our earlier releases helped teams understand sessions (https://www.producthunt.com/prod...) and improve agent setup (https://www.producthunt.com/prod... ). These help you see whether those improvements carry through to delivery, and decide where to focus next. Both repos are MIT-licensed. You can inspect the code, examine how the measurements work, and build on them. What engineering question would you want to answer first with your own data? Engineering Intelligence :https://github.com/tetriz-ai/tet... Connectors : https://github.com/tetriz-ai/tet...

Tetriz Engg Intelligence + Connectors

Connect coding sessions to PRs, issues, quality, and ROI

Connect coding sessions to PRs, issues, quality, and ROI