Your engineering tools already record most of what your team does — commits, pull requests, issues, tickets. The problem is turning all that into answers: which work is complex, where bugs come from, and whether AI-assisted coding is actually paying off. That is the gap Tetriz Engg Intelligence + Connectors wants to fill, and it just launched on Product Hunt.
What Tetriz Engg Intelligence + Connectors Does
Tetriz is an open-source engineering intelligence platform that connects coding sessions to delivery. It plugs into GitHub, Jira, and seven more tools, then maps the work developers actually do to pull requests, issues, code quality, and business ROI.
The platform claims it can surface work complexity, flag the likely sources of bugs, and let teams compare AI-assisted work against the rest — quality factored in. The pitch: stop measuring engineering output by vibes and start measuring it against delivery and quality data.
Who It Is For
This is aimed squarely at engineering leaders, CTOs, and team leads at companies that have adopted AI coding assistants and now need to answer the ROI question. If your team is running on GitHub and Jira, the connectors make setup a matter of linking your existing tools rather than changing workflows.
It launched on Product Hunt today under the Developer Tools, Artificial Intelligence, and Open Source tags. The maker lists it as free at launch, with the codebase open at github.com/tetriz-ai/tetriz-engineering-intelligence.
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Source: Product Hunt — read the full story there.
