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Tetriz Engg Intelligence + Connectors
Tetriz Engg Intelligence + Connectors: Go libraries attribute AI coding sessions to pull requests, measure PR complexity, trace defect lineage, and compute ROI.
This repository provides ten Go packages that link AI coding sessions to pull requests and pull requests to issues, score pull requests, trace bug fixes, and measure return on investment. The packages process offline data you supply, such as session logs, pull requests, and tracker issues. Supported inputs include session extractor exports and connector records, while the prworktype package uses a companion Python service running MiniLM and an LLM over HTTP. The engine reads sessions and candidates to return match results or abstentions with reasons. It is designed for engineering teams that need evidence-based metrics on AI tool usage and development lifecycle maturity.
Tetriz Engg Intelligence + Connectors at a glance
Key features
- Link AI coding sessions to pull requests
- Score pull requests from 1.0 to 10.0
- Turn diffs into per-language effective lines of code
- Label pull request type and domain through a rules and LLM cascade
- Trace merged bug fixes back to the introducing changes
- Place organizations on an AI development lifecycle maturity grid
- Measure class-corrected and quality-discounted ROI
- Record branch promotions and link pull requests to tracker issues
Use it for
- Attribute AI coding sessions to specific pull requests
- Measure return on investment for AI-assisted pull requests
- Trace defect lineage to find bug-introducing changes
- Score pull request complexity against recent merged PRs
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