AI-Powered Issue Triage: From Chaos to Clarity in Seconds
summary
An open‑source triage pipeline that runs inside GitHub Actions takes a Repomix snapshot of the repo, calls Gemini 2.0 Flash, and returns structured reports with root cause, type/severity, confidence and concrete file+line change suggestions. It detects duplicates semantically, blocks prompt‑injection via masking and a PI scanner, and reduces what maintainers report as ~40% triage time to seconds per issue. Demo on Ansible repos shows working end‑to‑end output; typical Gemini token usage ranges ~50k–200k per analysis (roughly $1–$5 weekly at current run rates).
AI-written summary · about
chapters (7)
- 0:00AI issue triage introduction
- 2:44What is AI issue triage
- 4:51Tools and packages used
- 6:39Workflow architecture
- 11:12Live demo of AI triage
- 14:22Future plans
- 15:25Q&A
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