{"repo":"YanpengQi7/ai-reliability-copilot","free":true,"listed":false,"github":"https://github.com/YanpengQi7/ai-reliability-copilot","clone":"git clone https://github.com/YanpengQi7/ai-reliability-copilot.git","description":"Turn a production incident into a structured 9-section LLM response (severity, root cause, mitigation, postmortem). Ships with a 5-scenario regression suite + LLM-as-judge eval pipeline.","language":"TypeScript","stars":84,"topics":["ai-sdk","incident-response","nextjs","postgres","rag","sre","supabase","typescript","deepseek","llm-evaluation"],"license":null,"category":"ai-agents","readme_excerpt":"AI Reliability Copilot Turn incident chaos into a structured 9-section response in seconds. Paste a production incident — logs, metrics, on-call notes. The copilot streams back a structured analysis: severity, ranked root-cause hypotheses with evidence, a copy-pasteable investigation checklist, a mitigation plan with rollback steps, customer-facing impact, postmortem skeleton, and prioritized follow-ups. But the real story isn't the prompt. It's the eval pipeline — a 5-dimension rubric, a 5-scenario regression suite, and an LLM-as-judge that scores every change, so prompt iteration is measured instead of vibes-based. Live demo: ai-reliability-copilot.vercel.app 📖 Usage guide (中文): USAGE.md — how to actually use it, end-to-end Methodology deep-dive: EVALUATION.md --- Architecture - Next.js 16 App Router, RSC for read-heavy pages (incident list/detail, evals dashboard); client components only where needed (streaming form, copy buttons) - AI SDK with streamObject + Zod schema for guaranteed structured output - DeepSeek for both analyzer and judge (provider-swappable in one file) - Supabase Postgres for persistence; service-role client server-side only - Vercel auto-deploys on push to main The 9-section output schema Enforced by Zod ( src/lib/schema.ts ): 1. Summary + severity badge with quantitative reasoning 2. Severity (SEV1/2/3) — apply rubric strictly 3. Root cause hypotheses (3–5, ranked by likelihood with cited evidence) 4. Investigation checklist (copy-pasteable commands","default_branch":null,"files":null,"tree":[],"storefront":"/r/YanpengQi7","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/YanpengQi7/ai-reliability-copilot/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}