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ai-reliability-copilot

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YanpengQi7/ai-reliability-copilot

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.

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TypeScriptCreated May 25, 2026

Trust & integrity

Full report
Maintenance
Active (17d since push)
As of today · Source: github_public_v1
Provenance
Not a fork · Personal account
As of today · Source: github_public_v1
Security (OSV)
No MCP manifest
As of today · Source: mcp_manifest

Public GitHub metadata and optional OSV dependency scans. Signals, not a guarantee. Trust methodology.

Overview

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.

Capability facts

CLI
CLI entrypoint

Source: package.json:bin|scripts · Jul 11, 2026

MCP server
Ships MCP server

Source: package.json:@modelcontextprotocol/* · Jul 11, 2026

Languages
typescript, javascript

Source: github.language+package.json · Jul 11, 2026

Categories

Tags

README

License

MIT


Built in 30 days as a side project to learn AI engineering and evaluation methodology.