Building IncidentCopilot: Establishing a Local-First AI DevOps Development Foundation

Описание и применение

Милestone 1 IncidentCopilot создал локальную, воспроизводимую инфраструктуру с FastAPI, React, Docker Compose и базовыми тестами, подготовив проект к дальнейшему развитию AI‑интеграции.

Задача

Establish a local‑first, reproducible foundation for an AI‑powered DevOps incident investigation system without relying on cloud or paid APIs.

Результат

Milestone 1 delivers a verified, local‑first development foundation for IncidentCopilot, enabling deterministic evidence processing before AI integration.

Рабочий процесс

• Define monorepo layout with backend/, frontend/, runbooks/, test-data/, evaluation/, docker-compose.yml, .env.example, README.md, Makefile
• Set up FastAPI backend with health and ready endpoints, pydantic-settings, and Pytest tests
• Create minimal React/TypeScript frontend with Vite, Tailwind CSS, Lucide icons, and Dockerized build
• Configure Docker Compose to run FastAPI, PostgreSQL, Qdrant, Ollama, and React containers
• Resolve environment issues: upgrade Node.js to v24, start Docker Desktop engine, use mingw32-make on Windows, fix README UTF‑8 and .gitignore
• Run verification: ensure Git hygiene, backend tests pass, frontend lint passes, build succeeds, Docker Compose config is valid, containers run locally

Доказательства

Milestone 1 focused on: Repository structure, Local dev environment, Backend & frontend foundations, Config management, Testing setup, Docker & Compose, Documentation & reproducibility

Источник

FastAPI app with two endpoints: GET /health → {"status": "ok"} GET /ready → {"status": "ready"}

Источник

Docker Compose config → valid; Backend & frontend containers → running locally

Источник