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AutoPilot CI is an autonomous, multi-agent CI/CD intelligence platform that transforms every code push into a fully reviewed, tested, and hardened release candidate — without human intervention. At its core, the system orchestrates a swarm of specialized AI agents running in parallel: a Code Analyzer that detects anti-patterns and maintainability issues, a Security Scanner that catches SQL injection, XSS, insecure dependencies, and CVEs, a Performance Profiler that identifies N+1 queries and algorithmic bottlenecks, a Test Generator that writes unit tests for untested functions, a Docker Scanner that validates container configurations, and a Supervisor agent that aggregates all findings and makes the final pipeline decision — auto-fix, escalate, or deploy. When the supervisor decides to act, an AutoFix agent applies patches directly to the codebase, commits them to a new branch, and opens a pull request with a full markdown summary of every change made. A Deployment agent then handles rolling or blue-green release strategy based on severity thresholds. The platform supports Python, C#/.NET, and TypeScript/Angular codebases out of the box. It integrates with dotnet build to catch C# compiler errors statically, respects .gitignore via git ls-files, and offers both diff-only and full-repository scan modes. Every pipeline run streams agent decisions live to a custom real-time dashboard over Server-Sent Events, giving engineers full visibility into what each agent found and decided. At completion, a professionally formatted PDF audit report is generated — covering findings by severity, fix summaries, deployment logs, and a pipeline timeline — ready to share with stakeholders. Built on the Claude Agent SDK with a FastAPI backend, AutoPilot CI demonstrates how orchestrated LLM agents can replace entire categories of manual code review, security auditing, and DevOps toil — making high-quality, secure software delivery accessible at the speed of a git push.

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