Build Autonomous AI Software Factory

# Autonomous Software Factory – Agentic Engineering Platform

## Project Overview
Design and build an autonomous software factory that enables AI agents to independently analyze requirements, write code, execute tests, identify and remediate issues, and raise production-ready Pull Requests with a high degree of confidence in code quality, security, and reliability.

The platform should establish an end-to-end agentic software development lifecycle (AI SDLC), integrating AI agents into existing engineering workflows while maintaining strict human oversight and automated quality gates.

## Key Responsibilities
- **Autonomous PR Generation:** Build multi-agent workflows capable of independently navigating codebases, implementing features, fixing bugs, and raising well-documented PRs.
- **Quality Assurance:** Implement automated testing, code reviews, regression testing, and AI-driven evaluation frameworks to validate agent-generated changes.
- **Security & Compliance:** Integrate SAST, DAST, dependency scanning, secrets detection, and security-focused AI agents to identify vulnerabilities before PR approval.
- **CI/CD Integration:** Build robust pipelines integrating GitHub/GitLab, build systems, test automation, deployment workflows, and approval gates.
- **Agent Orchestration:** Design scalable agent orchestration, task decomposition, context management, retries, and recovery mechanisms.
- **Observability & Evaluation:** Establish comprehensive tracing, metrics, agent performance benchmarks, and continuous evaluation loops to measure PR acceptance rates, defect rates, security findings, and autonomous execution success.

## Ideal Experience
- Previously designed and implemented an autonomous software factory or agentic engineering platform.
- Strong experience with CI/CD architecture, Git workflows, automated testing, and developer tooling.
- Hands-on experience building multi-agent systems and orchestrating autonomous coding agents.
- Deep understanding of application security, software quality engineering, and production-grade engineering practices.
- Experience integrating LLMs and coding agents into enterprise-scale software development workflows.

## Expected Outcome
A production-grade autonomous software factory capable of generating, validating, and submitting high-quality PRs autonomously, with measurable confidence in correctness, security, maintainability, and engineering standards.