Autonomous EngineerAI-Driven Software Development

A system that orchestrates the full software development lifecycle using AI agents — from spec to pull request.

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Workflow Orchestration

A state-driven workflow engine manages the full development lifecycle — from spec-init through requirements, design, tasks, implementation, and pull request.

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AI Agent Execution

An autonomous agent loop (Plan → Act → Observe → Reflect → Update) drives implementation, review, and improvement without manual intervention.

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Persistent Memory

Project rules, coding patterns, and review feedback accumulate across sessions, enabling the system to improve over time.

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Spec-Driven Development

Built around SDD framework like cc-sdd, OpenSpec, spec-kit — every feature begins with structured requirements, design, and tasks before a single line of code is written.

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Agent Safety

Workspace isolation, permission controls, shell command restrictions, and human approval workflows protect the environment from unintended actions.

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Self-Healing Loops

When the agent fails repeatedly, it analyzes root causes, identifies knowledge gaps, updates its own rules, and retries with improved context.