ai-ad-code-factory

Autonomous code generation orchestrates multi-agent collaboration through a six-stage pipeline: Search, Select, Adapt, Assemble, Verify, and Confirm. This approach automates planning, code search, adaptation, and integration while maintaining security through sandboxing and verification checks.

Workflow orchestration coordinates multiple agents and sub-skills to generate, integrate, and verify code systematically. It sequences analysis, planning, search, adaptation, assembly, and verification stages to produce ready-to-integrate modules with traceable provenance.

Yes. Task persistence is maintained via task_list.json and Git commits, enabling session continuity and full traceability of code generation and integration decisions across multiple development cycles.

The factory selects candidate code through search, adapts it to fit module requirements via AST-based transformation, assembles adapted components into a cohesive module, and verifies correctness before confirmation—all coordinated across secure sandboxed environments.

Defense-in-Depth security applies whitelist-based access control, sandboxing to isolate execution, and Source-of-Truth checks to validate code provenance. This multi-layer approach prevents unauthorized modifications and ensures only verified code integrates into modules.

Yes. The orchestrator handles initial analysis and multi-agent planning as the first stage, decomposing high-level tasks into sub-skill sequences that inform search, selection, and downstream code generation steps.