victor-arch

An autonomous AI coding pipeline enforces guardrails by applying an architecture-first workflow with hard gates across plan, implement, test, and review stages. This prevents undisciplined AI coding by mandating tests and architectural reviews before finalizing code.

An architecture-first approach for AI-assisted development assesses a project across 17 sections, from Foundation to Compliance, before coding begins. It orchestrates an autonomous pipeline with dependency ordering and automated decision logging to maintain consistent architecture.

You enable the autonomous architecture assessment pipeline by turning on pipeline mode using the command `/victor-arch on`. This activates the workflow to plan, implement, test, review, and finalize code with crash recovery and hard gates.

Yes, the autonomous coding pipeline supports crash recovery during its plan, implement, test, review, and finalize stages. This ensures the architecture-first workflow maintains hard gates and automated decision logging even if interruptions occur.

Yes, you can load optional resources like scripts, references, and assets on demand during an automated code review. The centralized governance workflow supports loading these from their respective directories to guide tooling as needed.

The best way to maintain auditable decisions in AI-assisted automation is using a pipeline-driven workflow with automated decision logging. It enforces centralized governance and mandatory frontmatter to document the 17-section architectural assessment.