AI coding is fast. But fast code without requirements, tests, traceability, and evidence is just vibe coding with confidence.
That's why we built Agile V: a framework for turning AI agents into verifiable engineering systems.
Two open-source projects
agile-v-skills
Agent skills for traceable requirements, independent Red Team verification, human gates, and compliance-ready evidence.
→ github.com/Agile-V/agile_v_skills
agentic-agile-v
A practical scaffold for running AI engineering with structured briefs, evidence bundles, validation gates, and risk-based workflows.
→ github.com/Agile-V/agentic_agile_v
The principle
Conversation discovers intent.
Structured artifacts control implementation.
Evidence controls acceptance.
Star the repos, try them in your next AI-assisted project, and help make AI engineering more trustworthy.
