How do we know an AI-generated change is actually ready?
Not just "the code looks good."
Not just "the tests pass."
Not just "the agent says it's done."
We need evidence:
→ What requirement was implemented?
→ What changed?
→ What was tested?
→ What risks remain?
→ Who approved the result?
That is the idea behind Agile V: bring traceability, independent verification, and evidence gates into AI-assisted development.
Explore the 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
From vibe coding to verified engineering.
