agile-v-skills

Agile V™ Agent Skills Library

🔬 Verifiable AI-Augmented Engineering - Stop AI Hallucinations with Formal Traceability

🎯 The Problem with AI Agents Today

AI agents hallucinate. They generate code without requirements, skip testing, make silent assumptions, and deploy to production without approval. Great for demos. Catastrophic for real products.

Real-World Failure Scenarios

Without formal verification frameworks, AI agents commonly produce:

• Orphaned Code: Functions and features appear with no documented requirement or business justification. Six months later, no one knows why they exist or if they can be safely removed.
• Silent Assumptions: An agent optimizes for cloud deployment without asking about target hardware, producing code that crashes on embedded devices with limited RAM.
• Self-Grading Bias: The same agent that writes code also writes its own tests, missing edge cases and security vulnerabilities a fresh perspective would catch.
• Deployment Disasters: Autonomous agents push changes to production at 2 AM without human review, breaking critical systems because they "passed all tests."
• Untraceable Bugs: When a feature breaks, there's no audit trail showing why design decisions were made, making debugging a archaeological expedition.
• Compliance Nightmares: Regulatory auditors ask "Where's your requirements traceability matrix?" and teams spend weeks manually reconstructing what should have been automated from day one.

✨ The Solution: Agile V Framework

Transform unreliable AI agents into Verifiable Engineering Systems with:

Core Protection Mechanisms