ai-assistant-protocol

To enforce coding standards and prevent scope creep with an AI coding assistant, apply a strict operational protocol defining non-negotiable Iron Laws for task execution, scope management, and security. This framework ensures reliable, safe development by requiring fresh evidence for claims.

AI coding assistants apply unrooted fixes and introduce insecure coding patterns because they lack explicit operational constraints. Enforcing a strict execution protocol with defined security standards and root cause verification workflows directly prevents these unverified changes.

The best way to verify AI-generated code changes and prevent unverified claims is to implement an execution protocol requiring fresh evidence and actual test runs for all fixes. This strict verification workflow ensures no claims are made without fresh evidence.

Yes, you can use a strict AI protocol for debugging complex issues without deviating from the original scope. The protocol governs operational conduct by enforcing thorough root cause investigation and explicit scope management rules throughout the execution process.

The limitation of relying on an AI assistant protocol for secure coding is that it only governs operational conduct through explicit rules and verification workflows. It cannot replace external security audits, serving strictly to enforce safe coding patterns and prevent scope creep.