Code Integrity Prover Connector for AI agents.

It is a capability that ensures your AI agent writes production-ready code by enforcing strict typing, removing placeholders, and eliminating lazy workarounds.

The Connector scans your code for type escapes like 'any' or 'unsafe' and rejects the code, forcing the agent to define proper interfaces instead.

Yes, it uses language-agnostic rules and specific anti-pattern dictionaries to scan for issues in any language or framework.

No, it goes beyond syntax. While a linter checks for style, this capability validates the logic, intent, and architectural integrity of the code.

It ensures that every catch or except block handles a specific error type and includes a recovery strategy rather than just logging and passing.

It acts as an automated gatekeeper, catching common AI mistakes like duplicated logic or sleep hacks before they reach your human reviewers.

No. It operates at the REASONING layer, not the code layer. It forces the agent to declare its type strategy, audit for placeholders, audit for workarounds, describe its error handling, and confirm no duplication. then validates the consistency of those declarations. The agent does the audit. The capability catches contradictions.

The prover enforces zero placeholders in production-bound code. If you're prototyping, set noPlaceholders to false and the verdict will be PLACEHOLDER_DETECTED. not a failure, but a checkpoint. The clarification field forces you to document what needs completion. Deliberate shortcuts are acceptable when documented.

It is fully language-agnostic. The logic engine detects language-neutral anti-patterns like compiler warning suppressions, empty catch/except blocks, TODO placeholder comments, and timing hacks, protecting any software architecture.