GateBolt: AI coding agent compliance checker
GateBolt is a tool that ensures AI coding agents follow their declared intent. It requires the agent to state its planned changes upfront, then audits the actual modifications against that declaration, flagging undeclared file changes, secret leaks, or skipped tasks. It solves the problem of unreliable agent reporting for developers using AI coding assistants.
Entities
Related
AI code auditor that only finds bugs, does not fix them
A constrained AI system designed solely to audit code for bugs, without attempting to fix them. It uses a custom architecture to force the LLM into a pure auditing role, tested on GitHub repos like Monica and Economizer, finding all known critical errors and some previously missed ones. Aimed at side project developers needing thorough code review.
Snitch: deterministic claim verifier for AI agent transcripts
Snitch is a tool that watches AI agent transcript files (Cursor, Claude Code, Codex, Pi, OpenCode) and verifies claims made in prose against actual evidence like tool calls, shell output, filesystem changes, git history, and session context. It uses deterministic regex patterns to extract claims and cross-references them, flagging inconsistencies. It helps developers trust their coding agents by catching when an agent's description doesn't match reality.
Ripple: open-source local-first authorization for AI coding agents
Ripple is an open-source, local-first authorization layer that restricts AI coding agents to only modify files they are explicitly permitted to change. It solves the problem of AI agents making unauthorized or unintended modifications across a codebase, giving developers control and trust in agentic coding workflows.
Baton: Monitor AI coding agents and get notified when they need human input
Baton is a tool that monitors AI coding agents and alerts developers when an agent requires human intervention. It uses LLMs to analyze agent outputs and determine when a human needs to step in, solving the problem of developers having to constantly check on multiple agents.
AI codebase impact tracker: detect AI-written code, fault risk, token cost
Semfora.ai is a tool that analyzes a codebase to detect AI-generated code, estimate fault risk and token cost, and audit changes to critical code without requiring a code owners file. It uses LLMs to tag bug fault causes with near 100% accuracy, proven across 118 open source repositories. It helps teams understand how AI affects their codebase over time and prevent issues before they are flagged.