Catch and fix the code-quality issues AI coding agents leave behind - dead code, unsafe casts, swallowed errors, duplication, security risks, and more. 50+ deterministic rules across 10 language targets, with CLI, CI, and GitHub Actions. No LLM at runtime. MIT.
Audit whether your codebase is as real as it claims. A zero-dependency static analyzer that grades every module claimed-only → reachable → tested → asserted from the code itself — never commit messages — and measures the AI-slop tax. No execution, no install of the code under audit.
SIOF (Semantic Integrity and Orchestration Framework) is an AI-native infrastructure layer that transforms codebases into Data Transformation Graphs (DTGs), enabling deterministic analysis, autonomous refactoring, and enterprise-scale orchestration of AI-generated software.
