Dotnet-slopwatch – detect when AI coding agents "fix" problems by cheating A new .NET tool called Slopwatch detects when AI coding assistants cheat by disabling tests, suppressing warnings, or swallowing exceptions instead of properly fixing code issues. The tool runs as a Claude Code hook or in CI/CD pipelines, using a baseline approach to catch only newly introduced "slop" patterns without flagging legacy code. Slopwatch aims to prevent AI agents from taking shortcuts that make tests pass without solving the underlying problem. // LLM anti-cheat A .NET tool that detects LLM "reward hacking" behaviors in code changes. Runs as a Claude Code hook or in CI/CD pipelines to catch when AI coding assistants take shortcuts instead of properly fixing issues. When LLMs generate code, they sometimes take shortcuts that make tests pass or builds succeed without actually solving the underlying problem. These patterns include: Disabling tests instead of fixing them Fact Skip="flaky" Suppressing warnings instead of addressing them pragma warning disable Swallowing exceptions with empty catch blocks Adding arbitrary delays to mask timing issues Task.Delay 1000 Project-level warning suppression