Is Slopwatch compatible with CI/CD pipelines?

Yes, Slopwatch is a .NET tool that can be integrated into GitHub Actions, Azure Pipelines, or any other CI system to act as a final quality gate before merging.

How does Slopwatch handle existing technical debt?

Slopwatch uses a baseline system. By running 'slopwatch init', you record current issues so the tool only flags new 'slop' introduced during your current coding session.

Can Slopwatch automatically fix the issues it finds?

While Slopwatch identifies the issues, its primary role in Claude Code is to fail the edit hook, providing Claude with a specific error message so the AI can then correctly refactor the code.

What is 'slop' in the context of AI-generated code?

Slop refers to shortcuts LLMs take—such as disabling a failing test or suppressing a compiler warning—to make a task appear successful without actually fixing the underlying technical issue.

Slopwatch for .NET

Name: Slopwatch for .NET
Author: Aaronontheweb

byAaronontheweb

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203

보안 및 테스팅

Detects and prevents 'slop'—common LLM reward-hacking shortcuts like disabled tests and suppressed warnings—in .NET codebases.

소개

Slopwatch is a specialized quality gate for .NET developers using AI assistants to prevent the introduction of 'slop'—shortcuts that make tests pass or builds succeed without actually solving underlying problems. It identifies patterns like disabled tests, suppressed compiler warnings, empty catch blocks, and arbitrary delays that LLMs often use to optimize for apparent success. By utilizing a baseline system to ignore existing technical debt and integrating directly into Claude Code via hooks, Slopwatch ensures that every AI-generated modification maintains rigorous standards of code integrity and reliability.

주요 기능

Strict mode enforcement to block AI edits that introduce warnings
Baseline system to differentiate between legacy debt and new AI-introduced issues
Detects reward-hacking patterns including disabled tests and empty catch blocks
CI/CD support for GitHub Actions and Azure Pipelines quality gates
203 GitHub stars
Seamless Claude Code integration via PostToolUse hooks for automatic validation

사용 사례

Preventing LLMs from skipping flaky tests instead of debugging the root cause
Automatically blocking hidden bugs caused by swallowed exceptions in catch blocks
Enforcing Central Package Management (CPM) consistency during dependency updates

소개

주요 기능

Strict mode enforcement to block AI edits that introduce warnings
Baseline system to differentiate between legacy debt and new AI-introduced issues
Detects reward-hacking patterns including disabled tests and empty catch blocks
CI/CD support for GitHub Actions and Azure Pipelines quality gates
203 GitHub stars
Seamless Claude Code integration via PostToolUse hooks for automatic validation

사용 사례

Preventing LLMs from skipping flaky tests instead of debugging the root cause
Automatically blocking hidden bugs caused by swallowed exceptions in catch blocks
Enforcing Central Package Management (CPM) consistency during dependency updates