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SlopCop

SlopCop provides static analysis for coding agents, integrating deep checks directly into the development loop. It identifies problems on every edit, tracing findings to their source with deterministic results. This ensures bugs are caught and fixed by the agent before code is pushed to CI, improving code quality and accelerating development workflows.

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SlopCop screenshot

SlopCop offers a robust static analysis solution designed specifically for coding agents, enabling them to identify and fix code issues in real-time. Unlike traditional CI-based static analysis that runs after code has been committed, SlopCop operates within the agent's loop, checking changes after each edit. This proactive approach ensures that problems are addressed immediately, while the context is fresh, preventing them from propagating further into the development cycle.

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The system is built on Bifrost, an open-source static analysis engine, which guarantees deterministic findings. Every identified issue is traceable back to a specific rule and the exact lines of code that triggered it, eliminating guesswork and ensuring consistent results. SlopCop can follow data flows across multiple files, identifying complex issues like SQL injections that might span several code changes, providing a comprehensive view of potential vulnerabilities.

SlopCop integrates seamlessly with popular coding agents such as Claude Code and Codex. Developers can install the CLI, add the SlopCop skill to their agents, and configure them to run checks automatically after every modification. The agent receives findings, fixes them, and re-checks until no issues remain, streamlining the debugging process. It analyzes code as written, allowing agents to check half-finished edits even before the project builds.

Security is a core consideration; SlopCop operates with read-only access, never building or running your code. It analyzes only the files written in a change, sending only the repository URL, base commit, and the patch, without sending full source code excerpts or relying on language models for analysis. Findings are returned as a rule, severity, file, and line number, maintaining privacy and security.

SlopCop offers a free tier for initial checks and the first repository, with subsequent active repositories incurring credits. The platform is designed to be integrated into both coding agents and CI pipelines, ensuring problems are caught at multiple stages of development. Support is available to help teams set up SlopCop for their specific codebase and workflows.

  • CategoryAI Code Review & Testing
  • Pricing ModelFreemium
  • DeploymentCLI
  • PlatformsWeb

  • Real-time static analysis for coding agents

  • Deterministic findings traced to source

  • Deep analysis capable of following data flow across multiple files

  • Integration with Claude Code and Codex agents

  • Checks half-finished edits before project builds

  • Uses Bifrost, an open-source static analysis engine

  • Read-only access to code, never builds or runs it

  • Analyzes only changed files, not full repository

  • Findings include rule, severity, file, and line number

  • Supports integration into CI pipelines

  • Free checks and first repository

  • Secure data handling, no code sent to language models

  • Provides clear, provable answers on code issues

  • Consistent results for same code, same findings

  1. Create Account: Sign up for a SlopCop account to get started.

  2. Install CLI: Install the SlopCop command-line interface globally on your machine using npm.

  3. Initialize Agent Skill: Run `slopcop init` to add the SlopCop skill to your coding agents (e.g., Claude Code, Codex).

  4. Login: Use `slopcop login` and approve the sign-in in your browser to link your account.

  5. Configure Agent: Instruct your coding agent to run SlopCop after each edit, or add a line to your project's CLAUDE.md or AGENTS.md for automatic checks.

  6. Review Findings: Your agent will check changes, read findings, and fix them, repeating until no issues are left.

  7. Push Code: Once the agent completes its task and fixes all issues, push your clean code.

  • Real-time Bug Fixing
  • Automated Code Quality
  • Security Vulnerability Detection
  • CI Pipeline Enhancement
  • Developer Productivity
  • Consistent Code Standards

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