CleanSlop vs GitWarren: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of CleanSlop and GitWarren — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

CleanSlop

Freemium

Scans vibe-coded apps for launch-blocking issues like leaked keys and data exposure, and reports what to fix first, right from your coding agent.

Agent-Native Scanning: Tell Claude Code, Codex, Cursor or other agents to scan with CleanSlop and fix findings where you build.
System-Level Code Mapping: Maps routes, background jobs, data and external services so each finding follows a real call path.
Prioritized Reports: Findings grouped as needs attention, worth a look and minor, worst first.
Evidence for Every Finding: Shows where each issue lives in your code and why it was flagged.
Plain-English Fixes: Explains what is wrong, why it matters and what to do about it.
Copy for LLM: Hands any report to your AI tool so it can apply the fixes.
GitHub App Integration: Scan only the repositories you select, read-only access.
Expert Triage Calls: Book a 15-minute call with a CleanSlop engineer to walk through findings.

A solo founder checks a Next.js and Supabase app built with an AI coding assistant before launching.
A developer discovers an exposed AI API key bundled into browser code and moves it to a server route.
A side-project builder verifies that one user's data cannot be read by another through database policies.
A Claude Code user runs a scan from the terminal and has the agent fix the top findings.
A team lead gets a short prioritized list instead of hundreds of linter warnings.
An indie hacker books an expert triage call to confirm an ambiguous finding.

Klarluft B.V.

Free

Desktop app for reviewing AI-agent code changes in the local git worktree before they are ever committed or pushed.

Pre-Commit Worktree Review: Reads staged, unstaged and untracked files straight from the git worktree and folds them into one diff, so agent output is reviewed before it becomes a commit or a pull request.
MCP Server for Coding Agents: Ships a stdio MCP server exposing the same seventeen tools the app uses, letting Claude Code, Codex or any MCP client open reviews, read threads, reply, comment on lines and resolve them.
Guaranteed Comment Attribution: Machine-written comments are always marked as such and the agent's name comes from the MCP handshake rather than whatever the model calls itself, so a human comment can never be mistaken for an agent one.
Per-Session Agent Identity: Each MCP session receives its own id, so two agents reviewing at the same time are told apart in a thread without either needing to cooperate.
Editable Human Ownership: You can edit or delete anything in a review, while an agent is held to its own messages — it can fix its own typo but cannot rewrite yours.
Fully Local Operation: No account, no sign-in and no network calls; every branch, commit and diff on screen is read from git at the moment it is displayed so nothing goes stale.
Single-File Storage: All reviews and comments live in one SQLite file in the application-data directory — delete it and GitWarren is gone, with repositories untouched.
Cross-Platform Distribution: Available for macOS on Apple silicon and Intel plus Windows and Linux, installable via Homebrew cask or direct download.

Reviewing Agent Output Before Commit: Read and comment on everything a coding agent produced while the changes are still a dirty worktree and corrections are cheap.
Interrogating an Agent About Its Own Diff: Ask the agent that wrote the code to explain a change or answer a line comment directly inside the review thread where the answer stays.
Coordinating Multiple Agents: Keep two or more concurrently running agents distinguishable in a shared review thread when parallelizing work across a repository.
Air-Gapped or Confidential Code Review: Review proprietary code on machines that cannot send diffs to a hosted service, since GitWarren never leaves the local machine.
Catching Untracked Files: Spot and review files an agent created but never added to git, which pull-request-based tools never surface.
Solo Developer Quality Gate: Maintain a disciplined review step on personal projects that have no team and no pull-request workflow.