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

A side-by-side comparison of CleanSlop and Prelint — 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.

Paid

AI reviewer that checks every pull request against your ADRs, docs and past decisions to catch product drift before it ships.

Context-Aware Review: Reviews each PR against your ADRs, product docs and past decisions instead of only linting style or syntax.
Product Drift Detection: Flags conflicts, gaps and drift between the PR's intent and your product context inline in the diff.
Agent Self-Correction: The Prelint agent can self-correct against detected violations before a human reviewer opens the PR.
GitHub & GitLab Integration: Runs on both major hosted git platforms with native PR/MR integration.
Isolated Infrastructure: Every organization runs on isolated per-organization infrastructure and Prelint does not train on customer code.
Usage-Based Pricing: $1 per completed review with $10 in free credits, no seats or subscription.

AI-Written PR Triage: A team using coding agents like Copilot or Claude Code lets Prelint gate agent PRs against product intent before humans look.
Architecture Enforcement: A platform team encodes architecture decisions in ADRs and uses Prelint to catch PRs that violate them.
Onboarding Safety Net: A new engineer's early PRs get reviewed against product context they haven't fully internalized yet.
Open Source Maintenance: A maintainer of a public repo enables Prelint (free for OSS) to review incoming contributions for product fit.
Cost-Controlled Review: A startup wants automated review without paying per developer seat and pays $1 per PR instead.