CleanSlop vs Modeinspect: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of CleanSlop and Modeinspect — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
CleanSlop
CleanSlop
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.
Key features
- 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.
Best for
- 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.
Modeinspect
Acreom
An AI design canvas that sits on top of your real codebase, so UI is shaped with live components and shipped as a pull request instead of a mockup.
Key features
- Codebase-Backed Canvas: Turns the product's real repository into editable canvas frames, so every element on screen is the component that actually ships.
- Components at 1:1 Fidelity: Drops in real shipped components with every variant and state intact, preventing the drift that comes from redrawn look-alikes.
- Enforced Design Tokens: Pulls every colour, spacing value and text style from the project's own library so nothing off-system can be placed on the canvas.
- Native Breakpoints: Lays out mobile, tablet and desktop side by side and reflows each one live instead of freezing a single frame per size.
- Capture to Canvas: Pulls any screen straight out of the running product onto the canvas pixel-exact and fully live, so redesign starts from current reality.
- Dynamic State Design: Shapes hover, focus, error, empty, loading and success states directly on the real component rather than guessing at them.
- AI Exploration: Uses current AI models to generate variants, restyle a section, adjust copy or apply a design direction with the designer still steering.
- Merge-Ready Pull Requests: Converts canvas changes into scoped, type-safe code changes delivered to engineering as a pull request, with no redlines or spec docs.
Best for
- Redesigning a Live Screen: Capture an existing production screen onto the canvas and rework it against the real components instead of rebuilding it in a mockup tool.
- Design QA on the Real Product: Audit spacing, tokens and responsive behaviour on the actual interface across breakpoints before a release.
- Shipping Visual Changes Without Handoff: Send small styling and layout fixes straight to engineering as a scoped pull request rather than filing a design ticket.
- Designing Every State: Build out loading, empty and error states on the real component so the interface holds together once users hit edge cases.
- Exploring Directions Quickly: Generate several AI-assisted variants of a section to compare options before committing to one.
- Stakeholder Review: Share a live prototype running on real data and components so feedback is given on the real thing rather than a static image.
- Keeping Design and Code in Sync: Enforce the existing design system automatically so new work cannot introduce off-brand colours or spacing.