Agentic CleanSlop

Product Introduction

1. Definition: Agentic CleanSlop is an AI-powered code analysis and remediation tool that operates directly within AI coding agents (like Claude Code, Cursor) and personal agents (like Grok Bot, Muse). Technically, it is a security and quality scanning service for TypeScript/Node.js applications, delivered via an agent-native CLI and MCP (Model Context Protocol) server.
2. Core Value Proposition: It exists to automate the detection and fixing of critical, user-impacting bugs and security vulnerabilities in modern web applications. Its primary value is enabling developers to offload the tedious work of code auditing and patching to their AI agent, dramatically reducing the time between identifying a production issue and deploying a secure fix. Key keywords: AI code scanning, automated bug fixes, agentic workflow, Stripe Link authentication, TypeScript security scanner.

Main Features

1. Agent-Native Authentication & Workflow: The core interaction happens entirely within the user's AI agent. A user pastes a single command (Scan with cleanslop.com), and the agent manages the entire process. It authenticates the user via Stripe Link (in US/Canada) or GitHub OAuth, which provides verified identity without passwords. This seamless, in-context workflow eliminates context switching between the IDE, a web dashboard, and authentication portals.
2. Context-Aware Code Scanning: The agent scans the specific project directory the user is working in. It intelligently uploads only files tracked by git (or that would be), explicitly excluding sensitive local files like .env and credential files. The scan focuses on "vibe-coded" apps—typically fast-built, modern TypeScript/Node.js stacks like Next.js with Supabase—to find issues that "break with real users," prioritizing runtime errors and security flaws over stylistic linting.
3. Interactive Analysis & Autonomous Fixing: After scanning, the agent presents a concise list of actionable issues. Crucially, it asks for user approval before applying any fixes. Once approved, it autonomously modifies the code to resolve the issues and performs a rescan to verify the corrections are effective. This creates a closed-loop, accountable repair cycle managed by the agent.

Problems Solved

1. Pain Point: For solo developers and small teams building quickly, critical security vulnerabilities (e.g., broken access control, data leakage) and stability bugs often slip into production. Manual code review is time-consuming, and traditional SAST tools generate noisy, non-contextual alerts that require manual triage and fixing.
2. Target Audience: Primary personas are Full-Stack JavaScript/TypeScript Developers and Startup CTOs/Engineering Leads building with frameworks like Next.js, using backends like Supabase or Prisma. A secondary audience is Technical Founders who code rapidly and need automated safety nets.
3. Use Cases:
   • Pre-Deployment Safety Check: A developer finishes a feature and instructs their agent to scan the codebase for critical issues before committing or creating a pull request.
   • Legacy Code Audit: A developer inherits a codebase and uses their agent to rapidly identify and patch the highest-risk security flaws.
   • Continuous Agentic Maintenance: Integrating the scan command into an agent's regular workflow provides ongoing, automated code health monitoring as the project evolves.

Unique Advantages

1. Strengths & Limitations (Pros & Cons):

   • Pros:
     • Unparalleled Workflow Integration: The deepest integration of a scanning tool into the AI agent workflow, removing all friction from initiation to fix.
     • Developer-Centric Context: Scans the active working directory and provides concise, relevant findings tailored to modern JS/TS stacks.
     • Accountable Autonomy: Requires explicit user approval for fixes and payments, maintaining developer oversight.
     • Frictionless Onboarding: Stripe Link authentication is a breakthrough for agent-tool onboarding, requiring zero form filling.
   • Cons:
     • Limited Stack Support: Currently optimized for TypeScript/JavaScript, specifically Next.js with Supabase. Not suitable for other languages or complex backend architectures.
     • Geographic Restriction: Stripe Link sign-up is only available for users in the US and Canada, requiring GitHub auth elsewhere.
     • Agent Dependency: The core value proposition is inaccessible without using an AI coding or personal agent that supports CLI commands or MCP.

2. Key Alternatives & Differentiation:

   • Traditional SAST Tools (e.g., Snyk Code, SonarQube): These are comprehensive, language-agnostic platforms integrated into CI/CD pipelines. CleanSlop differentiates by being agent-native, conversational, and fix-oriented. While Snyk finds issues, CleanSlop (via your agent) explains them in context and immediately offers to fix them within the same interface, targeting a faster, more integrated developer experience rather than enterprise governance.
   • Linters & Formatters (ESLint, Prettier): These tools enforce code style and catch syntactic errors. CleanSlop operates at a higher level, focusing on runtime behavior, security logic, and data flow—problems that break in production, not just in the compiler. It complements rather than replaces these tools.
   • General AI Coding Agents (Claude Code, Cursor AI): These agents can be prompted to find and fix bugs generically. CleanSlop provides a specialized, productized function—a tuned scanner with a dedicated fixing engine—delivering more reliable, consistent, and secure results for its specific domain than a general agent prompt.

Frequently Asked Questions (FAQ)

1. What code does Agentic CleanSlop scan and fix? Agentic CleanSlop specializes in scanning and fixing TypeScript and JavaScript applications, with its most precise analysis targeted at modern full-stack frameworks like Next.js paired with databases like Supabase. It focuses on runtime errors and security vulnerabilities that affect real users.
2. Is it safe to let my AI agent run CleanSlop on my code? Yes, by design. The agent only uploads files that are or would be tracked by git, automatically excluding sensitive local files like .env. Furthermore, the agent must request explicit approval for every action: authentication, each fix it applies, and any purchase. You maintain full oversight throughout the process.
3. How does CleanSlop pricing work when used from an agent? Scanning requires credits. If you run out, your agent will present purchase options (credit packs or monthly plans) for your approval. Payments are handled securely via Stripe Link or GitHub checkout; your agent never sees your payment details. You must explicitly approve every transaction.
4. Can I use CleanSlop if I'm not in the US or Canada? Yes. While the seamless Stripe Link sign-up is currently limited to the US and Canada, users worldwide can authenticate using their existing GitHub account. Your agent will offer the GitHub option during the connection step.
5. What happens if I revoke my agent's access? You can revoke an agent's connection at any time from your CleanSlop account page under "Connected agents." This immediately invalidates its access token. The agent can be reconnected the next time you initiate a scan, going through the standard authentication flow again.