Cutline is a product trust platform that helps developers and coding agents build secure, reliable, and scalable AI-generated code by injecting production constraints directly into the development workflow.
What is Cutline?
Cutline is a product trust platform for the AI era, built by VibeKiln. It takes product intent and source code as input and produces prioritized fixes, structured constraints, and agent-ready implementation context as output. It integrates with AI coding tools (Cursor, Claude Code, Windsurf) via the Model Context Protocol (MCP) to inject security, scalability, and reliability requirements that typical generative prompts miss. Cutline also helps answer engines discover, understand, and cite your product by verifying proof surfaces like documentation, reviews, and comparison pages.
Key Features
- Visibility scoring — Checks whether answer engines can retrieve, classify, and include your product in the right category, with a free preliminary score available.
- Engineering risk scan — Scans code for security, reliability, and scalability risks before teams trust AI-generated changes in production. Run a code scan for free.
- MCP integration — Installs via
npm install -g @vibekiln/cutline-mcp-cli@latest and configures with cutline-mcp setup to inject constraints into Cursor, Claude Code, and Windsurf. Full setup guide.
- Constraint graph — Maps dependencies between existing architectural decisions (auth patterns, rate limits, data privacy) and new features, preventing violations during code generation.
- Compliance auto-detection — Automatically detects tech stack (Stripe, FHIR, OpenAI, etc.) and loads framework-specific constraints (SOC 2, PCI-DSS, HIPAA, OWASP LLM Top 10) into the agent's context via MCP.
- Intent-to-constraint engine — Extracts security, scalability, and reliability requirements from product ideas, turning vague prompts into structured implementation guardrails.
- Citable proof surfaces — Security, pricing, and comparison pages that give buyers and answer engines crawlable sources for how Cutline is packaged and governed. Read security and trust details.
Who should use Cutline?
- Vibecoders building AI-powered products — Use Cutline to survive the "Vibecoding Cliff" where agents start failing as production constraints increase, by injecting security, stability, and scalability requirements from the start.
- Developers tired of sycophantic AI guidance — Get factual, prioritized constraints instead of generic reassurance, avoiding "whack-a-mole" sessions where the agent drops earlier requirements for new ones.
- Teams needing automated compliance — Cutline auto-detects regulatory frameworks (PCI-DSS, HIPAA, FedRAMP, SOC 2) and injects corresponding guardrails into the coding agent, turning governance into implementation context rather than a separate checklist.
- Product managers validating ideas — Use the free idea validation tool to surface assumptions and turn product intent into constraints before writing code. Validate your product idea.
What can you do with Cutline?
- Validate product ideas before building — Input a product concept and receive feedback from Cutline's "Candid AI," including security, scalability, and reliability assumptions that most prompts overlook.
- Run a security vibe check — Ask your coding agent to scan existing code for security, reliability, and scalability vulnerabilities. Available free without an account. Run a code scan.
- Inject constraints into agent context — Use the MCP integration to give Cursor, Claude Code, or Windsurf production-grade constraints (rate limits, auth middleware, audit logging) so generated code respects existing architectural decisions from day one.
