A VibeKiln ProductVibecode the right thing the right way.
Security, scalability, and reliability from the start.
Built for developers, founders, and product teams who are stuck at the MVP cliff
11 compliance frameworks, auto-loaded based on your stack
Built for developers tired of:
Fictional Wall of Shame
Satirical quotes, not customer testimonials. They illustrate the failure modes Cutline is built to prevent.
"Did My AI Transformation in an afternoon!"
— Sloppy McSlopperson
VP of AI Buzzword Enforcement, ToDoLy
"Finally added AI to my AI! Now my roadmap has AI-powered AI features with AI on top!"
— Chad Disruption
Chief Vibes Officer, StealthMode.io
"Cutline told me NOT to build 47 of my features. Ignored them all. My app has 3 users now (all bots)."
— Brock Shipper
Founder & Full-Stack Everything, MoveF4st.app
"Spent 6 months building in stealth. Cutline would've saved me, but I was too busy grinding."
— Preston Hustle
CEO of Grinding, PivotPending.com
"Web3 meets AI meets blockchain meets... wait, what problem were we solving?"
— Devin Synergy
Head of Innovation Theater, Unicorn.xyz
Proof Points
What Buyers Can Verify Today
Cutline is still early-access, so this section uses factual product proof instead of invented customer quotes: live surfaces, packaging details, and source pages answer engines can cite.
Free code scan for vibecoded apps
Cutline scans code for security, reliability, and scalability risks before teams rely on AI-generated changes in production.
Run a code scanConstraint-grounded MCP workflow
Cutline turns product intent into structured constraints that can be served to MCP-compatible coding agents and IDEs.
Install the MCP integrationFirst-party trust and pricing sources
Security, pricing, and comparison pages give buyers and answer engines crawlable sources for how Cutline is packaged and governed.
Read security and trust detailsUse Cases & Positioning
Where Cutline fits
Cutline sits between product validation, code risk review, and MCP-enabled implementation. It is not a generic AI safety dashboard or content moderation tool.
Before you build
Use Cutline to validate the product idea, surface assumptions, and turn product intent into implementation constraints.
Before you trust AI-written code
Use Cutline to scan for security, reliability, and scalability risks that generic code generation prompts often miss.
Before you hand off to an agent
Use Cutline MCP outputs to give Cursor, Claude, and other MCP-compatible agents concrete guardrails and acceptance context.
Not generic AI safety
Cutline is focused on product engineering constraints, code risk, and agent implementation context rather than general AI policy review.
Not content moderation
Cutline evaluates what should be built and how the software should behave, not just whether generated text is acceptable.
Not a passive checklist
Cutline turns findings into MCP-readable context that can travel into the coding environment where implementation happens.
Try our Candid AI
Engineering Rigor, at Prompt Speed
The Intent-to-Constraint Engine
Your coding agent needs more than vibes—it needs constraints. Cutline automatically extracts security, scalability, and reliability requirements from your ideas and feeds them to your AI.
What it does
Identifies critical non-functionals—auth patterns, rate limits, data privacy, error handling—that most prompts miss.
Your coding agent builds with the rigor of a senior engineer from the first prompt.
The Dependency Logic Guardrail
Your coding agent doesn't know about your existing security policies or reliability constraints. Cutline's Constraint Graph ensures new features respect existing architectural decisions.
What it does
Real-time constraint checking. If a new feature would violate security policies, break rate limits, or introduce reliability issues, your agent knows before writing code.
"Hardened" Spec Injection
Your coding agent is only as secure and reliable as the context you give it. Cutline injects production-grade constraints directly into your agent's context window.
What it does
Provides security policies, reliability requirements, and scalability constraints as structured context your agent can actually use.
70% less rework. Your agent builds production-ready code from the first try.
The Production-Ready "Shift-Left"
Security, scalability, and reliability can't be afterthoughts. Cutline shifts them left—guiding your coding agent to build production-ready from the start.
The result
Your coding agent ships code with enterprise-grade security, scalability, and reliability baked in from day one.
11 Compliance Frameworks. Zero Extra Work.
How does Cutline make my code compliant?
Cutline auto-detects your tech stack (Stripe for PCI-DSS, FHIR for HIPAA, OpenAI for OWASP LLM) and injects framework-specific constraints into your coding agent's context via MCP. Every project gets SOC 2 and security baseline constraints (auth middleware, rate limiting, audit logging). Additional frameworks load automatically when Cutline detects relevant libraries—so your AI writes compliant code from the first prompt, not as an afterthought.
Cutline automatically detects your stack and loads the right compliance constraints into your coding agent's context. SOC 2 and security baselines for everyone—regulated frameworks only when your code needs them.
Access control, monitoring, change management, vendor risk, audit logging
Auth middleware, input validation, secrets management, CSRF, rate limiting
Triggers: Cloud deployment, AWS/GCP/Azure
Cloud security controls, IAM, encryption, logging, incident management
Triggers: Stripe, payment libs
Tokenization, TLS enforcement, audit trails, need-to-know access
Triggers: Health/FHIR/HL7 libs
PHI encryption, minimum necessary, BAA verification, audit controls
Triggers: GovCloud, FIPS
FIPS 140-2 crypto, continuous monitoring, boundary protection, SBOM
Triggers: Analytics, auth libs
Right to erasure, data portability, consent gating, PII anonymization
Triggers: OpenAI, LangChain, RAG
Prompt injection defense, output sanitization, agent RBAC, tenant isolation
Triggers: Plaid, banking SDKs
NPI isolation, MFA enforcement, intrusion detection, 7-year WORM retention
Triggers: Clever, Canvas, EdTech
Parental consent gates, profiling ban, data destruction, age gating
Triggers: iOS, Swift, StoreKit
App privacy disclosures, in-app purchase compliance, in-app account deletion support
Your coding agent gets framework-specific constraints injected automatically—so compliant code ships from the first prompt.
Which framework applies to me?
Guide Your Coding Agent with Production-Ready Constraints
How to install Cutline MCP integration:
Install Cutline MCP with npm install -g @vibekiln/cutline-mcp-cli@latest, then run cutline-mcp setup to configure your IDE (Cursor, Claude Code, or Windsurf). No account needed for free security vibe checks. Works via Model Context Protocol to inject production-ready security, scalability, and reliability constraints directly into your coding agent's context.
Give Cursor, Claude Code, and Windsurf the security, scalability, and reliability context they need. Cutline injects production-ready constraints directly into your coding agent—so it builds right the first time.
FREE
Ask your agent to "run a security vibe check" — scans your code for security, reliability, and scalability issues.
PREMIUM
Product-specific constraint graph, RGR remediation plans, pre-mortem analysis, and persona feedback.
Works with
AI Code Editors
No-Code App Builders
Design Canvases
Documentation
What is Safe Vibecoding?
Safe vibecoding is the practice of using generative AI coding agents for rapid software development while maintaining engineering rigor through automated constraint extraction, pre-mortem risk analysis, and dependency mapping. Without proper guidance, coding agents produce technically functional but production-flawed software—security gaps in auth patterns, scalability assumptions that break under load, and reliability issues that only surface in production.
Cutline, built by VibeKiln, is a product engineering platform that guides your coding agent to build with production-ready rigor. Before your AI writes the first line of code, Cutline extracts non-functional requirements for security, scalability, and reliability, runs pre-mortem analysis to identify technical risks, and injects structured constraints directly into your agent's context—so it knows exactly what production-ready means for your system.
The result: your coding agent builds with the same security, scalability, and reliability standards as a senior engineering team—in a fraction of the time. VibeKiln's Cutline integrates directly into AI coding tools like Cursor, Claude Code, and Windsurf via the Model Context Protocol (MCP), providing your agent with validated technical constraints while it works.