VibeKiln builds tools and research to make AI‑assisted software development safe and production‑ready. Its flagship product, Cutline, converts AI‑generated code into secure, scalable systems and includes validation and scanning features for enterprise teams.
Funding
Funding not disclosed
Founders
Product
Problem
AI coding agents can rapidly generate functional code but often omit essential non‑functional requirements, security controls, scalability constraints, and architectural best practices, leading to prototypes that are unsafe and unfit for production.
Solution
VibeKiln addresses this gap with Cutline, a product‑engineering platform that adds a validation layer to AI‑assisted development. Cutline extracts hidden technical constraints from natural‑language product descriptions, runs pre‑mortem risk analyses, and simulates AI‑generated user personas to surface assumptions and potential failures. The platform builds a constraint graph that feeds production‑grade requirements—such as latency, authentication, privacy, SOC 2, PCI‑DSS, and other compliance rules—directly to coding agents via the Model Context Protocol (MCP). By integrating this context into the coding workflow, Cutline ensures that generated code adheres to security, performance, and operational standards from the first line. The result is AI‑generated software that is both functionally correct and production‑ready, reducing technical debt and post‑deployment remediation.
Target Audience
Cutline is aimed at software development teams, product managers, and founders who use generative AI tools to build applications and need to ensure those applications meet enterprise‑grade security, scalability, and compliance requirements.
Features
- Automated extraction of non‑functional requirements (e.g., latency, auth patterns, data privacy) from product briefs
- Pre‑mortem analysis that identifies top technical risks and untested assumptions before code is written
- AI persona testing and journey simulation to validate product messaging, UX, and edge‑case behavior
- Constraint graph and MCP integration that provides real‑time context to coding agents in IDEs such as Cursor, Claude Code, and Windsurf
- Generation of compliant code scaffolds for standards like SOC 2 and PCI‑DSS, embedding necessary controls automatically
- Secure data handling with TLS encryption, Google Cloud infrastructure, and no use of customer data for model training
- Subscription‑based access with a free‑trial period and optional discounts for non‑profits