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About
Cutline is an AI technical product management suite focused on “safe vibecoding,” where teams use AI coding agents quickly without losing engineering rigor. It addresses the gap between natural-language product ideas and the technical and non-functional requirements that AI agents often miss, such as latency expectations, authentication patterns, data privacy needs, and architectural constraints. Cutline ingests a user’s description of a feature, extracts hidden constraints, and organizes them into a dependency-aware constraint graph that can flag conflicts when new work contradicts existing rules. It also supports pre-mortem risk analysis and AI persona conversations to surface product and market issues before code is written. Cutline integrates into tools like Cursor, Claude Code, and Windsurf via MCP, so validated context and hardened specifications can be injected directly into the coding workflow.
Problem & solution
Problem
AI coding prompts miss constraints, causing wrong features and risky architectures
Solution
Extract constraints, map dependencies, test personas, and pre-mortem before coding
Who it's for
Founders, product managers, and indie hackers using AI coding tools
Main features
- Constraint extraction
- Dependency constraint graph
- Spec/context injection
- Pre-mortem analysis
- AI persona testing
Use cases
- Validate ideas before coding
- Prevent constraint conflicts in builds
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