FrameScraper dependency rewrite risk scanner

Before upgrading dependencies or refactoring legacy code, see where changes are most likely to break something

Problem

Developers inheriting or modernizing legacy projects fear breaking one thing and toppling ten others because they cannot see which dependencies are coupled and which files are high risk. Some spend years studying system design yet still hesitate to touch real production code. The pain of understanding change risk in existing code is widespread.

Solution

Statically analyze a local codebase and produce a change-risk map: high-coupling modules, widely referenced internal utility functions, fragile dependency chains, and critical paths with no test coverage. Developers consult it before upgrading dependencies or refactoring to decide where to start.

Users

Developers maintaining legacy projects, outsourcing teams, and engineers who just inherited an unfamiliar codebase

MVP

Parse JavaScript and TypeScript projects; output a ranking of high-coupling files and modules; flag heavily referenced internal functions; identify critical paths missing test coverage; generate a shareable risk map; run fully locally

Revenue

Free single-repo scans plus paid CI integration and team reports; or per-seat subscription

Why now

AI coding agents make changing code faster, but nobody tells developers where change is most dangerous. A risk map fills that gap, and static analysis tooling is mature enough to build on