DeprecationTracker: Legacy Code Debt Monitor
Automatically tracks deprecated APIs, libraries, and language features across your codebase and alerts teams before they become critical blockers.
The Problem
Developers inherit codebases using outdated dependencies and deprecated language features, but have no centralized way to know what's aging, when it dies, or the migration priority. This debt compounds silently until a critical library is EOL or a framework drops support, forcing expensive emergency rewrites.
Target Audience
Engineering leads and architects at companies with 15-200 engineers maintaining legacy codebases (mid-market SaaS, fintech, healthcare tech). Solo devs managing multiple side projects also desperately need this.
Why Now?
AI LLMs can now auto-analyze migration guides and estimate effort to upgrade — converting raw deprecation data into actionable intelligence. Teams are finally budgeting for technical debt after post-COVID pressure eases.
What's Missing
Existing tools optimize for *security* vulnerabilities (binary: broken or not). Deprecation is a *gradual* problem requiring prioritization, migration planning, and effort estimation — skills that didn't exist before LLMs.
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