#legacycode

Learn proven strategies for using AI and large language models to refactor legacy code safely.

OpenAI evaluated migrations of COBOL programs to C++, Java, Kotlin, Python and Rust, with the goal of preserving program behavior. GPT-6.1 Sol reached 97.9

Characterization suites usually die of bloat, not of missing cases. Hand-written tests guess at the...

Your mentee has moved teams, and the first thing they are given is the reporting service. Your...

A CLI that finds missing and stale docstrings across a legacy repo and drafts the fixes for review.

Replace a procedural PHP monolith with Laravel one route at a time. Nginx ingress, session bridging that actually works, and Eloquent on a legacy schema.

Learn how legacy systems make business growth more expensive and how edge-first modernization can...

Refactors die from scope creep. Characterization tests give you a safety net. They do not keep the...

Legacy refactors rarely fail because the new code crashes. They fail because you changed a behavior...

AI writes patches faster than humans review them. That is the new bottleneck. Diff review checks what...

AI writes tests fast. That does not mean the tests protect your refactor. A passing test can still...

You open the file. Whatever is in there looks insane. The first feeling is easy. Contempt is...