Part 1 is here. In short: I wanted AI to make money for me, got told to use my eleven years of...
Developer launches AI-LMC testing legacy modernization via AI using fictional 2008 app with historical context. Test measures if AI recovers historical decisions behind code beyond syntax — critical for reliability in mission-critical modernization.
Puyun
Posted on Sep 9
AI-assisted
Part 1 is here. In short: I wanted AI to make money for me, got told to use my eleven years of line-of-business experience, landed on legacy modernization — and then wondered whether AI can actually recover the things that were never written down anywhere.
Fine, let's test it
I want to make money with AI. Ideally, easy money. To put it more precisely: I want to hand as...
I wanted to know whether AI can understand legacy code. Not compile it. Understand it. The problem:...
A real story about adding AI features, realizing the architecture broke the product's core promise, and replacing the API calls…
I spent a chunk of last year around legacy modernization work — the kind of project where a bank or...
AI can finally read 25-year-old codebases. But daily AI coding is quietly creating a new kind of legacy code, faster than ever.
Six months ago I started running every non-trivial piece of code through AI before it shipped. Not...
