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unlegacy
document everything, from cobol to ai generated code
Every codebase becomes legacy the moment its context walks out the door. Unlegacy builds a knowledge graph from your documentation and AST — mapping every function, call, and dependency — so AI coding tools stop hallucinating, know what impacts what, and write code that actually fits your architecture. It's the context layer between your codebase and your AI.
I was working at one of the biggest banks in the world, on an AI team. I thought I'd be building the future. Instead, I spent weeks hunting down people who held tribal knowledge of systems I needed, like a corporate anthropologist with worse coffee.
The Swagger was there, technically. Sometimes it had endpoint names. What it never had: any indication of what those parameters actually meant. I needed IDs that the people who built the system didn't even understand ... turned out they were hardcoded in the frontend years ago.
So I started using AI to read the codebase. And that's when it clicked: the code has all the business rules, but it's nearly impossible to navigate. Now imagine you have perfect documentation, a perfect Swagger, everything indexed and linked. That's what I started building.
The bottleneck was never the model. It was always context. AI just made that embarrassingly obvious.
Unlegacy is what came out of that realization. It parses your codebase via AST, enriches it with your docs, and builds a knowledge graph that AI tools can actually use. Better context in, better code out.
Would love your feedback and if you've ever spent three weeks understanding a system before writing a single line of code, you know exactly why this exists.
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About unlegacy on Product Hunt
“document everything, from cobol to ai generated code”
unlegacy was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #48 on the daily leaderboard. Every codebase becomes legacy the moment its context walks out the door. Unlegacy builds a knowledge graph from your documentation and AST — mapping every function, call, and dependency — so AI coding tools stop hallucinating, know what impacts what, and write code that actually fits your architecture. It's the context layer between your codebase and your AI.
unlegacy was featured in Software Engineering (42.3k followers), Developer Tools (511.1k followers) and Artificial Intelligence (466.3k followers) on Product Hunt. Together, these topics include over 159.3k products, making this a competitive space to launch in.
Who hunted unlegacy?
unlegacy was hunted by Fabio Piemonte. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Fabio Piemonte