Original Summary

Quick Summary: Did you ever optimize a legacy&#x2F;vibe-coded codebase to improve AI driven development results and avoid fixing a bug for 2 more to appear? i want to hear what your experience was.<p>First, some context. ~7 months ago i was the first Engineering hire at a ( now ) 2 years old startup. The codebase started as a Lovable MVP built by our low level CTO, one month ago we hired a second dev and we are further expanding our engineering team and preparing the terrain for me to move to Staff. Now as you probably expected, the codebase is a mess since we simply built on top of the first MVP, of course with zero documentation, the main problems i identified in our codebase: - Duplicated business logic → no single source of truth &#x2F; poor separation of concerns. - Zombie tables and columns → accumulated schema&#x2F;structural debt, most of them look right, they are not - We manually track downstream effects since everything is scattered and duplicated in the most confusing way → implicit dependencies, implicit architecture and high change coupling. Changing a thing here also needs changing there and there ( this is mainly fixable by a codebase graph indexer )<p>Now quickly, so you dont get bored, ive identified as the sweet spot solution between speed and reliability to properly document the whole codebase and store that efficiently as a &#x27;knowledge database&#x27; for our AI agents, so they are at least aware of the known gaps, constraints, decisions, business logic, where else to change something and the causes and effects of changes.<p>The closest and most interesting article that treats this exact issue is this one from Meta, which i want to start my approach from.<p>Now what im asking here is for some similar experiences, other startup engineers that had to go through a similar approach, what was their approach, experience, outcome and any tips on what should i avoid or be aware of.<p>Any help will be much appreciated

  • 情报分类：商业与市场研究
  • 分类依据：内容涉及商业、投资或市场动态
  • 信息来源：Hacker News 新项目
  • 发布时间：2026/9/14 23:00:32