Get the latest tech news
A messy experiment that changed how I think about AI code analysis
A messy experiment that changed how we think about AI code analysis Last week, I watched our AI choke on a React codebase - again. As timeout errors flooded my terminal, something clicked. We’d been teaching AI to read code like a fresh bootcamp grad, not a senior developer. Here’s what I mean.
Context First: We front-load system understanding before diving into code Pattern Matching: Group similar files to spot repeated approaches Impact Analysis: Consider changes in relation to the whole system Historical Understanding: Track why code evolved certain ways When to refresh vs preserve historical understanding How to handle conflicting patterns in different parts of the system Whether to expose uncertainty in the analysis Identifying tech debt before it happens Suggesting architectural improvements Catching security issues from usage patterns Understanding unwritten team conventions
Or read this on Hacker News
