AI coding agents are getting better at writing code, but I’m not convinced they’re getting better at understanding codebases
AI coding agents are getting better at writing code, but I’m not convinced they’re getting better at understanding codebases

AI coding agents are getting better at writing code, but I’m not convinced they’re getting better at understanding codebases

AI coding agents are getting better at writing code, but I'm not convinced they're getting better at understanding codebases

I've been using Claude Code, Cursor and a few other coding agents quite a bit recently.

One thing that keeps standing out is that generating code isn't really the bottleneck anymore.

Understanding the codebase is.

Agents can usually find the relevant file.

The problems start when the change depends on:

historical decisions

undocumented relationships

ownership boundaries

files that always change together

Bigger context windows help, but I'm not sure they solve this problem completely.

Curious what people building or using coding agents think.

Is the next step bigger models and more context?

Or do agents need a better representation of the codebase itself before they can reliably work on larger projects?

Been exploring this problem while building RepoWise:

https://github.com/repowise-dev/repowise

submitted by /u/Icy-Roll-4044
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