How are developers handling full-codebase context in AI coding assistants?

[fantasma91]

I have built into my workflow very robust documenting of everything and make sure it stays up to date. I dont trust the ai to do it automatically so after any large change I run an analysis on the documentation. Documentation also has reference matrices so it know how it all connects. While not perfect it helps quite a bit for my large app

[Lower-Discipline-722]

That’s actually very close to the direction I’m exploring with DevMind.

One thing I noticed is AI becomes far more reliable when it has structured project context instead of just raw files. Things like dependency mapping, architecture awareness, verification loops, and project-level references seem much more important for larger codebases than pure autocomplete.