When you ask AI to debug a backend issue, what output is most useful?

We've seen a few different expectations:

- probable root cause

- likely affected files

f you had to choose one for first-class workspace-aware AI support, which would you pick first?

- Django

- Express

- Spring

One failure mode we keep noticing is the model recommending a package, module, or integration that sounds plausible but isn't really there.

The answer feels smart, but it creates even more cleanup.

Have you run into that more than generic architecture mistakes?

We've been thinking about this while shipping `@workspai` with `/ask` and `/debug` directly in the VS Code Chat panel.

A lot of AI tooling assumes one chat box is enough.

For backend work, we're not sure that's true.

Quick questions, structured debugging, and workspace-level actions often feel like different jobs.

Frontend often has visible feedback loops fast.

Backend work is different: multiple files, runtime config, infra assumptions, module boundaries, database state.

Where do current AI tools usually fail first in your backend workflow?

We're thinking a lot about team memory before launch.

Not just file context, but the repeatable rules behind a codebase: naming conventions, architecture decisions, boundaries between modules, deployment rules.

For us, the biggest gap has been architecture context.

An AI can see the file you're in, but it usually doesn't know your project structure, installed modules, naming conventions, or recent changes.

If you could make an AI tool automatically understand 3 things about your backend workspace before every answer, what would they be?

Hey! We're launching Workspai on Tuesday a VS Code extension that gives AI tools full workspace context before you type anything.

The problem we kept hitting: every AI session starts from zero. You re-explain your project, your stack, your conventions every single time.

Curious what frustrates you most about current AI dev tools. Context amnesia? Generic answers that don't match your actual project? Something else?

Would love to hear what you'd want an AI tool to actually know about your workspace.