Every developer using AI tools knows this pain.
You open ChatGPT or Claude, excited to solve a problem,
and the first 5 messages are just... explaining your project.
"It's a Next.js app with MongoDB..."
"The folder structure is like this..."
"We're using TypeScript and..."
By the time the AI actually understands your codebase,
you've lost your focus.
I got frustrated enough to build something about it.
What I Built
AICodeBridge is a free VS Code extension that analyzes
your project and generates a clean Markdown file with:
- Your tech stack (auto-detected)
- Project folder structure
- Key configuration files
- Recent git history
- Current errors from VS Code diagnostics
One click. Then paste into any AI tool and ask your question
directly — no explaining needed.
It Works With Everything
- GitHub Copilot (built-in, auto-attaches context)
- ChatGPT
- Claude
- Gemini
- Any AI tool via clipboard
Three Modes
Basic — quick overview for debugging questions
Tree — full file structure for architecture help
Full Code — select specific files for deep code review
Why I Built This
I'm a CS student learning Flutter and MERN stack.
I use AI tools every single day for my projects.
The constant context-switching and re-explaining was
killing my productivity. So I spent time building
a proper solution instead of a hacky workaround.
Try It
Search AICodeBridge in VS Code Extensions,
or install directly:
[https://marketplace.visualstudio.com/items?itemName=nakummeet.aibridge]
It's completely free. Would genuinely love feedback
from this community — especially what features
you'd want next.
What's the biggest pain point you have when using
AI tools for coding?
