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AI Radar
Inspiration
Modern software teams work on large codebases with multiple developers contributing simultaneously. While implementing a feature, developers often don't realize that someone else has already modified the same file or that an active pull request is changing the same area. These issues are usually discovered only during code review or merge, resulting in merge conflicts, duplicated work, and unnecessary debugging.
We wanted to solve this problem by giving developers engineering awareness before they start writing code.
What It Does
AI Radar is a VS Code extension that analyzes the currently opened file and provides engineering context in a single view.
It helps developers understand:
- Recent file changes
- Why the file changed
- Related Pull Requests
- Active contributors
- Affected engineering areas
- Risk level
- Recommended tests
- Suggested next actions
Instead of searching through Git history, GitHub, and documentation, developers get all the relevant information directly inside VS Code before making changes.
How We Built It
The extension is built using the VS Code Extension API and TypeScript.
It combines multiple sources of engineering information:
- Local Git history
- Git Blame
- Git Status
- Repository analysis
- GitHub REST API (optional)
- AI-powered engineering recommendations
The extension analyzes the active file, collects engineering signals, calculates a risk level, and presents everything through a custom VS Code WebView.
Challenges We Faced
The biggest challenge was bringing together information from multiple sources into a single, meaningful engineering view.
Some of the challenges included:
- Parsing Git history efficiently
- Github Ratelimits
Balancing useful information without overwhelming the developer was another major challenge.
What We Learned
Throughout this project we gained experience with:
- VS Code Extension Development
- Git internals and repository analysis
- GitHub REST APIs
- Engineering workflow automation
- Building developer productivity tools
- Designing AI-assisted developer experiences
Most importantly, we learned that preventing problems early is often more valuable than fixing them later.
Future Plans
We plan to extend AI Engineering Radar with:
- AI-generated engineering summaries
- Cross-file dependency analysis
- Database and API impact detection
- Branch conflict prediction
- Team collaboration insights
- Continuous background monitoring
- Marketplace release for VS Code
Our vision is to make AI Engineering Radar an intelligent engineering companion that helps developers understand their codebase before they write code, reducing merge conflicts and improving collaboration across large development teams.
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