RepoScope

Inspiration

RepoScope started from a real problem I had while building AI developer tools.

I was building a multi-agent engineering review system where different AI reviewers could inspect a project from different perspectives: senior engineering, security, performance, and product. Technically, the system worked, but when I gave it to a friend to try, he became confused at almost every step.

That made me realize the problem was not only UI. It was UX.

The app was exposing how the system worked internally: agents, rounds, artifacts, consensus, token budgets, and activity logs. But a normal developer does not want to manage an AI debate. They want to know:

“What is wrong with my repo?” “What should I fix first?” “How can I use this result in my coding workflow?”

That is what pushed me to turn the project into RepoScope: a GitHub repo review tool that hides the internal complexity and gives users a clean engineering report.

What it does

RepoScope lets a user paste a public GitHub repository and run an AI-powered engineering review.

It checks the repo for things like:

bugs and edge cases
security risks
production-readiness blockers
architecture problems
performance concerns
missing operational requirements

The output is not just a long AI chat. RepoScope creates a structured report with prioritized findings, severity levels, suggested fixes, assumptions, open questions, and copy-ready tasks that can be used with coding agents like Kiro, Cursor, Codex, or Claude Code.

The current user flow is simple:

paste repo → analyze → read report → copy/export fixes

How I built it

I built RepoScope as a full-stack Next.js and TypeScript app.

The backend uses a structured multi-agent review pipeline powered by Qwen through the DashScope OpenAI-compatible API. Each reviewer looks at the repository from a different engineering perspective. The system fetches GitHub repo files, selects high-signal files, runs the review, tracks token usage, stores events and findings, and synthesizes a final Markdown report.

I also built a report-first UI so users do not have to understand the internal agent workflow. The normal view shows an Overview, Findings, and Next Steps. The technical activity is still available, but hidden for advanced users.

Challenges

The biggest challenge was turning raw AI reasoning into a useful product.

At first, the app produced too much internal output. It exposed agents, debate rounds, artifacts, and consensus directly in the UI. It also asked too many clarification questions, which made the product feel stuck instead of helpful.

Then I dogfooded the product by using RepoScope to analyze RepoScope itself. That exposed another problem: the review could generate too many findings and spend too many tokens. One early report produced far too much output, so I added stricter limits, report synthesis, deduplication, open questions, assumptions, and a cleaner export format.

Another challenge was deciding what should be shown to the user and what should stay hidden. The AI system can generate a lot of useful reasoning, but the user only needs the final decision: what matters, why it matters, and what to fix next.

What I learned

I learned that building an AI product is not just about connecting a model to an app.

The hard part is product design: reducing complexity, controlling cost, building trust, and turning AI output into something actionable.

I also learned that a technically impressive AI workflow can still fail if the user does not understand what to do next. RepoScope became much better when I stopped presenting it as an “AI agent debate system” and started presenting it as a repo review tool.

What's next

Next, I want to make RepoScope faster and cheaper by adding a default fast-review mode, better file selection, stronger evidence grounding, and lower token usage.

I also want to add GitHub OAuth, private repository support, better user/session ownership, and team-friendly exports so small teams, hackathon builders, and indie developers can use RepoScope before shipping their projects.

📌There has been little problem with https so use http for now, to acess the webapp