82 lines
1.9 KiB
Markdown
82 lines
1.9 KiB
Markdown
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# Dev Team Example
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## Scenario: Review a Pull Request
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You're working on a project and want multiple AI perspectives on your code changes.
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### Start the team
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```bash
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/ai-pair dev-team my-web-app
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```
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Output:
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```
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Team ready.
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Team: my-web-app-dev
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Type: Dev Team
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Members:
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- developer: ready
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- codex-reviewer: ready
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- gemini-reviewer: ready
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Awaiting your first task.
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```
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### Assign a task
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```
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Implement rate limiting for the /api/login endpoint.
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Max 5 attempts per IP per 15 minutes.
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```
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The developer agent reads the codebase, implements the feature, and reports back.
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### Review results
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After you approve sending for review, both reviewers analyze in parallel:
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```
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## Codex Review
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### WARNING
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- Rate limit key uses only IP address. Behind a proxy, all users share one IP.
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Consider combining IP + user-agent or using X-Forwarded-For.
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- No cleanup mechanism for expired entries in the rate limit store.
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### SUGGESTION
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- Add a header (X-RateLimit-Remaining) so clients know their status.
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### Summary
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Functional implementation, but proxy scenario needs attention.
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## Gemini Review
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### Architecture Issues
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- In-memory store won't work with multiple server instances.
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Consider Redis or a shared store.
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### Design Patterns
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- Rate limiter is tightly coupled to the route handler.
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Extract as middleware for reuse on other endpoints.
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### Summary
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Works for single-instance deployment. Needs abstraction for production scale.
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```
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Notice how Codex found a **security edge case** (proxy IP sharing) while Gemini found an **architecture limitation** (single-instance only). Different dimensions, both valuable.
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### Decide
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You can say:
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- **"Revise"** — feedback gets sent to developer, loop continues
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- **"Pass"** — move to next task or end team
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- **"Revise, but only fix the proxy issue and Redis. Skip the middleware refactor for now."** — you control the scope
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### End the session
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```bash
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/ai-pair team-stop
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```
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