Network Requests Optimization using Xcode's Simulator & Agents
Article Summary
Antoine van der Lee reveals how combining AI agents with continuous network monitoring caught bugs he'd been missing for years. The secret? Stop opening proxies only when you need them.
Traditional network debugging with Charles Proxy or similar tools only runs when you remember to launch them, missing race conditions and intermittent failures. Van der Lee built an always-on solution in RocketSim that monitors network traffic continuously in the background, then exports structured data that AI agents can analyze for performance wins.
Key Takeaways
- Always-on monitoring catches race conditions that traditional proxies miss
- Token-optimized exports feed AI agents minimal, structured network data
- Smart fingerprinting helps agents detect duplicate requests and caching opportunities
- Agents suggest actual code fixes by combining network data with your codebase
- RocketSim used by 80K+ developers with 30+ productivity features
Continuous network monitoring plus AI analysis finds performance issues and suggests code-level fixes that manual debugging misses.
About This Article
Developers often can't see what's happening with their network requests in real time, so they miss the redundancy and bloat that's hurting performance. Antoine van der Lee found that 24 requests across 19 endpoints frequently include duplicate calls and oversized payloads that drain battery life and slow things down for users.
RocketSim's Network Monitor gives you structured network data that's optimized for tokens and uses smart fingerprinting. This makes it easy for AI agents like Cursor to spot request patterns, find duplicate endpoints, and catch overfetching without having to manually inspect every payload.
When you combine RocketSim's continuous network monitoring with AI analysis, you can find the exact places in your code where caching would help or where you're making duplicate requests. That means you can fix performance problems with precision instead of trial and error.