The Delegate Pattern: Run Claude Code + Codex + Gemini in Parallel — Zero-Cost Rate Limit Bypass for Multi-Agent AI
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Why I Built This The motivation was simple: AI stops. Frequently. When running large tasks with Claude Code, you hit Anthropic's rate limits fast. When you add more sub-agents to run in parallel, Claude's own context gets polluted and performance degrades. I also tried a real-time message bus (agmsg). Multiple CLI windows throwing messages caused confusion. SSE connections dropped, losing notifications. Infrastructure maintenance cost was too high. Then it hit me: concentrating everything in…
1Key Takeaways
- Why I Built This The motivation was simple: AI stops.
- When running large tasks with Claude Code, you hit Anthropic's rate limits fast.
- When you add more sub-agents to run in parallel, Claude's own context gets polluted and performance degrades.
- I also tried a real-time message bus (agmsg).
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — AI reports that why I Built This The motivation was simple: AI stops.
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