Anthropic Researchers Use 16 Parallel Claude Agents to Build Rust-Based C Compiler
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Summary
Anthropic researcher Nicholas Carlini describes an experiment using "agent teams" - multiple Claude AI instances working in parallel on a shared codebase without human intervention. The team tasked 16 agents with writing a Rust-based C compiler from scratch capable of compiling the Linux kernel. The project required nearly 2,000 Claude Code sessions and $20,000 in API costs, resulting in a 100,000+ line codebase. This approach demonstrates how parallel AI agents can dramatically expand the scope of what's achievable with LLM agents for complex software development tasks.
Key quotes
· 5 pulledI've been experimenting with a new approach to supervising language models that we're calling 'agent teams.'
With agent teams, multiple Claude instances work in parallel on a shared codebase without active human intervention.
This approach dramatically expands the scope of what's achievable with LLM agents.
To stress test it, I tasked 16 agents with writing a Rust-based C compiler, from scratch, capable of compiling the Linux kernel.
Over nearly 2,000 Claude Code sessions and $20,000 in API costs, the agent team produced a 100,000+ line codebase.
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