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AI Team Spends $20K to Build a C Compiler - Here's What Happened

When AI Engineers Itself: The $20,000 Compiler Experiment

In what reads like science fiction becoming reality, Anthropic's security researcher Nicholas Carlini recently led an unprecedented test of AI's programming capabilities. His team assembled what they jokingly call an "AI spy team" - 16 Claude agents working collaboratively with minimal human oversight.

The Digital Dream Team

The mission was ambitious: create a functional C compiler written in Rust, completely from scratch. For two weeks straight, these AI agents worked around the clock, racking up:

  • Nearly 2,000 coding sessions
  • Approximately 2 billion input tokens processed
  • A staggering $20,000 in API costs (about ¥144,000)

The investment paid off - sort of. The digital workforce produced over 100,000 lines of code that successfully compiled the Linux 6.9 kernel across x86, ARM and RISC-V architectures.

Triumphs and Troubles

While the technical achievement is undeniable, Carlini describes mixed feelings about the outcome. "There's excitement seeing what they accomplished," he admits, "but also unease about how they got there."

The AI team showed remarkable persistence - working continuously through loop instructions to solve problems autonomously. Yet without human guidance, they frequently got stuck in unproductive testing cycles. The generated code, while functional, lacked the elegance and efficiency of top human programmers.

GitHub observers noted the compiler seemed more "assembled" than truly original - pieced together from patterns in its training data rather than demonstrating genuine innovation.

What This Means for Developers

This experiment pushes boundaries in two important ways:

  1. Collaborative Potential: Proves multiple AI agents can work together on complex technical projects
  2. Safety Questions: Highlights verification challenges when software is produced automatically

As one developer commented: "It's impressive until you realize we might not fully understand how it works."

The $20,000 question remains: Is this the future of programming or just an expensive science project? Only time - and probably more experiments - will tell.

Key Points:

  • 16 AI agents built a Rust-based C compiler autonomously
  • $20,000 cost covered two weeks of intensive development
  • Successfully compiled Linux 6.9 kernel on multiple architectures
  • Revealed both potential and limitations of AI programming teams

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