What happens when Claude Code gets an experiment tracker

At the CVPR 2026 conference, Lambda demonstrated the capabilities of an autonomous agent, Claude Code, in teaching Google's Gemma 4 model to play a Tetris-like game using the_lab.api, an experiment-tracking API. Over two and a half days, Claude Code conducted 468 experiments without human intervention, iterating through various configurations and optimizing the model's performance, ultimately improving from an initial score of zero to a peak score of 16. The_lab.api facilitated the process by enabling structured experiment tracking and providing a leaderboard for assessing the effectiveness of different strategies, which allowed the agent to build on successful attempts and avoid repeating failures. This demo showcased the potential of agent-driven research to utilize idle computational resources efficiently, with the entire experiment incurring minimal costs by leveraging spare GPU capacity. The open-source nature of the_lab.api suggests a future where agentic AI can autonomously perform hypothesis-driven experimentation to fill idle GPU time, pushing the boundaries of AI development and infrastructure.