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An Anthropic engineer shares an autonomous code loop architecture that runs on a closed laptop, opening pull requests and running tests without chat prompts. The system uses a five-file folder with contract, schedule, rubrics, and state components, and a subscription window for Fable 5 reasoning loops closes on July 12.
This paper introduces LoopCoder-v2, a 7B code model that benefits most from a single rethinking loop; additional loops degrade performance, challenging the assumption that more test-time compute always helps.
LoopCoder-v2 proposes Parallel Loop Transformers (PLT) for efficient test-time computation scaling in code generation, showing that two loops yield significant gains while more loops cause diminishing returns and positional mismatch costs.