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smallcode

doorman11991/smallcode

AI coding agent optimized for small LLMs. 87% benchmark with 4B-active model.

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Automatically completes the full workflow from requirement research → research review → planning → plan review → development → development review using → test AI large language models. Capable of autonomously handling medium to large-scale engineering projects.

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a-evolve

The official repository of "Position: Agentic Evolution is the Path to Evolving LLMs".

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Caveman prompting, measured. A two-channel evaluation protocol scoring what input and output compression actually cost LLMs in dollars, accuracy, and surface-text fidelity across seven models and five benchmarks.

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