ASI-LIB-013 28 May 2026 technical open-source code

CodeEvolve: Open-Source Evolutionary Coding Agent for Algorithmic Discovery

Henrique Assumpcao, Diego Ferreira, Leandro Campos, Fabricio Murai

Figure via ar5iv rendering of arXiv:2510.14150

CodeEvolve is important because it is a public implementation of the AlphaEvolve-style thesis: when a problem can be scored automatically, a coding agent can search the program space and retain improvements.

Technical shape

The framework uses an island-based evolutionary search over candidate programs, LLM-generated mutations, crossover, meta-prompting, refinement, and a structured archive. The paper reports competitive results on AlphaEvolve-style benchmark tasks under matched conditions.

Build note

This is a practical starting point for ASI-adjacent experimentation because it replaces vague “AI creativity” with a measurable loop: propose code, execute tests, score the output, and keep only improvements.