CodeEvolve: an open source evolutionary coding agent for algorithmic discovery and optimization
On the map: LLM agents and tool use → Software engineering coding agents
Abstract (arXiv)
We introduce CodeEvolve, an open-source framework that couples large language models with island-based evolutionary search for end-to-end algorithmic discovery. CodeEvolve integrates inspiration-based crossover, meta-prompting, and depth-based refinement on top of a CVT-MAP-Elites archive and a weighted LLM ensemble to generate optimized solutions for complex problems. On the AlphaEvolve benchmark suite, CodeEvolve matches or surpasses the reported AlphaEvolve results on 5 of 9 problems and, under matched conditions, outperforms the open-source frameworks OpenEvolve and ShinkaEvolve on 6 of 9. With the open-weight Qwen3-Coder-30B backbone, it surpasses the reported AlphaEvolve score on both CirclePackingSquare instances at roughly an order of magnitude lower cost than a frontier closed-source ensemble, and remains competitive with EoH on heuristic-design tasks without retuning. Ablations show that the interaction between CodeEvolve's components, rather than any single operator, drives these results. We release the framework, experimental data, and practical hyperparameter guidelines at https://github.com/inter-co/science-codeevolve.
Key facts. Cited by 44 papers in the map (data through 14 Oct 2026). Placed in Software engineering coding agents, one of 16 directions in LLM agents and tool use. Builds on 17 of its 58 references that are in the map. First posted on arXiv 15 Oct 2025.
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17 of 58 references.
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Other references · 16
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- 2023Self-Refine: Iterative Refinement with Self-Feedbackcited by 3,442
- 2015Illuminating search spaces by mapping elitescited by 425
- 2024ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolutioncited by 276
- 2025Small Language Models are the Future of Agentic AIcited by 270
- 2024Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Modelcited by 268
- 2023EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizerscited by 193
- 2025ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolutioncited by 174
- 2024Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffoldingcited by 117
- 2024LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating Metaheuristicscited by 97
- 2016Using Centroidal Voronoi Tessellations to Scale Up the Multi-dimensional Archive of Phenotypic Elites Algorithmcited by 66
4 more
- 2025Barbarians at the Gate: How AI is Upending Systems Researchcited by 54
- 2025EoH-S: Evolution of Heuristic Set using LLMs for Automated Heuristic Designcited by 36
- 2024How Susceptible are LLMs to Influence in Prompts?cited by 33
- 2025Can Language Models Discover Scaling Laws?cited by 13
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Citing papers per year: 2026: 44.
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- 2026EvoX: Meta-Evolution for Automated Discoverycited by 60
- 2026Structured Scaling of AI Discovery Across Diverse Scientific Domainscited by 21
- 2026Dream-RSI: Recursive Self-Improvement through Evolving Worldscited by 18
- 2026MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AIcited by 17
- 2026Effective Harness Engineering for Algorithm Discovery with Coding Agentscited by 6
- 2026Evolution Fine-Tuning: Learning to Discover Across 371 Optimization Taskscited by 6
- 2026SwarmResearch: Orchestrating Coding Agents for Open-Ended Discoverycited by 6
- 2026Automated Discovery Has No Universally Superior Harnesscited by 6
- 2026PACEvolve++: Improving Test-time Learning for Evolutionary Search Agentscited by 4
- 2026GEAR: Genetic AutoResearch for Agentic Code Evolutioncited by 4
- 2026Compute Allocation for Self-Evolving LLMs: From Depth-Breadth to Multi-Armed Banditscited by 4
- 2026TurboEvolve: Towards Fast and Robust LLM-Driven Program Evolutioncited by 3
32 more
- 2026SeaEvo: Advancing Algorithm Discovery with Strategy Space Evolutioncited by 3
- 2026FlashEvolve: Accelerating Agent Self-Evolution with Asynchronous Stage Orchestrationcited by 3
- 2026What Do Evolutionary Coding Agents Evolve?cited by 3
- 2026Agentic Architect: An Agentic AI Framework for Architecture Design Exploration and Optimizationcited by 2
- 2026Open-Ended Task Discovery via Bayesian Optimizationcited by 2
- 2026Evolving Ensemble of Agentscited by 2
- 2026Heuresis: Search Strategies for Autonomous AI Research Agents Across Quality, Diversity and Noveltycited by 2
- 2026Knowledge-Centric Self-Improvementcited by 2
- 2026Relay, Don't Route: Adaptive Population Handoff for Cost-Efficient LLM-Driven Evolutioncited by 2
- 2026Improved Upper Bounds for Slicing the Hypercubecited by 1
- 2026Autopoiesis: A Self-Evolving System Paradigm for LLM Serving Under Runtime Dynamicscited by 1
- 2026From I/O to Code with Discovery Agentcited by 1
- 2026Evolutionary Intelligence for Scientific Discovery: From Evolutionary Computation to Cumulative Discovery Systemscited by 1
- 2026The Optimizer Is the Agent: Reasoning-Driven Search across Prompts, Programs, and ML Workflowscited by 1
- 2026Stateless Language Agents: Scaling Long-Horizon Automated Researchcited by 1
- 2026ParEVO: Synthesizing Code for Irregular Data: High-Performance Parallelism through Agentic Evolutioncited by 0
- 2026Evolutionary Search for Automated Design of Uncertainty Quantification Methodscited by 0
- 2026TuxBot: Semantic-Aware Online OS Tuning with Large Language Modelscited by 0
- 2026Algorithmic algorithm development with LLMs: A Case Study on LLM-Usage for Contraction Order Optimization in Tensor Networkscited by 0
- 2026Code evolution for link prediction in complex networkscited by 0
- 2026Rehearse: Stepping Back from the Confidence Cliff in Self-Improving Autoresearchcited by 0
- 2026varepsilon-MemEvo: Adaptive Cross-Task Memory Transfer for LLM Program Evolutioncited by 0
- 2026Loreley: Repository-Scale Program Evolution with Quality-Diversity Searchcited by 0
- 2026Test-Time Scaling for Scientific Equation Discoverycited by 0
- 2026iCoder-27B: Recursive AI-Led Development of Frontier Industrial Coding Modelcited by 0
- 2026Beyond Scripted Search: Sample-Efficient Reward Discovery via Agentic Black-box Optimizationcited by 0
- 2026HeurEvo: Agentic Evolution of Hybrid Solver-Augmented Heuristics for Time-Critical Mathematical Optimizationcited by 0
- 2026EvoDuet: Bilevel Co-Evolution of Web Searching and Task Solving for Scientific Discoverycited by 0
- 2026LabBook: Harnessing Experimental History for Efficient LLM-Driven Discoverycited by 0
- 2026FrugalEvo: Towards Cost-Aware LLM-Guided Program Evolutioncited by 0
- 2026CURIO: Curiosity-Driven Test-Time Learning for Open-Ended Discoverycited by 0
- 2026EvoAlloc: A Self-Evolving Resource Allocation Agent for Efficient Program Evolutioncited by 0
- 2026EvoAlloc: A Self-Evolving Resource Allocation Agent for Efficient Program Evolution8 Oct 2026
- 2026Stateless Language Agents: Scaling Long-Horizon Automated Research6 Oct 2026
- 2026CURIO: Curiosity-Driven Test-Time Learning for Open-Ended Discovery4 Oct 2026
- 2026FrugalEvo: Towards Cost-Aware LLM-Guided Program Evolution2 Oct 2026
- 2026LabBook: Harnessing Experimental History for Efficient LLM-Driven Discovery30 Sep 2026
- 2026EvoDuet: Bilevel Co-Evolution of Web Searching and Task Solving for Scientific Discovery30 Sep 2026
- 2026HeurEvo: Agentic Evolution of Hybrid Solver-Augmented Heuristics for Time-Critical Mathematical Optimization28 Sep 2026
- 2026Beyond Scripted Search: Sample-Efficient Reward Discovery via Agentic Black-box Optimization26 Sep 2026
- 2026Dream-RSI: Recursive Self-Improvement through Evolving Worlds14 Sep 2026
- 2026iCoder-27B: Recursive AI-Led Development of Frontier Industrial Coding Model28 Aug 2026
- 2026Test-Time Scaling for Scientific Equation Discovery21 Aug 2026
- 2026Loreley: Repository-Scale Program Evolution with Quality-Diversity Search20 Aug 2026
32 more
- 2026varepsilon-MemEvo: Adaptive Cross-Task Memory Transfer for LLM Program Evolution12 Aug 2026
- 2026The Optimizer Is the Agent: Reasoning-Driven Search across Prompts, Programs, and ML Workflows7 Aug 2026
- 2026Relay, Don't Route: Adaptive Population Handoff for Cost-Efficient LLM-Driven Evolution6 Aug 2026
- 2026Rehearse: Stepping Back from the Confidence Cliff in Self-Improving Autoresearch30 Jul 2026
- 2026Knowledge-Centric Self-Improvement21 Jul 2026
- 2026Automated Discovery Has No Universally Superior Harness20 Jul 2026
- 2026Evolutionary Intelligence for Scientific Discovery: From Evolutionary Computation to Cumulative Discovery Systems10 Jul 2026
- 2026SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery2 Jul 2026
- 2026Evolution Fine-Tuning: Learning to Discover Across 371 Optimization Tasks27 Jun 2026
- 2026Heuresis: Search Strategies for Autonomous AI Research Agents Across Quality, Diversity and Novelty23 Jun 2026
- 2026Code evolution for link prediction in complex networks18 Jun 2026
- 2026Algorithmic algorithm development with LLMs: A Case Study on LLM-Usage for Contraction Order Optimization in Tensor Networks1 Jun 2026
- 2026Compute Allocation for Self-Evolving LLMs: From Depth-Breadth to Multi-Armed Bandits28 May 2026
- 2026What Do Evolutionary Coding Agents Evolve?19 May 2026
- 2026From I/O to Code with Discovery Agent14 May 2026
- 2026TuxBot: Semantic-Aware Online OS Tuning with Large Language Models14 May 2026
- 2026Effective Harness Engineering for Algorithm Discovery with Coding Agents13 May 2026
- 2026Evolving Ensemble of Agents9 May 2026
- 2026MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI9 May 2026
- 2026GEAR: Genetic AutoResearch for Agentic Code Evolution8 May 2026
- 2026FlashEvolve: Accelerating Agent Self-Evolution with Asynchronous Stage Orchestration8 May 2026
- 2026Open-Ended Task Discovery via Bayesian Optimization8 May 2026
- 2026PACEvolve++: Improving Test-time Learning for Evolutionary Search Agents7 May 2026
- 2026Agentic Architect: An Agentic AI Framework for Architecture Design Exploration and Optimization28 Apr 2026
- 2026SeaEvo: Advancing Algorithm Discovery with Strategy Space Evolution27 Apr 2026
- 2026Structured Scaling of AI Discovery Across Diverse Scientific Domains21 Apr 2026
- 2026TurboEvolve: Towards Fast and Robust LLM-Driven Program Evolution12 Apr 2026
- 2026Autopoiesis: A Self-Evolving System Paradigm for LLM Serving Under Runtime Dynamics8 Apr 2026
- 2026Evolutionary Search for Automated Design of Uncertainty Quantification Methods3 Apr 2026
- 2026ParEVO: Synthesizing Code for Irregular Data: High-Performance Parallelism through Agentic Evolution3 Mar 2026
- 2026EvoX: Meta-Evolution for Automated Discovery26 Feb 2026
- 2026Improved Upper Bounds for Slicing the Hypercube6 Feb 2026
- 2026Effective Harness Engineering for Algorithm Discovery with Coding Agentscited by 6
- 2026SwarmResearch: Orchestrating Coding Agents for Open-Ended Discoverycited by 6
- 2026PACEvolve++: Improving Test-time Learning for Evolutionary Search Agentscited by 4
- 2026GEAR: Genetic AutoResearch for Agentic Code Evolutioncited by 4
- 2026FlashEvolve: Accelerating Agent Self-Evolution with Asynchronous Stage Orchestrationcited by 3
- 2026What Do Evolutionary Coding Agents Evolve?cited by 3
- 2026Agentic Architect: An Agentic AI Framework for Architecture Design Exploration and Optimizationcited by 2
- 2026Evolving Ensemble of Agentscited by 2
- 2026Heuresis: Search Strategies for Autonomous AI Research Agents Across Quality, Diversity and Noveltycited by 2
- 2026From I/O to Code with Discovery Agentcited by 1
- 2026Stateless Language Agents: Scaling Long-Horizon Automated Researchcited by 1
- 2026ParEVO: Synthesizing Code for Irregular Data: High-Performance Parallelism through Agentic Evolutioncited by 0
12 most cited of 15 All 15 (JSON)
- 2026EvoAlloc: A Self-Evolving Resource Allocation Agent for Efficient Program Evolution8 Oct 2026
- 2026Stateless Language Agents: Scaling Long-Horizon Automated Research6 Oct 2026
- 2026HeurEvo: Agentic Evolution of Hybrid Solver-Augmented Heuristics for Time-Critical Mathematical Optimization28 Sep 2026
- 2026Beyond Scripted Search: Sample-Efficient Reward Discovery via Agentic Black-box Optimization26 Sep 2026
- 2026SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery2 Jul 2026
- 2026Heuresis: Search Strategies for Autonomous AI Research Agents Across Quality, Diversity and Novelty23 Jun 2026
- 2026What Do Evolutionary Coding Agents Evolve?19 May 2026
- 2026From I/O to Code with Discovery Agent14 May 2026
- 2026Effective Harness Engineering for Algorithm Discovery with Coding Agents13 May 2026
- 2026Evolving Ensemble of Agents9 May 2026
- 2026GEAR: Genetic AutoResearch for Agentic Code Evolution8 May 2026
- 2026FlashEvolve: Accelerating Agent Self-Evolution with Asynchronous Stage Orchestration8 May 2026
12 newest of 15 All 15 (JSON)
- 2026EvoX: Meta-Evolution for Automated Discoverycited by 60
- 2026Structured Scaling of AI Discovery Across Diverse Scientific Domainscited by 21
- 2026Dream-RSI: Recursive Self-Improvement through Evolving Worldscited by 18
- 2026MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AIcited by 17
- 2026Evolution Fine-Tuning: Learning to Discover Across 371 Optimization Taskscited by 6
- 2026Automated Discovery Has No Universally Superior Harnesscited by 6
- 2026TurboEvolve: Towards Fast and Robust LLM-Driven Program Evolutioncited by 3
- 2026SeaEvo: Advancing Algorithm Discovery with Strategy Space Evolutioncited by 3
- 2026Open-Ended Task Discovery via Bayesian Optimizationcited by 2
- 2026Relay, Don't Route: Adaptive Population Handoff for Cost-Efficient LLM-Driven Evolutioncited by 2
- 2026Improved Upper Bounds for Slicing the Hypercubecited by 1
- 2026Evolutionary Intelligence for Scientific Discovery: From Evolutionary Computation to Cumulative Discovery Systemscited by 1
12 most cited of 23 All 23 (JSON)
- 2026FrugalEvo: Towards Cost-Aware LLM-Guided Program Evolution2 Oct 2026
- 2026LabBook: Harnessing Experimental History for Efficient LLM-Driven Discovery30 Sep 2026
- 2026EvoDuet: Bilevel Co-Evolution of Web Searching and Task Solving for Scientific Discovery30 Sep 2026
- 2026Dream-RSI: Recursive Self-Improvement through Evolving Worlds14 Sep 2026
- 2026iCoder-27B: Recursive AI-Led Development of Frontier Industrial Coding Model28 Aug 2026
- 2026Loreley: Repository-Scale Program Evolution with Quality-Diversity Search20 Aug 2026
- 2026varepsilon-MemEvo: Adaptive Cross-Task Memory Transfer for LLM Program Evolution12 Aug 2026
- 2026The Optimizer Is the Agent: Reasoning-Driven Search across Prompts, Programs, and ML Workflows7 Aug 2026
- 2026Relay, Don't Route: Adaptive Population Handoff for Cost-Efficient LLM-Driven Evolution6 Aug 2026
- 2026Automated Discovery Has No Universally Superior Harness20 Jul 2026
- 2026Evolutionary Intelligence for Scientific Discovery: From Evolutionary Computation to Cumulative Discovery Systems10 Jul 2026
- 2026Evolution Fine-Tuning: Learning to Discover Across 371 Optimization Tasks27 Jun 2026
12 newest of 23 All 23 (JSON)
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- 2026CliffSearch: Structured Agentic Co-Evolution over Theory and Code for Scientific Algorithm Discovery
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