Overview

Multi-agent coding studies whether AI systems can solve programming tasks more reliably by dividing work among agents with roles such as planner, coder, tester, and reviewer. Common approaches include dependency-aware task decomposition, adaptive communication topologies, shared workspaces, and feedback from tests, compilers, or runtime tools. Systems are evaluated on settings ranging from competitive-programming benchmarks to repository-level bug fixing and code editing. A central tension is that collaboration can improve correctness and speed, but extra agents also add cost and can introduce conflicts, duplicated work, or errors that pass between agents.

Latest papers

CardsList

86 papers17 papers in the last four weeks, up 113% on the four weeks before. 0.1% of all new papers.

  1. SWE-Edit: Rethinking Code Editing for Efficient SWE-Agent

    Apr 28, 2026Yikai Zhang, Jiaxin Pei, Kenan Li +9AI Coding AgentsMulti-Agent Coding

  2. SAFEdit: Does Multi-Agent Decomposition Resolve the Reliability Challenges of Instructed Code Editing?

    Apr 28, 2026Noam Tarshish, Nofar Selouk, Daniel Hodisan +4Execution-Guided Code GenerationMulti-Agent Coding

  3. CollabCoder: Plan-Code Co-Evolution via Collaborative Decision-Making for Efficient Code Generation

    Apr 15, 2026Duy Tung Doan, Quang Huy Phung, Dzung Nguyen +1Code GenerationAgentic Code Generation

  4. AgentForge: Execution-Grounded Multi-Agent LLM Framework for Autonomous Software Engineering

    Apr 13, 2026Rajesh Kumar, Waqar Ali, Junaid Ahmed +2Software Engineering AgentsMulti-Agent Coding

  5. Credit-Budgeted ICPC-Style Coding: When Agents Must Pay for Every Decision

    Apr 11, 2026Lingfeng Zhou, Junhao Shi, Jin Gao +1Software Engineering AgentsAI Agent Benchmarks

  6. Enhancing LLM Problem Solving via Tutor-Student Multi-Agent Interaction

    Apr 10, 2026Nurullah Eymen Özdemir, Erhan OztopMulti-Agent LLM SystemsLLM Agents

  7. ReCodeAgent: A Multi-agent Workflow for Language-Agnostic Translation and Validation of Large-Scale Repositories

    Apr 8, 2026Ali Reza Ibrahimzada, Brandon Paulsen, Daniel Kroening +1Code TranslationSoftware Engineering Agents

  8. A Multi-agent AI System for Deep Learning Model Migration from TensorFlow to JAX

    Mar 28, 2026Stoyan Nikolov, Bernhard Konrad, Moritz Gronbach +5AI Coding AgentsMulti-Agent Coding

  9. The Specification Gap: Coordination Failure Under Partial Knowledge in Code Agents

    Mar 25, 2026Camilo Chacón SartoriMulti-Agent CodingMulti-Agent Coordination

  10. SEMAG: Self-Evolutionary Multi-Agent Code Generation

    Mar 16, 2026Yulin Peng, Haowen Hou, Xinxin Zhu +2Agentic Code GenerationLLM Code Generation

  11. Coding with Eyes: Visual Feedback Unlocks Reliable GUI Code Generating and Debugging

    Mar 14, 2026Zhilin Liu, Ye Huang, Ting Xie +3Code GenerationCode Generation Benchmarks

  12. AI-for-Science Low-code Platform with Bayesian Adversarial Multi-Agent Framework

    Mar 3, 2026Zihang Zeng, Jiaquan Zhang, Pengze Li +2Scientific Code GenerationAI for Science

  13. AgentConductor: Topology Evolution for Multi-Agent Competition-Level Code Generation

    Feb 19, 2026Siyu Wang, Ruotian Lu, Zhihao Yang +7LLM Agent Workflow OptimizationMulti-Agent Coding

  14. Declarative by Design, Assistable Only by Convention: Benchmarking Multi-Agent Frameworks for AI-Assistability

    Feb 3, 2026Shafiuddin Rehan Ahmed, Sourabh DeshpandeAI Agent BenchmarksCode Generation Evaluation

  15. Re4: Scientific Computing Agent with Rewriting, Resolution, Review and Revision

    Aug 28, 2025Ao Cheng, Lei Zhang, Guowei HeScientific Code GenerationExecution-Guided Code Generation