mlsanityData to 7 Oct 2026

AgileCoder: Dynamic Collaborative Agents for Software Development based on Agile Methodology

arXiv 2406.11912 ↗First posted 16 Jun 2024cs.SE cs.AIcited by 45

Not on the map. Why?

Cited by 37 in LLM agents and tool use, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

Software agents have emerged as promising tools for addressing complex software engineering tasks. Existing works, on the other hand, frequently oversimplify software development workflows, despite the fact that such workflows are typically more complex in the real world. Thus, we propose AgileCoder, a multi agent system that integrates Agile Methodology (AM) into the framework. This system assigns specific AM roles - such as Product Manager, Developer, and Tester to different agents, who then collaboratively develop software based on user inputs. AgileCoder enhances development efficiency by organizing work into sprints, focusing on incrementally developing software through sprints. Additionally, we introduce Dynamic Code Graph Generator, a module that creates a Code Dependency Graph dynamically as updates are made to the codebase. This allows agents to better comprehend the codebase, leading to more precise code generation and modifications throughout the software development process. AgileCoder surpasses existing benchmarks, like ChatDev and MetaGPT, establishing a new standard and showcasing the capabilities of multi agent systems in advanced software engineering environments.

Key facts. Cited by 45 papers in the map (data through 7 Oct 2026). Builds on 51 of its 67 references that are in the map. First posted on arXiv 16 Jun 2024.

Builds on

51 of 67 references.

References · 51

  1. 2023GPT-4 Technical Reportcited by 18,132
  2. 2021Evaluating Large Language Models Trained on Codecited by 8,053
  3. 2022PaLM: Scaling Language Modeling with Pathwayscited by 5,304
  4. 2021Program Synthesis with Large Language Modelscited by 3,509
  5. 2023SWE-bench: Can Language Models Resolve Real-World GitHub Issues?cited by 3,193
  6. 2023A Survey on Large Language Model based Autonomous Agentscited by 2,203
  7. 2023Code Llama: Open Foundation Models for Codecited by 2,105
  8. 2024LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Codecited by 1,906
  9. 2023MetaGPT: Meta Programming for A Multi-Agent Collaborative Frameworkcited by 1,761
  10. 2023Improving Factuality and Reasoning in Language Models through Multiagent Debatecited by 1,739
  11. 2024SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineeringcited by 1,628
  12. 2022Competition-Level Code Generation with AlphaCodecited by 1,427
38 more
  1. 2023Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generationcited by 1,332
  2. 2020CodeBERT: A Pre-Trained Model for Programming and Natural Languagescited by 1,286
  3. 2024DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligencecited by 1,154
  4. 2023ChatDev: Communicative Agents for Software Developmentcited by 893
  5. 2021CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generationcited by 890
  6. 2021Measuring Coding Challenge Competence With APPScited by 879
  7. 2022CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesiscited by 876
  8. 2023StarCoder: may the source be with you!cited by 790
  9. 2023SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Modelscited by 787
  10. 2024Large Language Model based Multi-Agents: A Survey of Progress and Challengescited by 752
  11. 2023WizardCoder: Empowering Code Large Language Models with Evol-Instructcited by 728
  12. 2020GraphCodeBERT: Pre-training Code Representations with Data Flowcited by 600
  13. 2023AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviorscited by 580
  14. 2023Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Modelscited by 551
  15. 2024StarCoder 2 and The Stack v2: The Next Generationcited by 484
  16. 2022A Systematic Evaluation of Large Language Models of Codecited by 360
  17. 2022UniXcoder: Unified Cross-Modal Pre-training for Code Representationcited by 355
  18. 2023RepoBench: Benchmarking Repository-Level Code Auto-Completion Systemscited by 346
  19. 2023CodeT5+: Open Code Large Language Models for Code Understanding and Generationcited by 327
  20. 2023CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-Xcited by 294
  21. 2024CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challengescited by 278
  22. 2024OpenCodeInterpreter: Integrating Code Generation with Execution and Refinementcited by 242
  23. 2017A Survey of Machine Learning for Big Code and Naturalnesscited by 220
  24. 2023SantaCoder: don't reach for the stars!cited by 169
  25. 2016DeepCoder: Learning to Write Programscited by 145
  26. 2023CodePlan: Repository-level Coding using LLMs and Planningcited by 139
  27. 2024Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-stepcited by 123
  28. 2022Repository-Level Prompt Generation for Large Language Models of Codecited by 106
  29. 2024RepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generationcited by 69
  30. 2022XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligencecited by 54
  31. 2023xCodeEval: A Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and Retrievalcited by 46
  32. 2023RepoFusion: Training Code Models to Understand Your Repositorycited by 40
  33. 2023CodeTF: One-stop Transformer Library for State-of-the-art Code LLMscited by 21
  34. 2023Guiding Language Models of Code with Global Context using Monitorscited by 20
  35. 2020TreeCaps: Tree-Based Capsule Networks for Source Code Processingcited by 16
  36. 2024Stable Code Technical Reportcited by 16
  37. 2022Detect-Localize-Repair: A Unified Framework for Learning to Debug with CodeT5cited by 9
  38. 2018Hierarchical Learning of Cross-Language Mappings through Distributed Vector Representations for Codecited by 5

50 most cited of 51 All 51 (JSON)

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 3; 2025: 24; 2026: 18.

45 papers.

Sort:

By area:

  1. 2024Large Language Model-Based Agents for Software Engineering: A Surveycited by 173
  2. 2024From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Futurecited by 85
  3. 2024HyperAgent: Generalist Software Engineering Agents to Solve Coding Tasks at Scalecited by 61
  4. 2025SWE-EVO: Benchmarking Coding Agents in Long-Horizon Software Evolution Scenarioscited by 49
  5. 2025LLM Agents Making Agent Toolscited by 45
  6. 2025A Survey on the Optimization of Large Language Model-based Agentscited by 45
  7. 2025Single-agent or Multi-agent Systems? Why Not Both?cited by 28
  8. 2025ProjectEval: A Benchmark for Programming Agents Automated Evaluation on Project-Level Code Generationcited by 26
  9. 2025SWE-Synth: Synthesizing Verifiable Bug-Fix Data to Enable Large Language Models in Resolving Real-World Bugscited by 22
  10. 2025Large Language Model-based Data Science Agent: A Surveycited by 22
  11. 2026CooperBench: Why Coding Agents Cannot be Your Teammates Yetcited by 20
  12. 2025A Comprehensive Survey on Benchmarks and Solutions in Software Engineering of LLM-Empowered Agentic Systemcited by 15
33 more
  1. 2025From Code Foundation Models to Agents and Applications: A Comprehensive Survey and Practical Guide to Code Intelligencecited by 13
  2. 2025Agentic AI Systems Applied to tasks in Financial Services: Modeling and model risk management crewscited by 12
  3. 2026Effective Strategies for Asynchronous Software Engineering Agentscited by 12
  4. 2025A Comprehensive Empirical Evaluation of Agent Frameworks on Code-centric Software Engineering Taskscited by 7
  5. 2025Hierarchical Repository-Level Code Summarization for Business Applications Using Local LLMscited by 6
  6. 2025An LLM-based multi-agent framework for agile effort estimationcited by 6
  7. 2025Towards Realistic Project-Level Code Generation via Multi-Agent Collaboration and Semantic Architecture Modelingcited by 6
  8. 2026Agentic AI in the Software Development Lifecycle: Architecture, Empirical Evidence, and the Reshaping of Software Engineeringcited by 6
  9. 2025Benchmarking and Studying the LLM-based Agent System in End-to-End Software Developmentcited by 5
  10. 2025Knowledge Graph Based Repository-Level Code Generationcited by 4
  11. 2025Code Reasoning for Software Engineering Tasks: A Survey and A Call to Actioncited by 4
  12. 2025Cognitive Agents Powered by Large Language Models for Agile Software Project Managementcited by 4
  13. 2026Your Code Agent Can Grow Alongside You with Structured Memorycited by 4
  14. 2026Agentic AI in Industry: Adoption Level and Deployment Barrierscited by 3
  15. 2026Agentic Coding Needs Proactivity, Not Just Autonomycited by 2
  16. 2025TREAT: A Code LLMs Trustworthiness / Reliability Evaluation and Testing Frameworkcited by 1
  17. 2025A Research Roadmap for Augmenting Software Engineering Processes and Software Products with Generative AIcited by 1
  18. 2025Towards Iterative End-to-End Software Development: A Feature-Driven Multi-Agent Frameworkcited by 1
  19. 2026Compiling Large Multi-Modal Requirement Documents into Runnable Software Systems: From an Agentic Test-Driven Perspectivecited by 1
  20. 2026A-ProS: Towards Reliable Autonomous Programming Through Multi-Model Feedbackcited by 1
  21. 2026What Do Agents Communicate? Characterizing Information Exchange in Multi-Agent Systemscited by 1
  22. 2026An Evaluation of Role-Based Multi-Agent Code Generation on Repository-Scale Problemscited by 1
  23. 2025Automated detection of atomicity violations in large-scale systemscited by 0
  24. 2025FurniMAS: Language-Guided Furniture Decoration using Multi-Agent Systemcited by 0
  25. 2025AI4Reading: Chinese Audiobook Interpretation System Based on Multi-Agent Collaborationcited by 0
  26. 2026TheBotCompany: Self-Organizing Multi-agent Systems for Continuous Software Developmentcited by 0
  27. 2026Fairness in Multi-Agent Systems for Software Engineering: An SDLC-Oriented Rapid Reviewcited by 0
  28. 2026Documentation-Guided Agentic Codebase Migration from C to Rustcited by 0
  29. 2026Multi-Agent LLM Collaboration for Unit Test Generation via Human-Testing-Inspired Workflowscited by 0
  30. 2026Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysiscited by 0
  31. 2026AgentRoom: Concurrent Multi-Agent Coding in a CRDT-Backed Shared Workspacecited by 0
  32. 2026From SQL to Knowledge Graphs: An LLM-Driven Multi-Agent Approach with Data Schema Improvementcited by 0
  33. 2026Understanding Issues, Causes and Solutions in Open-Source LLM-based Multi-Agent Systemscited by 0