Overview

AI coding agents study how language models can work with repositories and development tools to carry out tasks such as fixing bugs, adding features, and building software. Common approaches combine planning and tool use with repository search, structured code editing, reusable skills or memory, and feedback from tests or execution. Benchmarks such as SWE-bench and Terminal-Bench measure issue resolution and command-line work, while newer evaluations test long-running, multi-file changes and behavior in real applications. Agents can solve many coding tasks, but success varies with the model, harness, and task; passing functional tests still does not guarantee secure, maintainable, or specification-faithful software, so reliable verification and effective human oversight remain open challenges.

Latest papers

CardsList

329 papers62 papers in the last four weeks, up 130% on the four weeks before. 0.4% of all new papers.

  1. AblateCell: A Reproduce-then-Ablate Agent for Virtual Cell Repositories

    Apr 21, 2026Xue Xia, Chengkai Yao, Mingyu Tsoi +10AI Coding AgentsML Reproducibility

  2. HiveMind: OS-Inspired Scheduling for Concurrent LLM Agent Workloads

    Apr 18, 2026Justice Owusu Agyemang, Jerry John Kponyo, Obed Kwasi Somuah +3LLM Inference EfficiencyAI Coding Agents

  3. From Clinical Intent to Clinical Model: Autonomous Coding-Agents for Clinician-driven AI Development

    Apr 18, 2026Zihao Zhao, Frederik Hauke, Juliana De Castilhos +4AI Coding AgentsAgentic Code Generation

  4. Scaling Test-Time Compute for Agentic Coding

    Apr 16, 2026Joongwon Kim, Wannan Yang, Kelvin Niu +13AI Coding AgentsTest-Time Scaling

  5. Dive into Claude Code: The Design Space of Today's and Future AI Agent Systems

    Apr 14, 2026Jiacheng Liu, Xiaohan Zhao, Xinyi Shang +1AI Coding AgentsLLM Agent Orchestration

  6. Local-Splitter: A Measurement Study of Seven Tactics for Reducing Cloud LLM Token Usage on Coding-Agent Workloads

    Apr 14, 2026Justice Owusu Agyemang, Jerry John Kponyo, Elliot Amponsah +2LLM Agent Workflow OptimizationLLM Inference Efficiency

  7. CodeTracer: Towards Traceable Agent States

    Apr 13, 2026Han Li, Yifan Yao, Letian Zhu +13AI Coding AgentsAgent Trajectory Analysis

  8. Resilient Write: A Six-Layer Durable Write Surface for LLM Coding Agents

    Apr 12, 2026Justice Owusu Agyemang, Jerry John Kponyo, Elliot Amponsah +2LLM Agent ReliabilityAI Coding Agents

  9. Beyond Functional Correctness: Design Issues in AI IDE-Generated Large-Scale Projects

    Apr 7, 2026Syed Mohammad Kashif, Ruiyin Li, Peng Liang +4Software EngineeringAI Coding Agents

  10. CODESTRUCT: Code Agents over Structured Action Spaces

    Apr 7, 2026Myeongsoo Kim, Joe Hsu, Dingmin Wang +3AI Coding AgentsCode Generation

  11. Architecture Without Architects: How AI Coding Agents Shape Software Architecture

    Apr 5, 2026Phongsakon Mark Konrad, Tim Lukas Adam, Riccardo Terrenzi +1Software Architecture DesignAI Coding Agents

  12. Measuring the Permission Gate: A Stress-Test Evaluation of Claude Code's Auto Mode

    Apr 4, 2026Zimo Ji, Zongjie Li, Pingchuan Ma +3AI Agent SecurityTool-Use Authorization

  13. Agent psychometrics: Task-level performance prediction in agentic coding benchmarks

    Apr 1, 2026Chris Ge, Daria Kryvosheieva, Daniel Fried +2LLM Agent EvaluationAI Agent Evaluation

  14. Needle in the Repo: A Benchmark for Maintainability in AI-Generated Repository Edits

    Mar 29, 2026Haichao Zhu, Qian Zhang, Jiyuan Wang +2Software EngineeringAI Coding Agents

  15. KAT-Coder-V2 Technical Report

    Mar 29, 2026Fengxiang Li, Han Zhang, Haoyang Huang +43AI Coding AgentsAgentic Code Generation

  16. Safer Builders, Risky Maintainers: A Comparative Study of Breaking Changes in Human vs Agentic PRs

    Mar 29, 2026K M Ferdous, Dipayan Banik, Kowshik Chowdhury +1AI Coding AgentsLLM Agent Reliability

  17. 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

  18. Codebase-Memory: Tree-Sitter-Based Knowledge Graphs for LLM Code Exploration via MCP

    Mar 28, 2026Martin Vogel, Falk Meyer-Eschenbach, Severin Kohler +2AI Coding AgentsGraph-Based Agent Memory

  19. Ask or Assume? Uncertainty-Aware Clarification-Seeking in Coding Agents

    Mar 27, 2026Nicholas Edwards, Sebastian SchusterMulti-Agent LLM SystemsAI Coding Agents