mlsanityData to 14 Oct 2026

Human-In-The-Loop Software Development Agents: Challenges and Future Directions

arXiv 2506.11009 ↗First posted 25 Apr 2025cs.SEcited by 3

On the map: LLM agents and tool use → Software engineering coding agents

Abstract (arXiv)

Multi-agent LLM-driven systems for software development are rapidly gaining traction, offering new opportunities to enhance productivity. At Atlassian, we deployed Human-in-the-Loop Software Development Agents to resolve Jira work items and evaluated the generated code quality using functional correctness testing and GPT-based similarity scoring. This paper highlights two major challenges: the high computational costs of unit testing and the variability in LLM-based evaluations. We also propose future research directions to improve evaluation frameworks for Human-In-The-Loop software development tools.

Key facts. Cited by 3 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 5 of its 6 references that are in the map. First posted on arXiv 25 Apr 2025.

Builds on

5 of 6 references.

Closest ancestors · 1

Same direction, newest first

  1. 2024Human-In-the-Loop Software Development Agents19 Nov

Other references · 4

  1. 2023SWE-bench: Can Language Models Resolve Real-World GitHub Issues?cited by 3,373
  2. 2022ReCode: Robustness Evaluation of Code Generation Modelscited by 103
  3. 2024CodeJudge: Evaluating Code Generation with Large Language Modelscited by 44
  4. 2023Automating the Correctness Assessment of AI-generated Code for Security Contextscited by 6

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 3.

3 papers.

Similar, not cited

Close in wording, no citation either way

  1. 2024CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology
  2. 2026CodeTaste: Can LLMs Generate Human-Level Code Refactorings?
  3. 2026From Helpful to Trustworthy: LLM Agents for Pair Programming
  4. 2026Reliable and Developer-Aligned Evaluation of Agents for Software Engineering
  5. 2026CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows
  6. 2026Human-Agent versus Human Pull Requests: A Testing-Focused Characterization and Comparison
  7. 2025A Survey on Code Generation with LLM-based Agents
  8. 2026TheBotCompany: Self-Organizing Multi-agent Systems for Continuous Software Development