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Source note2 min read

Early Adoption of Agentic Coding Tools by GitHub Projects

Source

arXiv

arxiv.org/abs/2607.14037v1

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Source

Plain-Language Brief

The paper investigates the adoption and management of agentic coding tools in GitHub projects. It reveals that while some projects have intensive adoption, most generate only a few agentic pull requests per three months. Small projects exhibit higher participation rates compared to larger ones. The study also finds that single-human oversight models are common for human-agent collaboration and that multi-human collaboration patterns are rare.

What the Document Says

  • Agentic coding tools generate pull requests (PRs) in software development projects on GitHub.
  • Study analyzes 25,264 agentic PRs from 2,361 popular GitHub repositories.
  • Median repository generates 1-2 agentic PRs over a three-month period.
  • Intensive adoption is concentrated in a small subset of projects.
  • Small projects (1-5 contributors) have higher participation ratios and average levels of agentic PR activity.
  • Project-level agentic PR productivity varies significantly, with some exceeding industry estimates and others remaining below.
  • Human-agent collaboration is dominated by a single-human oversight model.
  • Multi-human collaboration patterns are uncommon.

Key Concepts Mentioned

  • Agentic coding tools
  • Pull requests (PRs)
  • Software development
  • GitHub projects
  • Adoption
  • Productivity
  • Human-agent collaboration

Claims Made by the Document

  • Intensive adoption of agentic coding tools is concentrated in a small subset of GitHub projects.
  • Small GitHub projects exhibit higher participation rates compared to larger ones.
  • Project-level agentic PR productivity varies significantly.

Evidence Used

  • Analysis of 25,264 agentic PRs from 2,361 popular GitHub repositories

Methods / Approach

UNKNOWN

Limitations Stated by the Authors

UNKNOWN

Limitations Noted by the Agent

Agent interpretation — not from the source.

UNKNOWN

Open Questions

UNKNOWN

Notes for Future Q&A

May include interpretation. Labeled where it does.

UNKNOWN

Raw Abstract / Excerpt

Agentic coding tools are increasingly capable of generating and submitting pull requests (PRs) to software projects, introducing new forms of human-agent collaboration in software development. While prior studies have examined PR-level outcomes of agent-generated contributions, less is known about how agentic coding tools are adopted and managed at the project level. In this paper, we analyze 25,264 agentic PRs from 2,361 popular GitHub repositories to investigate (1) the adoption of agentic coding tools, (2) project-level agentic PR productivity, and (3) human-agent collaboration patterns. Our results show that the median repository generates only one to two agentic PRs during a three-month period, indicating that intensive adoption remains concentrated in a small subset of projects. At the same time, small projects (1-5 contributors) exhibit higher participation ratios and average levels of agentic PR activity than medium-sized and large projects. We also observe substantial variation in project-level agentic PR productivity. While a small number of projects exceed an industry-reported estimate of 36 PRs per participant during the three-month observation period, most projects remain below this threshold. Finally, human-agent collaboration is dominated by a single-human oversight model, in which one developer reviews and/or modifies the agent's contributions, while multi-human collaboration patterns remain uncommon. These findings provide early empirical evidence on how open-source projects organize human oversight around agentic coding tools and suggest that successful integration of agent-generated contributions depends not only on advances in agent capabilities but also on the human and organizational processes that govern their use. Because this study captures an early snapshot of agent adoption, future work should continue to track how adoption patterns evolve over time.