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AI at work

Microsoft's GitHub said AI agents wrote first drafts of over 40% of code change requests in September. In March it was 17%.

Microsoft-owned GitHub said in its yearly Octoverse report that by September more than 40% of pull requests, the proposed code changes developers submit for review, started with a draft from an AI agent.

ERP LEADERS news desk · · First reported by The Next Web · Edition no. 53
Photo: Jiaqian AirplaneFan/Wikimedia, CC BY 3.0 · original

In March the share was 17%. September alone brought 110 million of them, The Next Web reported.

GitHub says its count is a floor because it cannot detect every agent.

Developers pushed code 17.9 billion times in the 12 months to 30 September, more than in 2024 and 2025 combined.

GitHub also changed how it charges. From Wednesday, GitHub Enterprise customers can use every Copilot feature without a separate subscription and pay for the AI credits they use. It added a new AI code review tool on the same day.

The report does not say how many agent drafts were accepted, or how much review time they took. For teams that look after custom code, those are the numbers that matter.

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Companies in this story
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Our file on Microsoft

  1. 30 Oct

    Microsoft is borrowing at least $25 billion, Bloomberg reported. Its CFO says cloud demand still exceeds what Microsoft can supply.

  2. 30 Oct

    OpenAI's Codex and Microsoft's VS Code are still unpatched, researchers say. They found security flaws in five AI coding tools.

  3. 29 Oct

    Microsoft says Canada Goose cut its month-end close to five days from eight. It had used old software and Excel.

  4. 29 Oct

    Microsoft said Copilot users grew 50% quarter on quarter. CIOs still owe finance a justification for each paid seat.

  5. 27 Oct

    Warwickshire approved a Microsoft renewal worth about £9m in principle. It still has to find the extra £375,000 a year.

All 62 Microsoft stories

For your next steering committee

Questions for your own programme. They are not findings about any company in this story.

  1. 1Ask which AI tools already touch your ERP or finance data, including the ones nobody approved.
  2. 2Ask what each tool is allowed to change, and who reviews what it changed.
  3. 3Ask how the result is measured, and who decides to switch a tool off.

Issue 01 of the ERP LEADERS brief puts a timeline, the three-number review and six questions on one page. Read issue 01

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