{
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    "background": "Principal Product Manager at Microsoft who leads development and rollout of AI-powered tools for developer productivity, security and compliance; the post's author page says she spearheaded PRAssistant.",
    "whyCredible": "Leads the rollout of the pull request assistant she describes, so she is an insider; Microsoft sells AI tooling and the post ends by promoting GitHub Copilot, so it is promotional.",
    "linkedin": null,
    "x": null,
    "profileSource": "https://devblogs.microsoft.com/engineering-at-microsoft/enhancing-code-quality-at-scale-with-ai-powered-code-reviews/"
  },
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      "text": "Per early experiments and data science studies, 5000 repositories onboarded to AI code reviewer observed 10 – 20% median PR completion time improvements.",
      "context": null,
      "speaker": "Sneha Tuli",
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        "date": "2025-07-14",
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        "locator": "Impact on quality and velocity",
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      },
      "grade": "B",
      "gradeMeaning": "The organization's own post, paper or talk.",
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        "status": "verified",
        "meaning": "An independent second reader re-fetched the source and confirmed the wording.",
        "reviewedOn": "2026-11-04"
      },
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        "developer-productivity",
        "measuring-impact"
      ],
      "functions": [
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      "figures": [
        {
          "metric": "median-pr-completion-time-improvement-low",
          "value": 0.1,
          "unit": "share",
          "period": "early experiments, 5000 onboarded repositories",
          "definition": "Low end of the stated range of median PR completion time improvement",
          "level": "assisted"
        },
        {
          "metric": "median-pr-completion-time-improvement-high",
          "value": 0.2,
          "unit": "share",
          "period": "early experiments, 5000 onboarded repositories",
          "definition": "High end of the stated range of median PR completion time improvement",
          "level": "assisted"
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      ],
      "url": "https://the-ai-record.com/passages/microsoft-5000-repositories-onboarded-ai-code-reviewer-2025",
      "json": "https://the-ai-record.com/api/v1/passages/microsoft-5000-repositories-onboarded-ai-code-reviewer-2025.json"
    },
    {
      "id": "microsoft-ai-assistant-started-internal-experiment-scaled-2025",
      "text": "This AI Assistant started as an internal experiment and now has scaled to support over 90% of PRs across the company impacting more than 600K pull requests per month.",
      "context": null,
      "speaker": "Sneha Tuli",
      "speakerId": "sneha-tuli",
      "speakerUrl": "https://the-ai-record.com/people/sneha-tuli",
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        "title": "Enhancing Code Quality at Scale with AI-Powered Code Reviews",
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        "date": "2025-07-14",
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      },
      "grade": "B",
      "gradeMeaning": "The organization's own post, paper or talk.",
      "verification": {
        "status": "verified",
        "meaning": "An independent second reader re-fetched the source and confirmed the wording.",
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      },
      "topics": [
        "code-review",
        "adoption-and-usage"
      ],
      "functions": [
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      ],
      "figures": [
        {
          "metric": "prs-covered-share",
          "value": 0.9,
          "unit": "share",
          "period": "as of July 2025 (post date)",
          "definition": "Share of pull requests across the company the AI code review assistant supports; stated as 'over 90%'",
          "level": "assisted"
        },
        {
          "metric": "prs-per-month",
          "value": 600000,
          "unit": "pull requests per month",
          "period": "as of July 2025 (post date)",
          "definition": "Pull requests per month affected by the AI code review assistant; stated as 'more than 600K'",
          "level": "assisted"
        }
      ],
      "url": "https://the-ai-record.com/passages/microsoft-ai-assistant-started-internal-experiment-scaled-2025",
      "json": "https://the-ai-record.com/api/v1/passages/microsoft-ai-assistant-started-internal-experiment-scaled-2025.json"
    },
    {
      "id": "microsoft-goal-let-ai-handle-repetitive-2025",
      "text": "We have seen scenarios where PRs waited days and even weeks before getting merged, or where important feedback was missed. These pain points motivated us to try AI assistance in the review process. The goal was to let AI handle the repetitive or easily overlooked aspects of reviews, freeing human reviewers to focus on higher-level concerns.",
      "context": null,
      "speaker": "Sneha Tuli",
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      "aiVendor": true,
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        "title": "Enhancing Code Quality at Scale with AI-Powered Code Reviews",
        "type": "post",
        "date": "2025-07-14",
        "publisher": "Engineering@Microsoft blog",
        "locator": "Solving the real problems in PR reviews with AI",
        "url": "https://devblogs.microsoft.com/engineering-at-microsoft/enhancing-code-quality-at-scale-with-ai-powered-code-reviews/"
      },
      "grade": "B",
      "gradeMeaning": "The organization's own post, paper or talk.",
      "verification": {
        "status": "verified",
        "meaning": "An independent second reader re-fetched the source and confirmed the wording.",
        "reviewedOn": "2026-11-04"
      },
      "topics": [
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      "figures": [],
      "url": "https://the-ai-record.com/passages/microsoft-goal-let-ai-handle-repetitive-2025",
      "json": "https://the-ai-record.com/api/v1/passages/microsoft-goal-let-ai-handle-repetitive-2025.json"
    },
    {
      "id": "microsoft-suggests-code-changes-does-not-commit-2025",
      "text": "When AI suggests code changes, it does not commit them directly. The author remains in control—reviewing, editing, and deciding whether to accept the suggestion by explicitly clicking ‘apply change’ option.",
      "context": null,
      "speaker": "Sneha Tuli",
      "speakerId": "sneha-tuli",
      "speakerUrl": "https://the-ai-record.com/people/sneha-tuli",
      "speakerLevel": "leader",
      "role": "Principal Product Manager",
      "voice": "person",
      "organization": "Microsoft",
      "organizationId": "microsoft",
      "organizationUrl": "https://the-ai-record.com/organizations/microsoft",
      "aiVendor": true,
      "work": {
        "title": "Enhancing Code Quality at Scale with AI-Powered Code Reviews",
        "type": "post",
        "date": "2025-07-14",
        "publisher": "Engineering@Microsoft blog",
        "locator": "Solving the real problems in PR reviews with AI",
        "url": "https://devblogs.microsoft.com/engineering-at-microsoft/enhancing-code-quality-at-scale-with-ai-powered-code-reviews/"
      },
      "grade": "B",
      "gradeMeaning": "The organization's own post, paper or talk.",
      "verification": {
        "status": "verified",
        "meaning": "An independent second reader re-fetched the source and confirmed the wording.",
        "reviewedOn": "2026-11-04"
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      "topics": [
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      "url": "https://the-ai-record.com/passages/microsoft-suggests-code-changes-does-not-commit-2025",
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    },
    {
      "id": "microsoft-teams-customizations-specialized-reviews-historical-crash-2025",
      "text": "Teams across the company are leveraging these customizations to perform specialized reviews, like identifying regressions based on historical crash patterns or ensuring flight and change gates are in place.",
      "context": null,
      "speaker": "Sneha Tuli",
      "speakerId": "sneha-tuli",
      "speakerUrl": "https://the-ai-record.com/people/sneha-tuli",
      "speakerLevel": "leader",
      "role": "Principal Product Manager",
      "voice": "person",
      "organization": "Microsoft",
      "organizationId": "microsoft",
      "organizationUrl": "https://the-ai-record.com/organizations/microsoft",
      "aiVendor": true,
      "work": {
        "title": "Enhancing Code Quality at Scale with AI-Powered Code Reviews",
        "type": "post",
        "date": "2025-07-14",
        "publisher": "Engineering@Microsoft blog",
        "locator": "Customization: tailoring review for your team",
        "url": "https://devblogs.microsoft.com/engineering-at-microsoft/enhancing-code-quality-at-scale-with-ai-powered-code-reviews/"
      },
      "grade": "B",
      "gradeMeaning": "The organization's own post, paper or talk.",
      "verification": {
        "status": "verified",
        "meaning": "An independent second reader re-fetched the source and confirmed the wording.",
        "reviewedOn": "2026-11-04"
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      "url": "https://the-ai-record.com/passages/microsoft-teams-customizations-specialized-reviews-historical-crash-2025",
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  "reportedPassages": [],
  "notice": [
    "Every passage is reproduced word for word from the cited source.",
    "Check the verification status: \"reported\" means not yet confirmed by an independent second reader.",
    "Organizations flagged aiVendor sell AI tools or services and have a reason to publish flattering numbers.",
    "An empty result means the archive holds nothing on it, not that nobody has said anything."
  ]
}