{
  "apiVersion": "v1",
  "topic": {
    "id": "measuring-impact",
    "title": "How do organizations measure AI's impact?",
    "summary": "The metrics organizations use to judge whether AI is working.",
    "group": "Running AI in an organization",
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      "metrics",
      "measurement",
      "roi"
    ]
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      "text": "When Account Executives use Kai, they produce 2x the sales activity, create 17% more opportunities, generate 26% more revenue opportunities, and close 39% more deals when compared to the same sellers in weeks they don't use it.",
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      "role": "Engineering manager, Agent Foundation team",
      "organization": "Stripe",
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      "work": {
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          "level": "n/a"
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        {
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          "definition": "opportunities created: account executives in weeks they use Kai (Stripe's internal knowledge AI platform) vs the same sellers in weeks they don't",
          "level": "n/a"
        },
        {
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          "unit": "share",
          "period": "account executives' weeks using Kai vs the same sellers' weeks without it, as of 2026-07",
          "definition": "revenue opportunities generated: account executives in weeks they use Kai (Stripe's internal knowledge AI platform) vs the same sellers in weeks they don't",
          "level": "n/a"
        },
        {
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          "period": "account executives' weeks using Kai vs the same sellers' weeks without it, as of 2026-07",
          "definition": "deals closed: account executives in weeks they use Kai (Stripe's internal knowledge AI platform) vs the same sellers in weeks they don't",
          "level": "n/a"
        }
      ],
      "context": null,
      "url": "https://the-ai-record.com/passages/stripe-when-account-executives-use-kai-they-produce-2026"
    },
    {
      "id": "tessl-human-touches-metric-agent-right-thing-2026",
      "text": "One is you start measuring how many human touches you still do to have the agent do the right thing. That's supposed to go down.",
      "speaker": "Patrick Debois",
      "role": "Product DevRel Lead",
      "organization": "Tessl",
      "aiVendor": true,
      "work": {
        "title": "Coding Agents Don't Scale Themselves. Neither Do Your Teams. The Rise of Agent Enablement",
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      "context": "Debois names the first of two metrics he has come to believe in for judging how productive a team is with coding agents.",
      "url": "https://the-ai-record.com/passages/tessl-human-touches-metric-agent-right-thing-2026"
    },
    {
      "id": "airbnb-its-not-about-how-many-tokens-you-2026",
      "text": "it's not about how many tokens you use, it's about the throughput of your product and the quality of your product designs and how much you're shipping.",
      "speaker": "Brian Chesky",
      "role": "Co-founder and Chief Executive Officer",
      "organization": "Airbnb",
      "aiVendor": false,
      "work": {
        "title": "earnings call transcript via Platform Aeronaut (third-party transcript site)",
        "type": "earnings-call",
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        "publisher": "earnings call transcript via Platform Aeronaut (third-party transcript site)",
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    },
    {
      "id": "uber-seeing-doubling-code-output-engineers-2026",
      "text": "we are seeing doubling in the code output for engineers",
      "speaker": "Balaji Krishnamurthy",
      "role": "Chief Financial Officer",
      "organization": "Uber",
      "aiVendor": false,
      "work": {
        "title": "earnings call transcript via Platform Aeronaut (third-party transcript site)",
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      "url": "https://the-ai-record.com/passages/uber-seeing-doubling-code-output-engineers-2026"
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    {
      "id": "meta-since-beginning-2025-weve-seen-30-increase-2026",
      "text": "Since the beginning of 2025, we've seen a 30% increase in output per engineer, with the majority of that growth coming from the adoption of agentic coding, which saw a big jump in Q4.",
      "speaker": null,
      "role": null,
      "organization": "Meta",
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      "work": {
        "title": "earnings call transcript via Platform Aeronaut (third-party transcript site)",
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        "date": "2026-01-28",
        "publisher": "earnings call transcript via Platform Aeronaut (third-party transcript site)",
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        {
          "metric": "output-change",
          "value": 0.3,
          "unit": "share",
          "period": "since the beginning of 2025",
          "definition": "Output per engineer (measure not defined on the call)",
          "level": "n/a"
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      ],
      "context": null,
      "url": "https://the-ai-record.com/passages/meta-since-beginning-2025-weve-seen-30-increase-2026"
    },
    {
      "id": "meta-were-seeing-even-stronger-gains-power-users-2026",
      "text": "We're seeing even stronger gains with power users of AI coding tools, whose output has increased 80% year over year.",
      "speaker": null,
      "role": null,
      "organization": "Meta",
      "aiVendor": false,
      "work": {
        "title": "earnings call transcript via Platform Aeronaut (third-party transcript site)",
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      "figures": [
        {
          "metric": "output-change",
          "value": 0.8,
          "unit": "share",
          "period": "year over year",
          "definition": "Output of power users of AI coding tools",
          "level": "n/a"
        }
      ],
      "context": null,
      "url": "https://the-ai-record.com/passages/meta-were-seeing-even-stronger-gains-power-users-2026"
    },
    {
      "id": "shopify-first-11-days-running-dependency-workflow-backlog-2026",
      "text": "In the first 11 days of running the dependency workflow, the backlog of open issues fell by about 70%.",
      "speaker": "Erin Son",
      "role": "Senior Engineer",
      "organization": "Shopify",
      "aiVendor": false,
      "work": {
        "title": "How River takes security work from a fix to merge",
        "type": "post",
        "date": "2026-09-02",
        "publisher": "Shopify engineering blog",
        "url": "https://shopify.engineering/river-vulnerability-remediation"
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      "grade": "B",
      "verification": {
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        "reviewedOn": "2026-10-31"
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        "security"
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        {
          "metric": "output-change",
          "value": -0.7,
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          "period": "first 11 days of the dependency workflow, as of 2026-09-02",
          "definition": "backlog of open dependency issues after River's dependency workflow started",
          "level": "n/a"
        }
      ],
      "context": null,
      "url": "https://the-ai-record.com/passages/shopify-first-11-days-running-dependency-workflow-backlog-2026"
    },
    {
      "id": "linear-number-issues-pull-request-attached-someone-engineering-2026",
      "text": "the number of issues with a pull request attached by someone in an engineering, product, or design function has grown sevenfold",
      "speaker": null,
      "role": null,
      "organization": "Linear",
      "aiVendor": false,
      "work": {
        "title": "Linear (own site)",
        "type": "post",
        "date": "2026-08-26",
        "publisher": "Linear (own site)",
        "url": "https://linear.app/now/sharing-growth-with-the-people-building-linear"
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      "verification": {
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      "topics": [
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        "measuring-impact",
        "coding-agents"
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      "functions": [
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        {
          "metric": "output-change",
          "value": 7,
          "unit": "ratio",
          "period": "since the start of 2026",
          "definition": "issues with a pull request attached, across customer workspaces",
          "level": "n/a"
        }
      ],
      "context": null,
      "url": "https://the-ai-record.com/passages/linear-number-issues-pull-request-attached-someone-engineering-2026"
    },
    {
      "id": "uber-all-led-twice-number-lines-code-per-2026",
      "text": "And all of this led to twice the number of lines of code per engineer year over year.",
      "speaker": "Uday Kiran Medisetty",
      "role": "Distinguished Engineer",
      "organization": "Uber",
      "aiVendor": false,
      "work": {
        "title": "Agentic SDLC at Uber: Building Blocks for Uber's Software Factory (talk, AI Engineer World's Fair 2026)",
        "type": "talk",
        "date": "2026-08-21",
        "publisher": "AI Engineer (conference organizer) YouTube channel",
        "url": "https://www.youtube.com/watch?v=17-YSUHo6Lk"
      },
      "grade": "B",
      "verification": {
        "status": "verified",
        "reviewedOn": "2026-11-01"
      },
      "topics": [
        "developer-productivity",
        "measuring-impact",
        "ai-written-code"
      ],
      "functions": [
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        {
          "metric": "output-change",
          "value": 2,
          "unit": "ratio",
          "period": "year over year (as of the talk)",
          "definition": "lines of code per engineer, year over year",
          "level": "n/a"
        }
      ],
      "context": null,
      "url": "https://the-ai-record.com/passages/uber-all-led-twice-number-lines-code-per-2026"
    },
    {
      "id": "bank-of-america-ericaassist-reduces-average-call-times-nearly-one-2026",
      "text": "EricaAssist reduces average call times by nearly one minute per interaction",
      "speaker": null,
      "role": null,
      "organization": "Bank of America",
      "aiVendor": false,
      "work": {
        "title": "Bank of America newsroom (the company's own press site)",
        "type": "post",
        "date": "2026-07-21",
        "publisher": "Bank of America newsroom (the company's own press site)",
        "url": "https://newsroom.bankofamerica.com/content/newsroom/press-releases/2026/07/bank-of-america-enhances-ericaassist-with-generative-ai-to-help-.html"
      },
      "grade": "B",
      "verification": {
        "status": "verified",
        "reviewedOn": "2026-10-31"
      },
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        "ai-support-resolution"
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      "url": "https://the-ai-record.com/passages/bank-of-america-ericaassist-reduces-average-call-times-nearly-one-2026"
    },
    {
      "id": "airbnb-pr-throughput-inside-airbnb-65-higher-than-2026",
      "text": "Our PR throughput inside of Airbnb is 65% higher than it was before we introduced agentic AI.",
      "speaker": "Christopher Sanson",
      "role": "Product Lead, AI Developer Experience",
      "organization": "Airbnb",
      "aiVendor": false,
      "work": {
        "title": "DX podcast page (DX sells developer-productivity measurement software) carrying a talk given at its DX Annual conference",
        "type": "social",
        "date": "2026-06-22",
        "publisher": "DX podcast page (DX sells developer-productivity measurement software) carrying a talk given at its DX Annual conference",
        "url": "https://getdx.com/podcast/beyond-the-cli-agentic-ai-for-async-workloads-and-non-developers/"
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      "grade": "B",
      "verification": {
        "status": "verified",
        "reviewedOn": "2026-10-31"
      },
      "topics": [
        "developer-productivity",
        "measuring-impact",
        "coding-agents"
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      "functions": [
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      "figures": [
        {
          "metric": "output-change",
          "value": 0.65,
          "unit": "share",
          "period": "agentic AI era vs before",
          "definition": "pull request throughput using DX's 'true throughput' metric, which takes PR complexity into account",
          "level": "n/a"
        }
      ],
      "context": null,
      "url": "https://the-ai-record.com/passages/airbnb-pr-throughput-inside-airbnb-65-higher-than-2026"
    },
    {
      "id": "spotify-were-seeing-76-increase-pull-request-frequency-2026",
      "text": "we're seeing a 76% increase in pull request frequency",
      "speaker": null,
      "role": null,
      "organization": "Spotify",
      "aiVendor": false,
      "work": {
        "title": "Coding Is No Longer the Constraint: Scaling Developer Experience to Teams and Agents at Spotify",
        "type": "post",
        "date": "2026-06-03",
        "publisher": "Spotify engineering blog",
        "url": "https://engineering.atspotify.com/2026/6/code-with-claude-coding-is-no-longer-the-constraint"
      },
      "grade": "B",
      "verification": {
        "status": "verified",
        "reviewedOn": "2026-10-31"
      },
      "topics": [
        "developer-productivity",
        "measuring-impact",
        "coding-agents"
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      "figures": [
        {
          "metric": "output-change",
          "value": 0.76,
          "unit": "share",
          "period": "as of 2026-06",
          "definition": "pull request frequency",
          "level": "n/a"
        }
      ],
      "context": null,
      "url": "https://the-ai-record.com/passages/spotify-were-seeing-76-increase-pull-request-frequency-2026"
    },
    {
      "id": "openai-engineers-using-ship-about-70-more-merged-2025",
      "text": "engineers using it ship about 70% more merged pull requests",
      "speaker": null,
      "role": null,
      "organization": "OpenAI",
      "aiVendor": true,
      "work": {
        "title": "OpenAI forum (OpenAI-run)",
        "type": "post",
        "date": "2025-12-04",
        "publisher": "OpenAI forum (OpenAI-run)",
        "url": "https://forum.openai.com/home/blogs/how-openai-engineers-use-codex-to-tackle-big-projects-with-rigor-2025-12-04"
      },
      "grade": "B",
      "verification": {
        "status": "verified",
        "reviewedOn": "2026-10-31"
      },
      "topics": [
        "developer-productivity",
        "measuring-impact",
        "coding-agents"
      ],
      "functions": [
        "engineering"
      ],
      "figures": [
        {
          "metric": "output-change",
          "value": 0.7,
          "unit": "share",
          "period": "OpenAI engineers using Codex (as of 2025-12)",
          "definition": "merged pull requests, Codex users vs others",
          "level": "n/a"
        }
      ],
      "context": null,
      "url": "https://the-ai-record.com/passages/openai-engineers-using-ship-about-70-more-merged-2025"
    },
    {
      "id": "anthropic-roughly-corroborates-67-increase-merged-pull-requests-2025",
      "text": "roughly corroborates the 67% increase in merged pull requests",
      "speaker": null,
      "role": null,
      "organization": "Anthropic",
      "aiVendor": true,
      "work": {
        "title": "How AI is transforming work at Anthropic",
        "type": "paper",
        "date": "2025-12-02",
        "publisher": "Anthropic (own site)",
        "url": "https://www.anthropic.com/research/how-ai-is-transforming-work-at-anthropic"
      },
      "grade": "B",
      "verification": {
        "status": "verified",
        "reviewedOn": "2026-10-31"
      },
      "topics": [
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        "coding-agents"
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      "functions": [
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      ],
      "figures": [
        {
          "metric": "output-change",
          "value": 0.67,
          "unit": "share",
          "period": "per engineer per day, after Claude Code adoption",
          "definition": "increase in merged pull requests per engineer per day when Claude Code was adopted in the Engineering org",
          "level": "n/a"
        }
      ],
      "context": null,
      "url": "https://the-ai-record.com/passages/anthropic-roughly-corroborates-67-increase-merged-pull-requests-2025"
    },
    {
      "id": "bank-of-america-more-than-98-users-find-information-they-2025",
      "text": "More than 98% of users find the information they need, significantly decreasing call center volume",
      "speaker": null,
      "role": null,
      "organization": "Bank of America",
      "aiVendor": false,
      "work": {
        "title": "Bank of America newsroom (the company's own press site)",
        "type": "post",
        "date": "2025-08-20",
        "publisher": "Bank of America newsroom (the company's own press site)",
        "url": "https://newsroom.bankofamerica.com/content/newsroom/press-releases/2025/08/a-decade-of-ai-innovation--bofa-s-virtual-assistant-erica-surpas.html"
      },
      "grade": "B",
      "verification": {
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      "context": null,
      "url": "https://the-ai-record.com/passages/bank-of-america-more-than-98-users-find-information-they-2025"
    },
    {
      "id": "bank-of-america-more-than-98-clients-get-answers-they-2024",
      "text": "More than 98% of clients get answers they need from Erica within 44 seconds, on average.",
      "speaker": null,
      "role": null,
      "organization": "Bank of America",
      "aiVendor": false,
      "work": {
        "title": "Bank of America newsroom (the company's own press site)",
        "type": "post",
        "date": "2024-04-08",
        "publisher": "Bank of America newsroom (the company's own press site)",
        "url": "https://newsroom.bankofamerica.com/content/newsroom/press-releases/2024/04/bofa-s-erica-surpasses-2-billion-interactions--helping-42-millio.html"
      },
      "grade": "B",
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      "context": null,
      "url": "https://the-ai-record.com/passages/bank-of-america-more-than-98-clients-get-answers-they-2024"
    },
    {
      "id": "stripe-seller-productivity-increased-20-2026",
      "text": "seller productivity has increased by 20%",
      "speaker": "Will Gaybrick",
      "role": "President, Technology and Business (also styled President of Product and Business)",
      "organization": "Stripe",
      "aiVendor": false,
      "work": {
        "title": "Tokens Are the New Dollars | Stripe's Will Gaybrick & David George (podcast episode: \"Stripe’s AI Strategy: Build More, Not Less\")",
        "type": "interview",
        "date": "2026-08-17",
        "publisher": "The a16z Show (podcast and YouTube channel of Andreessen Horowitz, an investor in Stripe)",
        "url": "https://www.youtube.com/watch?v=P5iICDVn5gc"
      },
      "grade": "C",
      "verification": {
        "status": "verified",
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      },
      "topics": [
        "developer-productivity",
        "measuring-impact",
        "sales-and-marketing"
      ],
      "functions": [
        "sales-marketing"
      ],
      "figures": [
        {
          "metric": "output-change",
          "value": 0.2,
          "unit": "share",
          "period": "as said 2026-08-17",
          "definition": "not defined by the speaker",
          "level": "n/a"
        }
      ],
      "context": null,
      "url": "https://the-ai-record.com/passages/stripe-seller-productivity-increased-20-2026"
    },
    {
      "id": "greptile-very-little-difference-review-rounds-human-ai-prs-2026",
      "text": "And so I started tracking the number of iterations, the number of review rounds between when the pull request was opened and when it was merged. Sure enough, very little difference. … Once again, very little if any statistical difference between human-generated and AI-generated pull requests in terms of how many iterations before they're ready to merge.",
      "speaker": "Daksh Gupta",
      "role": "Co-founder",
      "organization": "Greptile",
      "aiVendor": true,
      "work": {
        "title": "AI-Generated Code Is Already Competing With Human Code",
        "type": "talk",
        "date": "2026-09-27",
        "publisher": "AI Engineer (YouTube)",
        "locator": "07:57",
        "url": "https://www.youtube.com/watch?v=474j-n1Ltxc"
      },
      "grade": "B",
      "verification": {
        "status": "verified",
        "reviewedOn": "2026-11-01"
      },
      "topics": [
        "code-review",
        "measuring-impact"
      ],
      "functions": [
        "engineering"
      ],
      "figures": [],
      "context": null,
      "url": "https://the-ai-record.com/passages/greptile-very-little-difference-review-rounds-human-ai-prs-2026"
    },
    {
      "id": "boundary-ab-test-tool-calls-billions-of-tokens-programming-language-2026",
      "text": "You could figure out which ones took less tool calls, … which one made less errors, which one produced the correct outcome, and deterministically know what's going on. The point is you can start building data-driven systems without ever writing a single line of code. … in order to build a programming language, it wouldn't have taken eight people. It wouldn't have taken less than two years. It would have taken hundreds and thousands and tens of thousands of man hours, and then you would still have a broken system. And today, we can just spend billions of tokens and make it work, and we can make it stable.",
      "speaker": "Vaibhav Gupta",
      "role": "Co-founder and Chief Executive",
      "organization": "Boundary (BoundaryML)",
      "aiVendor": true,
      "work": {
        "title": "Fighting Slop with Slop",
        "type": "talk",
        "date": "2026-07-31",
        "publisher": "AI Engineer (YouTube)",
        "locator": "6:00",
        "url": "https://www.youtube.com/watch?v=AMiyLItEtLA"
      },
      "grade": "B",
      "verification": {
        "status": "verified",
        "reviewedOn": "2026-11-01"
      },
      "topics": [
        "measuring-impact",
        "developer-productivity",
        "ai-cost-and-spend"
      ],
      "functions": [
        "engineering"
      ],
      "figures": [],
      "context": "Gupta is comparing what building a programming language would have taken before with what it takes the team now.",
      "url": "https://the-ai-record.com/passages/boundary-ab-test-tool-calls-billions-of-tokens-programming-language-2026"
    },
    {
      "id": "reddit-flag-agent-seven-for-seven-green-ci-1-26-per-pull-request-2026",
      "text": "Before I trusted this workflow, I back tested the scoring against months of clean up history. Then I ran it live. Seven for seven PRs with green CI. Now it runs daily on my laptop and hands work back for me to review. … $1.26 a pull request. A backlog of around 520 flags a year runs for under $700. If you had engineers working on this by hand, at least $26,000 that you're looking at.",
      "speaker": "Andrew Orobator",
      "role": "Senior Software Engineer",
      "organization": "Reddit",
      "aiVendor": false,
      "work": {
        "title": "Scale the Judgment, Not the Model",
        "type": "talk",
        "date": "2026-06-30",
        "publisher": "AI Engineer (YouTube)",
        "locator": "11:59",
        "url": "https://www.youtube.com/watch?v=6MudaeKdBSk"
      },
      "grade": "B",
      "verification": {
        "status": "verified",
        "reviewedOn": "2026-11-01"
      },
      "topics": [
        "coding-agents",
        "ai-cost-and-spend",
        "measuring-impact"
      ],
      "functions": [
        "engineering"
      ],
      "figures": [
        {
          "metric": "flag-cleanup-prs-green-ci",
          "value": 7,
          "unit": "count",
          "period": "the live run after back testing",
          "definition": "pull requests from the speaker's stale-feature-flag agent that passed CI, out of 7 (\"Seven for seven\")",
          "level": "human-approves"
        },
        {
          "metric": "flag-cleanup-cost-per-pr",
          "value": 1.26,
          "unit": "USD",
          "period": "per pull request",
          "definition": "cost per pull request of the speaker's stale-feature-flag agent, as he states it",
          "level": "human-approves"
        },
        {
          "metric": "flag-cleanup-yearly-cost",
          "value": 700,
          "unit": "USD",
          "period": "per year, backlog of around 520 flags",
          "definition": "upper bound ('under $700') the speaker gives for running his agent on about 520 flags a year",
          "level": "human-approves"
        },
        {
          "metric": "flag-cleanup-manual-cost",
          "value": 26000,
          "unit": "USD",
          "period": "per year, same backlog",
          "definition": "the speaker's estimate ('at least $26,000') of the same work done by engineers by hand",
          "level": "n/a"
        }
      ],
      "context": "The speaker is a Reddit Android engineer. In the talk he describes this agent as running in his local workflow and on his laptop, and says some of his other practices are from his personal side projects. The $26,000 is his own estimate of manual cost, and the PR count is a small sample.",
      "url": "https://the-ai-record.com/passages/reddit-flag-agent-seven-for-seven-green-ci-1-26-per-pull-request-2026"
    },
    {
      "id": "cognition-merged-prs-grew-7x-engineering-headcount-2026",
      "text": "it grew like 7X over, the last, I think it was, two months, three months, something like that. And then you see our engineering headcount growth. It’s, gone up by, 10% or something.",
      "speaker": "Walden Yan",
      "role": "Co-founder and Chief Product Officer",
      "organization": "Cognition",
      "aiVendor": true,
      "work": {
        "title": "The Age of Async Agents: Cognition's Walden Yan and OpenInspect's Cole Murray",
        "type": "podcast",
        "date": "2026-05-28",
        "publisher": "Latent Space",
        "locator": "00:03:01",
        "url": "https://latent.space/p/cognition"
      },
      "grade": "C",
      "verification": {
        "status": "verified",
        "reviewedOn": "2026-11-01"
      },
      "topics": [
        "developer-productivity",
        "measuring-impact"
      ],
      "functions": [
        "engineering"
      ],
      "figures": [
        {
          "metric": "merged-prs-growth",
          "value": 7,
          "unit": "x",
          "period": "about two to three months, as recalled by the speaker",
          "definition": "Growth in Cognition's internal merged PRs, per the speaker's recollection of an internal graph",
          "level": "n/a"
        },
        {
          "metric": "engineering-headcount-growth",
          "value": 0.1,
          "unit": "share",
          "period": "same period",
          "definition": "Approximate, 'or something'",
          "level": "n/a"
        }
      ],
      "context": "Walden Yan was describing an internal graph of Cognition's merged pull requests, which he said had grown 7X; the passage is the continuation of that answer.",
      "url": "https://the-ai-record.com/passages/cognition-merged-prs-grew-7x-engineering-headcount-2026"
    },
    {
      "id": "amazon-median-4-5x-productivity-pilots-felt-10-to-20-2026",
      "text": "And completely anecdotally based on my own experience, I've really only felt maybe 10 to 20% more productive with all of these phases that have come before. But now inside of Amazon, we've been running pilots with different teams across the company, and we've been seeing a median of 4.5x productivity improvement and sometimes more than 10x.",
      "speaker": "Clare Liguori",
      "role": "Senior Principal Engineer, AWS",
      "organization": "Amazon",
      "aiVendor": true,
      "work": {
        "title": "From AI-Assisted to AI-Native: Building a Frontier Development Team",
        "type": "talk",
        "date": "2026-08-28",
        "publisher": "AI Engineer (YouTube)",
        "locator": "1:11",
        "url": "https://www.youtube.com/watch?v=pqlWNihgdjI"
      },
      "grade": "B",
      "verification": {
        "status": "reported"
      },
      "topics": [
        "developer-productivity",
        "measuring-impact"
      ],
      "functions": [
        "engineering"
      ],
      "figures": [
        {
          "metric": "productivity-gain-multiple",
          "value": 4.5,
          "unit": "ratio",
          "period": "Amazon pilots with teams across the company, as described in 2026",
          "definition": "median productivity improvement across the pilot teams, as the speaker states it; the measure is not defined in this passage (the speaker later names deployment velocity for the Amazon Stores pilot)",
          "level": "n/a"
        }
      ],
      "context": "Liguori is describing how pilots with Amazon teams compare with her own earlier experience of AI coding assistants.",
      "url": "https://the-ai-record.com/passages/amazon-median-4-5x-productivity-pilots-felt-10-to-20-2026"
    },
    {
      "id": "amazon-prime-video-ten-day-sprint-90-weeks-down-to-24-2026",
      "text": "So another experiment that I want to talk about is an experimental sprint that was done in the Prime Video Organization. They took a 10-day sprint and they … experiment where they put, again, six engineers in a room and they let them go wild with Kiro. They brought down the project delivery time estimate from what was going to be 90 weeks down to 24, based on all of the progress they had made in this 10-day sprint.",
      "speaker": "Clare Liguori",
      "role": "Senior Principal Engineer, AWS",
      "organization": "Amazon",
      "aiVendor": true,
      "work": {
        "title": "From AI-Assisted to AI-Native: Building a Frontier Development Team",
        "type": "talk",
        "date": "2026-08-28",
        "publisher": "AI Engineer (YouTube)",
        "locator": "4:05",
        "url": "https://www.youtube.com/watch?v=pqlWNihgdjI"
      },
      "grade": "B",
      "verification": {
        "status": "reported"
      },
      "topics": [
        "developer-productivity",
        "measuring-impact",
        "coding-agents"
      ],
      "functions": [
        "engineering"
      ],
      "figures": [
        {
          "metric": "delivery-estimate-before",
          "value": 90,
          "unit": "weeks",
          "period": "before the 10-day sprint",
          "definition": "project delivery time estimate before the sprint",
          "level": "n/a"
        },
        {
          "metric": "delivery-estimate-after",
          "value": 24,
          "unit": "weeks",
          "period": "after the 10-day sprint",
          "definition": "revised project delivery time estimate, based on progress made in the sprint",
          "level": "n/a"
        }
      ],
      "context": "Liguori is describing an experimental sprint in Amazon's Prime Video organization.",
      "url": "https://the-ai-record.com/passages/amazon-prime-video-ten-day-sprint-90-weeks-down-to-24-2026"
    },
    {
      "id": "amazon-stores-pilot-50-teams-half-under-3x-deployment-velocity-2026",
      "text": "They watched 50 teams that were totally … distribution of early career folks, mid-career senior engineers, and that worked on existing systems. … And they watched them for the better part of last year, and they found something super interesting. They found that there was a big difference in the productivity gains that they saw between half of the teams and the other half. And in this case, they used a productivity metric of deployment velocity to production. … And they saw that for half of the teams, they achieved less than 3X increase.",
      "speaker": "Clare Liguori",
      "role": "Senior Principal Engineer, AWS",
      "organization": "Amazon",
      "aiVendor": true,
      "work": {
        "title": "From AI-Assisted to AI-Native: Building a Frontier Development Team",
        "type": "talk",
        "date": "2026-08-28",
        "publisher": "AI Engineer (YouTube)",
        "locator": "5:59",
        "url": "https://www.youtube.com/watch?v=pqlWNihgdjI"
      },
      "grade": "B",
      "verification": {
        "status": "reported"
      },
      "topics": [
        "measuring-impact",
        "developer-productivity",
        "adoption-and-usage"
      ],
      "functions": [
        "engineering"
      ],
      "figures": [
        {
          "metric": "teams-in-pilot",
          "value": 50,
          "unit": "teams",
          "period": "watched for the better part of last year",
          "definition": "teams in the Amazon Stores pilot, a normal mix of seniority working on existing systems",
          "level": "n/a"
        },
        {
          "metric": "deployment-velocity-gain-half-of-teams",
          "value": 3,
          "unit": "ratio",
          "period": "Amazon Stores pilot",
          "definition": "upper bound: half of the teams achieved less than a 3X increase in deployment velocity to production",
          "level": "n/a"
        }
      ],
      "context": "Liguori is describing a pilot run by Amazon Stores, which she says covers Amazon.com, its retail websites and its physical stores.",
      "url": "https://the-ai-record.com/passages/amazon-stores-pilot-50-teams-half-under-3x-deployment-velocity-2026"
    },
    {
      "id": "uber-ureview-does-around-25-000-comments-2026",
      "text": "[uReview] does … around 25,000 comments a week, and we get 10% of them actually get some feedback … We also saw that the overall address rate was around 67%, and almost three quarters of the high severity issues were usually addressed by the developers",
      "speaker": "Ameya Ketkar",
      "role": "Speaker, AI Engineer World's Fair 2026 (job title not stated)",
      "organization": "Uber",
      "aiVendor": false,
      "work": {
        "title": "Building uReview, Uber's Multi-Agent Code Review Engine (talk, AI Engineer World's Fair 2026)",
        "type": "talk",
        "date": "2026-08-28",
        "publisher": "AI Engineer (YouTube)",
        "locator": "10:13",
        "url": "https://www.youtube.com/watch?v=EL123UNokkI"
      },
      "grade": "B",
      "verification": {
        "status": "reported"
      },
      "topics": [
        "code-review",
        "measuring-impact"
      ],
      "functions": [
        "engineering"
      ],
      "figures": [
        {
          "metric": "ai-review-comments",
          "value": 25000,
          "unit": "comments",
          "period": "per week",
          "definition": "comments posted by uReview, Uber's AI code-review system",
          "level": "assisted"
        },
        {
          "metric": "review-comment-address-rate",
          "value": 67,
          "unit": "percent",
          "period": "as of the talk",
          "definition": "share of uReview comments that the developer went and addressed, overall",
          "level": "assisted"
        }
      ],
      "context": "Ameya Ketkar is reporting results for uReview, Uber's code-review system. The address rate is how often a developer acts on a comment, as he defined it earlier in the talk.",
      "url": "https://the-ai-record.com/passages/uber-ureview-does-around-25-000-comments-2026"
    },
    {
      "id": "uber-we-saw-against-like-very-naive-2026",
      "text": "we saw that against like a very naive implementation, our costs were down by 60%, and our quality and our accuracy was up by around 70%.",
      "speaker": "Ameya Ketkar",
      "role": "Speaker, AI Engineer World's Fair 2026 (job title not stated)",
      "organization": "Uber",
      "aiVendor": false,
      "work": {
        "title": "Building uReview, Uber's Multi-Agent Code Review Engine (talk, AI Engineer World's Fair 2026)",
        "type": "talk",
        "date": "2026-08-28",
        "publisher": "AI Engineer (YouTube)",
        "locator": "10:50",
        "url": "https://www.youtube.com/watch?v=EL123UNokkI"
      },
      "grade": "B",
      "verification": {
        "status": "reported"
      },
      "topics": [
        "code-review",
        "ai-cost-and-spend",
        "measuring-impact"
      ],
      "functions": [
        "engineering"
      ],
      "figures": [
        {
          "metric": "ai-review-cost-change",
          "value": -60,
          "unit": "percent",
          "period": "against a naive first implementation",
          "definition": "cost of running uReview, compared with a very naive implementation, as Ketkar describes it",
          "level": "n/a"
        },
        {
          "metric": "ai-review-quality-change",
          "value": 70,
          "unit": "percent",
          "period": "against a naive first implementation",
          "definition": "quality and accuracy of uReview, compared with a very naive implementation, as Ketkar describes it; the talk does not say how this is measured",
          "level": "n/a"
        }
      ],
      "context": "Ameya Ketkar is summarizing the effect of the observability and evaluation work on uReview, Uber's code-review system.",
      "url": "https://the-ai-record.com/passages/uber-we-saw-against-like-very-naive-2026"
    },
    {
      "id": "cloudflare-requests-tokens-tell-usage-not-value-2026",
      "text": "requests and tokens tell us like usage, like merge requests and pipelines tell us about platform activity, but they do not tell us what value … providing. … the more meaningful long-term question really is like what is the future velocity and outcomes that we can measure with less friction, getting changes out safely.",
      "speaker": "Rajesh Bhatia",
      "role": "Senior Director of Engineering, Cloudflare",
      "organization": "Cloudflare",
      "aiVendor": true,
      "work": {
        "title": "From Assisted to Delegated: Cloudflare's AI Engineering Stack (interview, Background Agents Summit 2026)",
        "type": "talk",
        "date": "2026-05-06",
        "publisher": "Ona (YouTube)",
        "locator": "20:49",
        "url": "https://www.youtube.com/watch?v=MbLdrAZFQRs"
      },
      "grade": "B",
      "verification": {
        "status": "reported"
      },
      "topics": [
        "measuring-impact",
        "developer-productivity"
      ],
      "functions": [
        "engineering"
      ],
      "figures": [],
      "context": "Asked how Cloudflare thinks about measuring return on AI spend.",
      "url": "https://the-ai-record.com/passages/cloudflare-requests-tokens-tell-usage-not-value-2026"
    },
    {
      "id": "cloudflare-impact-developer-velocity-internally-clear-never-2026",
      "text": "The impact on developer velocity internally is clear: we’ve never seen a quarter-to-quarter increase in merge requests to this degree. As AI tooling adoption has grown the 4-week rolling average has climbed from ~5,600/week to over 8,700.",
      "speaker": null,
      "role": null,
      "organization": "Cloudflare",
      "aiVendor": true,
      "work": {
        "title": "The AI engineering stack we built internally, on the platform we ship",
        "type": "post",
        "date": "2026-04-20",
        "publisher": "Cloudflare blog",
        "url": "https://blog.cloudflare.com/internal-ai-engineering-stack/"
      },
      "grade": "B",
      "verification": {
        "status": "reported"
      },
      "topics": [
        "developer-productivity",
        "measuring-impact"
      ],
      "functions": [
        "engineering"
      ],
      "figures": [
        {
          "metric": "prs-merged",
          "value": 8700,
          "unit": "count",
          "period": "4-week rolling average per week, after AI tooling adoption grew (from about 5,600)",
          "definition": "Merge requests (all authors); the post offers no control group",
          "level": "n/a"
        }
      ],
      "context": null,
      "url": "https://the-ai-record.com/passages/cloudflare-impact-developer-velocity-internally-clear-never-2026"
    },
    {
      "id": "airbnb-reduced-time-concept-delivery-much-60-2026",
      "text": "reduced the time from concept to delivery by as much as 60%",
      "speaker": null,
      "role": null,
      "organization": "Airbnb",
      "aiVendor": false,
      "work": {
        "title": "SEC filing (8-K exhibit: the company's own shareholder letter)",
        "type": "filing",
        "date": "2026-08-06",
        "publisher": "SEC filing (8-K exhibit: the company's own shareholder letter)",
        "url": "https://www.sec.gov/Archives/edgar/data/0001559720/000119312526337928/d70413dex991.htm"
      },
      "grade": "A",
      "verification": {
        "status": "verified",
        "reviewedOn": "2026-10-31"
      },
      "topics": [
        "developer-productivity",
        "measuring-impact"
      ],
      "functions": [
        "company-wide"
      ],
      "figures": [
        {
          "metric": "output-change",
          "value": -0.6,
          "unit": "share",
          "period": "key initiatives, 2026",
          "definition": "time from concept to delivery on key initiatives",
          "level": "n/a"
        }
      ],
      "context": null,
      "url": "https://the-ai-record.com/passages/airbnb-reduced-time-concept-delivery-much-60-2026"
    },
    {
      "id": "airbnb-weve-increased-number-features-improvements-shipped-year-2026",
      "text": "we've increased the number of features and improvements we shipped this year by nearly 80%.",
      "speaker": "Brian Chesky",
      "role": "Co-founder and Chief Executive Officer",
      "organization": "Airbnb",
      "aiVendor": false,
      "work": {
        "title": "earnings call transcript via Platform Aeronaut (third-party transcript site)",
        "type": "earnings-call",
        "date": "2026-08-06",
        "publisher": "earnings call transcript via Platform Aeronaut (third-party transcript site)",
        "url": "https://transcripts.platformaeronaut.com/transcripts/ABNB-2Q26-transcript"
      },
      "grade": "A",
      "verification": {
        "status": "verified",
        "reviewedOn": "2026-10-31"
      },
      "topics": [
        "developer-productivity",
        "measuring-impact"
      ],
      "functions": [
        "engineering"
      ],
      "figures": [
        {
          "metric": "output-change",
          "value": 0.8,
          "unit": "share",
          "period": "H1 2026 vs H1 2025",
          "definition": "number of features and improvements shipped, compared with the same six months last year",
          "level": "n/a"
        }
      ],
      "context": null,
      "url": "https://the-ai-record.com/passages/airbnb-weve-increased-number-features-improvements-shipped-year-2026"
    },
    {
      "id": "klarna-employee-engagement-measured-through-amplifier-klarnas-ai-2026",
      "text": "Employee engagement is measured through Amplifier, Klarna's AI-powered engagement survey.",
      "speaker": null,
      "role": null,
      "organization": "Klarna",
      "aiVendor": false,
      "work": {
        "title": "SEC filing (the company's own regulatory report), furnished on Form 6-K",
        "type": "filing",
        "date": "2026-05-27",
        "publisher": "SEC filing (the company's own regulatory report), furnished on Form 6-K",
        "url": "https://www.sec.gov/Archives/edgar/data/2003292/000162828026038366/annualreport2025.htm"
      },
      "grade": "A",
      "verification": {
        "status": "verified",
        "reviewedOn": "2026-10-31"
      },
      "topics": [
        "measuring-impact"
      ],
      "functions": [
        "people"
      ],
      "figures": [],
      "context": null,
      "url": "https://the-ai-record.com/passages/klarna-employee-engagement-measured-through-amplifier-klarnas-ai-2026"
    },
    {
      "id": "airbnb-more-than-80-engineers-now-using-ai-2026",
      "text": "More than 80% of engineers are now using AI tools.",
      "speaker": "Brian Chesky",
      "role": "Co-founder and Chief Executive Officer",
      "organization": "Airbnb",
      "aiVendor": false,
      "work": {
        "title": "earnings call transcript via Platform Aeronaut (third-party transcript site)",
        "type": "earnings-call",
        "date": "2026-02-12",
        "publisher": "earnings call transcript via Platform Aeronaut (third-party transcript site)",
        "url": "https://transcripts.platformaeronaut.com/transcripts/ABNB-4Q25-transcript"
      },
      "grade": "A",
      "verification": {
        "status": "verified",
        "reviewedOn": "2026-10-31"
      },
      "topics": [
        "adoption-and-usage",
        "measuring-impact"
      ],
      "functions": [
        "engineering"
      ],
      "figures": [],
      "context": null,
      "url": "https://the-ai-record.com/passages/airbnb-more-than-80-engineers-now-using-ai-2026"
    },
    {
      "id": "bank-of-america-19-000-software-developers-experienced-efficiency-gains-2026",
      "text": "19,000 software developers have experienced efficiency gains of over 20% through real-time coding assistance",
      "speaker": null,
      "role": null,
      "organization": "Bank of America",
      "aiVendor": false,
      "work": {
        "title": "Bank of America newsroom (the company's own press site)",
        "type": "post",
        "date": "2026-10-14",
        "publisher": "Bank of America newsroom (the company's own press site)",
        "url": "https://newsroom.bankofamerica.com/content/newsroom/company-overview/bank-of-america-fast-facts.html"
      },
      "grade": "B",
      "verification": {
        "status": "verified",
        "reviewedOn": "2026-10-31"
      },
      "topics": [
        "developer-productivity",
        "measuring-impact"
      ],
      "functions": [
        "engineering"
      ],
      "figures": [
        {
          "metric": "engineers",
          "value": 19000,
          "unit": "people",
          "period": "as of 2026-10-14",
          "definition": "software developers using real-time coding assistance",
          "level": "n/a"
        },
        {
          "metric": "output-change",
          "value": 0.2,
          "unit": "share",
          "period": "as of 2026-10-14",
          "definition": "efficiency gains through real-time coding assistance (the measure is not defined)",
          "level": "n/a"
        }
      ],
      "context": null,
      "url": "https://the-ai-record.com/passages/bank-of-america-19-000-software-developers-experienced-efficiency-gains-2026"
    },
    {
      "id": "airbnb-like-50-users-i-dont-want-scare-2026",
      "text": "We have like 50 users and I don't want to scare people, but the PR throughput for these folks is like 3X higher again.",
      "speaker": "Christopher Sanson",
      "role": "Product Lead, AI Developer Experience",
      "organization": "Airbnb",
      "aiVendor": false,
      "work": {
        "title": "DX podcast page (DX sells developer-productivity measurement software) carrying a talk given at its DX Annual conference",
        "type": "social",
        "date": "2026-06-22",
        "publisher": "DX podcast page (DX sells developer-productivity measurement software) carrying a talk given at its DX Annual conference",
        "url": "https://getdx.com/podcast/beyond-the-cli-agentic-ai-for-async-workloads-and-non-developers/"
      },
      "grade": "B",
      "verification": {
        "status": "verified",
        "reviewedOn": "2026-10-31"
      },
      "topics": [
        "developer-productivity",
        "measuring-impact",
        "coding-agents"
      ],
      "functions": [
        "engineering"
      ],
      "figures": [
        {
          "metric": "output-change",
          "value": 3,
          "unit": "ratio",
          "period": "as of 2026-06-22",
          "definition": "pull-request throughput of an early-access group of about 50 users of AirChat Remote, against before",
          "level": "n/a"
        }
      ],
      "context": null,
      "url": "https://the-ai-record.com/passages/airbnb-like-50-users-i-dont-want-scare-2026"
    },
    {
      "id": "genentech-complete-about-189-tickets-sprint-which-about-2026",
      "text": "we complete about 189 tickets for this sprint, which is about four times as much or two to three times more than what we usually accomplish",
      "speaker": "Xiucheng Quek",
      "role": "Software engineer",
      "organization": "Genentech",
      "aiVendor": false,
      "work": {
        "title": "Background Agents for Genomics and Cloud Ops",
        "type": "talk",
        "date": "2026-05-07",
        "publisher": "YouTube video of a talk or interview (Xiucheng Quek, software engineer (Genentech))",
        "url": "https://www.youtube.com/watch?v=GXDtw0EmoX0"
      },
      "grade": "B",
      "verification": {
        "status": "verified",
        "reviewedOn": "2026-10-31"
      },
      "topics": [
        "developer-productivity",
        "measuring-impact"
      ],
      "functions": [
        "engineering"
      ],
      "figures": [
        {
          "metric": "output-change",
          "value": 4,
          "unit": "ratio",
          "period": "this sprint vs usual",
          "definition": "tickets completed per sprint by the team",
          "level": "n/a"
        }
      ],
      "context": null,
      "url": "https://the-ai-record.com/passages/genentech-complete-about-189-tickets-sprint-which-about-2026"
    },
    {
      "id": "stripe-were-not-saying-wow-need-fewer-sellers-2026",
      "text": "we're not saying, \"Wow, we need fewer sellers.\" We're saying, \"So, we need a lot more sellers.\"",
      "speaker": "Will Gaybrick",
      "role": "President, Technology and Business (also styled President of Product and Business)",
      "organization": "Stripe",
      "aiVendor": false,
      "work": {
        "title": "Tokens Are the New Dollars | Stripe's Will Gaybrick & David George (podcast episode: \"Stripe’s AI Strategy: Build More, Not Less\")",
        "type": "interview",
        "date": "2026-08-17",
        "publisher": "The a16z Show (podcast and YouTube channel of Andreessen Horowitz, an investor in Stripe)",
        "url": "https://www.youtube.com/watch?v=P5iICDVn5gc"
      },
      "grade": "C",
      "verification": {
        "status": "verified",
        "reviewedOn": "2026-10-31"
      },
      "topics": [
        "measuring-impact",
        "headcount-and-hiring",
        "sales-and-marketing"
      ],
      "functions": [
        "sales-marketing"
      ],
      "figures": [],
      "context": null,
      "url": "https://the-ai-record.com/passages/stripe-were-not-saying-wow-need-fewer-sellers-2026"
    }
  ],
  "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 tooling and have a reason to publish flattering numbers.",
    "An empty result means the archive holds nothing on it, not that nobody has said anything."
  ]
}