{ "apiVersion": "v1", "topic": { "id": "adoption-and-usage", "title": "How widely do employees use AI?", "summary": "Shares of staff using AI tools, how often, and how adoption was driven.", "group": "Running AI in an organization", "aliases": [ "adoption", "daily active", "usage" ] }, "passages": [ { "id": "uber-seeing-moment-near-100-adoption-engineers-ai-2026", "text": "We are seeing at the moment near 100% adoption with our engineers on AI-based coding tools.", "speaker": "Balaji Krishnamurthy", "role": "Chief Financial Officer", "organization": "Uber", "aiVendor": false, "work": { "title": "earnings call transcript via Platform Aeronaut (third-party transcript site)", "type": "earnings-call", "date": "2026-08-05", "publisher": "earnings call transcript via Platform Aeronaut (third-party transcript site)", "url": "https://transcripts.platformaeronaut.com/transcripts/UBER-2Q26-transcript" }, "grade": "A", "verification": { "status": "verified", "reviewedOn": "2026-10-31" }, "topics": [ "adoption-and-usage" ], "functions": [ "engineering" ], "figures": [], "context": null, "url": "https://the-ai-record.com/passages/uber-seeing-moment-near-100-adoption-engineers-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": "uber-february-aug-2026-weekly-active-users-across-2026", "text": "from February to Aug 2026, weekly active users across all agentic offerings across all our employees (engineers & non-engineers) grew 7x, and weekly agentic requests grew 9.4x.", "speaker": "Uday Kiran Medisetty", "role": "Distinguished Engineer", "organization": "Uber", "aiVendor": false, "work": { "title": "Running a Software Factory Efficiently at Uber Scale", "type": "post", "date": "2026-08-27", "publisher": "Uber engineering blog", "url": "https://www.uber.com/us/en/blog/efficient-software-factory/" }, "grade": "B", "verification": { "status": "verified", "reviewedOn": "2026-10-31" }, "topics": [ "adoption-and-usage" ], "functions": [ "company-wide" ], "figures": [], "context": null, "url": "https://the-ai-record.com/passages/uber-february-aug-2026-weekly-active-users-across-2026" }, { "id": "stripe-today-83-weekly-active-users-including-nearly-2026", "text": "Today, 83% are weekly active users, including nearly all of GTM (marketing, sales, customer success managers, and technical account managers).", "speaker": "Sharadh Krishnamurthy", "role": "Engineering manager, Agent Foundation team", "organization": "Stripe", "aiVendor": false, "work": { "title": "Stripe developer blog", "type": "post", "date": "2026-07-30", "publisher": "Stripe developer blog", "url": "https://stripe.dev/blog/meet-stripes-knowledge-ai-platform" }, "grade": "B", "verification": { "status": "verified", "reviewedOn": "2026-10-31" }, "topics": [ "adoption-and-usage", "sales-and-marketing" ], "functions": [ "company-wide" ], "figures": [], "context": null, "url": "https://the-ai-record.com/passages/stripe-today-83-weekly-active-users-including-nearly-2026" }, { "id": "uber-today-99-engineers-use-ai-tools-more-2026", "text": "Today, 99% of our engineers use AI tools. More than 70% of pull requests are attributed to local or cloud agents. And our engineers have built 2,500+ agent skills across the software development lifecycle.", "speaker": "Praveen Neppalli Naga", "role": "Chief Technology Officer", "organization": "Uber", "aiVendor": false, "work": { "title": "X post on Praveen Neppalli's own account (Uber's CTO)", "type": "social", "date": "2026-07-07", "publisher": "X post on Praveen Neppalli's own account (Uber's CTO)", "url": "https://x.com/praveenTweets/status/2074605343439810922" }, "grade": "B", "verification": { "status": "verified", "reviewedOn": "2026-10-31" }, "topics": [ "coding-agents", "adoption-and-usage", "training-and-skills" ], "functions": [ "engineering" ], "figures": [], "context": null, "url": "https://the-ai-record.com/passages/uber-today-99-engineers-use-ai-tools-more-2026" }, { "id": "ramp-glass-gives-every-employee-engineering-legal-fully-2026", "text": "Glass gives every employee, from engineering to legal, a fully configured AI workspace, helping the company reach 99.5% AI adoption.", "speaker": null, "role": null, "organization": "Ramp", "aiVendor": false, "work": { "title": "Ramp's Series F press release, as hosted by Ontario Teachers' Pension Plan (an investor in the round)", "type": "post", "date": "2026-06-04", "publisher": "Ramp's Series F press release, as hosted by Ontario Teachers' Pension Plan (an investor in the round)", "url": "https://otpp.com/en-ca/about-us/news-and-insights/2026/ramp-raises-series-f-at-44-billion-valuation/" }, "grade": "B", "verification": { "status": "verified", "reviewedOn": "2026-10-31" }, "topics": [ "adoption-and-usage" ], "functions": [ "company-wide" ], "figures": [], "context": null, "url": "https://the-ai-record.com/passages/ramp-glass-gives-every-employee-engineering-legal-fully-2026" }, { "id": "spotify-more-than-99-engineers-use-ai-coding-2026", "text": "more than 99% of our engineers use AI coding tools every week, 94% report that AI has made them more productive", "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": [ "coding-agents", "developer-productivity", "adoption-and-usage" ], "functions": [ "engineering" ], "figures": [], "context": null, "url": "https://the-ai-record.com/passages/spotify-more-than-99-engineers-use-ai-coding-2026" }, { "id": "uber-84-ai-users-now-working-agent-style-2026", "text": "84% of AI users are now working with agent-style workflows, not just tab completion. Claude Code usage nearly doubled in 2 months (32% → 63%), while IDE-based tools have largely plateaued.", "speaker": "Praveen Neppalli Naga", "role": "Chief Technology Officer", "organization": "Uber", "aiVendor": false, "work": { "title": "X post on Praveen Neppalli's own account (Uber's CTO)", "type": "social", "date": "2026-03-16", "publisher": "X post on Praveen Neppalli's own account (Uber's CTO)", "url": "https://x.com/praveenTweets/status/2033627282418655711" }, "grade": "B", "verification": { "status": "verified", "reviewedOn": "2026-10-31" }, "topics": [ "adoption-and-usage" ], "functions": [ "engineering" ], "figures": [], "context": null, "url": "https://the-ai-record.com/passages/uber-84-ai-users-now-working-agent-style-2026" }, { "id": "klarna-9-out-10-klarna-employees-87-now-2024", "text": "9 out of 10 Klarna employees (87%) now harness the power of Generative AI in their daily work.", "speaker": null, "role": null, "organization": "Klarna", "aiVendor": false, "work": { "title": "Klarna press releases", "type": "post", "date": "2024-05-14", "publisher": "Klarna press releases", "url": "https://www.klarna.com/international/press/90-of-klarna-staff-are-using-ai-daily-game-changer-for-productivity/" }, "grade": "B", "verification": { "status": "verified", "reviewedOn": "2026-10-31" }, "topics": [ "adoption-and-usage" ], "functions": [ "legal" ], "figures": [], "context": null, "url": "https://the-ai-record.com/passages/klarna-9-out-10-klarna-employees-87-now-2024" }, { "id": "coinbase-effectively-100-employees-using-ai-daily-basis-2026", "text": "Effectively, 100% of our employees are using AI on a daily basis here.", "speaker": "Rob Witoff", "role": "Head of platform", "organization": "Coinbase", "aiVendor": false, "work": { "title": "Over 95% of Coinbase’s code is now written with help of AI", "type": "interview", "date": "2026-07-14", "publisher": "Cointelegraph (crypto news site)", "url": "https://cointelegraph.com/news/over-95-of-coinbases-code-is-now-written-with-ai" }, "grade": "C", "verification": { "status": "verified", "reviewedOn": "2026-10-31" }, "topics": [ "adoption-and-usage" ], "functions": [ "company-wide" ], "figures": [], "context": null, "url": "https://the-ai-record.com/passages/coinbase-effectively-100-employees-using-ai-daily-basis-2026" }, { "id": "airbnb-havent-done-any-mandates-inside-airbnb-its-2026", "text": "we haven't done any mandates inside of Airbnb. It's all been organic adoption.", "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": [ "adoption-and-usage", "leadership-and-mandates" ], "functions": [ "engineering" ], "figures": [], "context": null, "url": "https://the-ai-record.com/passages/airbnb-havent-done-any-mandates-inside-airbnb-its-2026" }, { "id": "openai-long-time-we-had-capability-overhang-models-2026", "text": "For a long time, we had a 'capability overhang': the models were capable but the products didn't fully bring that out. Now, we're seeing an awareness gap. Some people have figured out they can use Codex to monitor Slack, update Airtable, or create onboarding materials. But many others still use it for one task and then discover more uses from teammates via word-of-mouth.", "speaker": "Akshay Nathan", "role": "Engineering Lead, Productivity team", "organization": "OpenAI", "aiVendor": true, "work": { "title": "Inside OpenAI's agentic software factory", "type": "press", "date": "2026-09-15", "publisher": "The Pragmatic Engineer", "locator": "1. Codex takes over at OpenAI", "url": "https://newsletter.pragmaticengineer.com/p/openai-software-factory" }, "grade": "C", "verification": { "status": "verified", "reviewedOn": "2026-10-31" }, "topics": [ "adoption-and-usage", "ai-across-the-company" ], "functions": [ "company-wide" ], "figures": [], "context": null, "url": "https://the-ai-record.com/passages/openai-long-time-we-had-capability-overhang-models-2026" }, { "id": "openai-number-one-thing-changing-people-starting-use-2026", "text": "The number one thing that is changing is that people are starting to use threads for much longer, and this longer usage has been a breakthrough. It's surprising to see the sheer length of time that people spend on a thread – even days! They often set a goal and then have the model crank.", "speaker": "Andrew Ambrosino", "role": "Lead, Desktop", "organization": "OpenAI", "aiVendor": true, "work": { "title": "Inside OpenAI's agentic software factory", "type": "press", "date": "2026-09-15", "publisher": "The Pragmatic Engineer", "locator": "1. Codex takes over at OpenAI", "url": "https://newsletter.pragmaticengineer.com/p/openai-software-factory" }, "grade": "C", "verification": { "status": "verified", "reviewedOn": "2026-10-31" }, "topics": [ "adoption-and-usage", "autonomy-and-oversight" ], "functions": [ "company-wide" ], "figures": [], "context": null, "url": "https://the-ai-record.com/passages/openai-number-one-thing-changing-people-starting-use-2026" }, { "id": "greptile-quarter-prs-largely-ai-generated-under-1-percent-2026", "text": "about a quarter of all the pull requests … in any given month were completely or at least largely generated by AI. Then I backtracked this data to the last 12 months. And it turns out that this number is growing really fast. In fact, early last year, fewer than 1% of pull requests had any evidence of being completely … generated.", "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": "04:36", "url": "https://www.youtube.com/watch?v=474j-n1Ltxc" }, "grade": "B", "verification": { "status": "verified", "reviewedOn": "2026-11-01" }, "topics": [ "ai-written-code", "adoption-and-usage" ], "functions": [ "engineering" ], "figures": [ { "metric": "share-prs-ai-generated", "value": 0.25, "unit": "share", "period": "any given month, as of the talk (about)", "definition": "pull requests Greptile reviewed that were completely or at least largely generated by AI (unit of work: PRs)", "level": "unclear" }, { "metric": "share-prs-ai-generated", "value": 0.01, "unit": "share", "period": "early last year (upper bound: 'fewer than 1%')", "definition": "pull requests Greptile reviewed with any evidence of being completely AI-generated (unit of work: PRs)", "level": "unclear" } ], "context": null, "url": "https://the-ai-record.com/passages/greptile-quarter-prs-largely-ai-generated-under-1-percent-2026" }, { "id": "figma-adoption-uneven-teams-ai-forward-others-lost-confidence-2026", "text": "the adoption is uneven. We have teams that are very AI-forward and have already transformed their entire workflows and then we have teams that are still experimenting in the earlier acts or have lost confidence", "speaker": "Eyal Blum", "role": "Software Engineer", "organization": "Figma", "aiVendor": true, "work": { "title": "How to Get Your Org to Adopt Coding Agents (Without Shipping Garbage)", "type": "talk", "date": "2026-08-28", "publisher": "AI Engineer (YouTube)", "locator": "02:11", "url": "https://www.youtube.com/watch?v=5Bn0xro2ol8" }, "grade": "B", "verification": { "status": "verified", "reviewedOn": "2026-11-01" }, "topics": [ "adoption-and-usage", "ai-across-the-company" ], "functions": [ "engineering" ], "figures": [], "context": null, "url": "https://the-ai-record.com/passages/figma-adoption-uneven-teams-ai-forward-others-lost-confidence-2026" }, { "id": "figma-best-engineer-know-pitfalls-mental-duct-tape-slower-adapt-2026", "text": "It's actually our best engineer. … they know where all the pitfalls are. They are … together with like their mental duct tape, all the places that agents are not working well and they're preventing all the really bad stuff from coming in … slower to adapt because they see all the problem …", "speaker": "Eyal Blum", "role": "Software Engineer", "organization": "Figma", "aiVendor": true, "work": { "title": "How to Get Your Org to Adopt Coding Agents (Without Shipping Garbage)", "type": "talk", "date": "2026-08-28", "publisher": "AI Engineer (YouTube)", "locator": "03:27", "url": "https://www.youtube.com/watch?v=5Bn0xro2ol8" }, "grade": "B", "verification": { "status": "verified", "reviewedOn": "2026-11-01" }, "topics": [ "adoption-and-usage", "coding-agents" ], "functions": [ "engineering" ], "figures": [], "context": null, "url": "https://the-ai-record.com/passages/figma-best-engineer-know-pitfalls-mental-duct-tape-slower-adapt-2026" }, { "id": "figma-pivoted-traditional-tool-ai-first-engineering-org-adopting-agents-2026", "text": "Figma has pivoted very strongly from being a traditional tool to an AI-first tool. But in this talk, I'm not … talk about our product, I'm … talk more about our internal organization and how our engineering org has been adopting AI agents.", "speaker": "Eyal Blum", "role": "Software Engineer", "organization": "Figma", "aiVendor": true, "work": { "title": "How to Get Your Org to Adopt Coding Agents (Without Shipping Garbage)", "type": "talk", "date": "2026-08-28", "publisher": "AI Engineer (YouTube)", "locator": "00:44", "url": "https://www.youtube.com/watch?v=5Bn0xro2ol8" }, "grade": "B", "verification": { "status": "verified", "reviewedOn": "2026-11-01" }, "topics": [ "adoption-and-usage", "ai-across-the-company" ], "functions": [ "engineering", "company-wide" ], "figures": [], "context": null, "url": "https://the-ai-record.com/passages/figma-pivoted-traditional-tool-ai-first-engineering-org-adopting-agents-2026" }, { "id": "figma-skeptics-feedback-roadmap-improve-agent-2026", "text": "because they're seeing … where you're lacking validation, where your tools fail. So, and their feedback is basically the roadmap of how to improve your agent …", "speaker": "Eyal Blum", "role": "Software Engineer", "organization": "Figma", "aiVendor": true, "work": { "title": "How to Get Your Org to Adopt Coding Agents (Without Shipping Garbage)", "type": "talk", "date": "2026-08-28", "publisher": "AI Engineer (YouTube)", "locator": "12:02", "url": "https://www.youtube.com/watch?v=5Bn0xro2ol8" }, "grade": "B", "verification": { "status": "verified", "reviewedOn": "2026-11-01" }, "topics": [ "adoption-and-usage", "leadership-and-mandates" ], "functions": [ "engineering" ], "figures": [], "context": null, "url": "https://the-ai-record.com/passages/figma-skeptics-feedback-roadmap-improve-agent-2026" }, { "id": "amazon-90-percent-used-kiro-not-the-tools-the-way-they-worked-2026", "text": "90% of these teams used Kiro, among other internal tools that we have, and what they found was it wasn't about the tools, it was about the way that they worked. The teams that achieved step function improvements intentionally changed the way that they worked, and the other simply kind of sprinkled Kiro and some of the other tools that we have on top of their existing way of working.", "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": "7:08", "url": "https://www.youtube.com/watch?v=pqlWNihgdjI" }, "grade": "B", "verification": { "status": "reported" }, "topics": [ "adoption-and-usage", "developer-productivity" ], "functions": [ "engineering" ], "figures": [ { "metric": "tool-usage-share", "value": 90, "unit": "percent", "period": "Amazon Stores pilot", "definition": "share of the pilot teams that used Kiro, among other internal tools, as the speaker states it", "level": "n/a" } ], "context": "Liguori is explaining what separated the Amazon Stores pilot teams that saw a median 4.5x improvement from the rest.", "url": "https://the-ai-record.com/passages/amazon-90-percent-used-kiro-not-the-tools-the-way-they-worked-2026" }, { "id": "amazon-decision-making-new-bottleneck-code-one-to-two-months-2026", "text": "Previously, writing code manually was the bottleneck. I find that with an Amazon, we've found the speed of decision making becomes a new bottleneck. … When it used to take nine to 12 months to build a new product, it didn't matter so much in the overall wash of things if it took two months to make the decision to build the product and then two months to approve the launch. But now, those are the bottlenecks. … Often, I find that frontier engineering teams spend more time making decisions than they do writing code.", "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": "18:45", "url": "https://www.youtube.com/watch?v=pqlWNihgdjI" }, "grade": "B", "verification": { "status": "reported" }, "topics": [ "developer-productivity", "adoption-and-usage" ], "functions": [ "engineering" ], "figures": [], "context": "Liguori is describing new organizational bottlenecks Amazon sees when coding is faster.", "url": "https://the-ai-record.com/passages/amazon-decision-making-new-bottleneck-code-one-to-two-months-2026" }, { "id": "amazon-slowing-down-to-speed-up-productivity-went-down-2026", "text": "The second one is slowing down to speed up. In almost every team that was interviewed, they reported that their productivity actually went down, as they intentionally adopted a new way of working. That's counterintuitive, right? You have to do intentional engineering work before you're gonna see that hockey stick curve in productivity improvement.", "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": "9:39", "url": "https://www.youtube.com/watch?v=pqlWNihgdjI" }, "grade": "B", "verification": { "status": "reported" }, "topics": [ "developer-productivity", "adoption-and-usage" ], "functions": [ "engineering" ], "figures": [], "context": "Liguori is describing the second of five habits that Amazon teams in the pilots and sprints built, according to the interviews she cites.", "url": "https://the-ai-record.com/passages/amazon-slowing-down-to-speed-up-productivity-went-down-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": "cloudflare-build-platform-layer-around-ai-tooling-2026", "text": "we've been trying to build … platform layer around AI tooling at Cloudflare, not just coding … but the stack that makes the tools useful and safe inside a real engineering organization.", "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": "2:10", "url": "https://www.youtube.com/watch?v=MbLdrAZFQRs" }, "grade": "B", "verification": { "status": "reported" }, "topics": [ "internal-tools", "adoption-and-usage" ], "functions": [ "engineering" ], "figures": [], "context": "Describing what his team built, in answer to a request to summarize the internal work.", "url": "https://the-ai-record.com/passages/cloudflare-build-platform-layer-around-ai-tooling-2026" }, { "id": "cloudflare-opus-4-5-maybe-was-inflection-point-2026", "text": "sometime in November, we started looking and seeing a lot more benefit for some of the models that we were trying to leverage. I think Opus 4.5 maybe was the inflection point where that then generally made it so that it was very easy to see the kind of results we were seeing and expecting.", "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": "7:54", "url": "https://www.youtube.com/watch?v=MbLdrAZFQRs" }, "grade": "B", "verification": { "status": "reported" }, "topics": [ "coding-agents", "adoption-and-usage" ], "functions": [ "engineering" ], "figures": [], "context": "Asked which month or model made AI coding tools start to work at Cloudflare; he had said the company began piloting coding assistants in mid-2025.", "url": "https://the-ai-record.com/passages/cloudflare-opus-4-5-maybe-was-inflection-point-2026" }, { "id": "cloudflare-ready-background-work-context-mcp-infrastructure-2026", "text": "the good part was that we were ready with all the background work that we were doing with respect to the building of the context and building of the right sort of MCP infrastructure internally. So when that became a reality, we started seeing a lot more adoption and because it started helping in the real work that people were doing.", "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": "6:16", "url": "https://www.youtube.com/watch?v=MbLdrAZFQRs" }, "grade": "B", "verification": { "status": "reported" }, "topics": [ "adoption-and-usage", "internal-tools" ], "functions": [ "engineering" ], "figures": [], "context": "Answering how Cloudflare reached 93% of R&D using AI tools; he has just said adoption was slow at first because the models were not good enough.", "url": "https://the-ai-record.com/passages/cloudflare-ready-background-work-context-mcp-infrastructure-2026" }, { "id": "klarna-also-reduced-canceled-contracts-over-1-700-2026", "text": "We also reduced or canceled contracts with over 1,700 suppliers following our AI adoption and standardization", "speaker": null, "role": null, "organization": "Klarna", "aiVendor": false, "work": { "title": "SEC filing (the company's own regulatory report)", "type": "filing", "date": "2026-02-26", "publisher": "SEC filing (the company's own regulatory report)", "url": "https://www.sec.gov/Archives/edgar/data/2003292/000200329226000007/klar-20251231.htm" }, "grade": "A", "verification": { "status": "verified", "reviewedOn": "2026-10-31" }, "topics": [ "adoption-and-usage", "finance-legal-operations" ], "functions": [ "operations" ], "figures": [], "context": null, "url": "https://the-ai-record.com/passages/klarna-also-reduced-canceled-contracts-over-1-700-2026" }, { "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", "aiVendor": false, "work": { "title": "earnings call transcript via Platform Aeronaut (third-party transcript site)", "type": "earnings-call", "date": "2026-01-28", "publisher": "earnings call transcript via Platform Aeronaut (third-party transcript site)", "url": "https://transcripts.platformaeronaut.com/transcripts/META-4Q25-transcript" }, "grade": "A", "verification": { "status": "verified", "reviewedOn": "2026-10-31" }, "topics": [ "developer-productivity", "measuring-impact", "adoption-and-usage" ], "functions": [ "engineering" ], "figures": [ { "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" } ], "context": null, "url": "https://the-ai-record.com/passages/meta-since-beginning-2025-weve-seen-30-increase-2026" }, { "id": "salesforce-5-decline-case-volume-12-fewer-cases-2026", "text": "a 5% decline in case volume —and 12% fewer cases than forecasted—even while product adoption grew", "speaker": null, "role": null, "organization": "Salesforce", "aiVendor": true, "work": { "title": "Salesforce (own site, webinar listing)", "type": "post", "date": "2026-10", "publisher": "Salesforce (own site, webinar listing)", "url": "https://www.salesforce.com/events/webinars/how-salesforce-uses-agentforce-to-transform-support-handoffs/" }, "grade": "B", "verification": { "status": "verified", "reviewedOn": "2026-10-31" }, "topics": [ "adoption-and-usage", "ai-support-resolution" ], "functions": [ "support" ], "figures": [], "context": null, "url": "https://the-ai-record.com/passages/salesforce-5-decline-case-volume-12-fewer-cases-2026" }, { "id": "stripe-run-around-50-000-builds-week-number-2026", "text": "we run around 50,000 builds a week, a number that is only increasing with AI adoption among our engineering teams accelerating commit rates and productivity", "speaker": "Aditya Anchuri", "role": "Tech lead, Ruby Infra Platform team", "organization": "Stripe", "aiVendor": false, "work": { "title": "Stripe developer blog", "type": "post", "date": "2026-04-09", "publisher": "Stripe developer blog", "url": "https://stripe.dev/blog/selective-test-execution-at-stripe-fast-ci-for-a-50m-line-ruby-monorepo" }, "grade": "B", "verification": { "status": "verified", "reviewedOn": "2026-10-31" }, "topics": [ "developer-productivity", "adoption-and-usage" ], "functions": [ "engineering" ], "figures": [], "context": null, "url": "https://the-ai-record.com/passages/stripe-run-around-50-000-builds-week-number-2026" }, { "id": "airbnb-every-engineer-must-able-explain-even-if-2026", "text": "every engineer must be able to explain, even if an AI generated the PR, must be able to explain what they built.", "speaker": "Ahmad Al-Dahle", "role": "Chief Technology Officer", "organization": "Airbnb", "aiVendor": false, "work": { "title": "Latent Space (independent AI engineering publication)", "type": "interview", "date": "2026-10-02", "publisher": "Latent Space (independent AI engineering publication)", "url": "https://www.latent.space/p/airbnb" }, "grade": "C", "verification": { "status": "verified", "reviewedOn": "2026-10-31" }, "topics": [ "coding-agents", "adoption-and-usage" ], "functions": [ "engineering" ], "figures": [], "context": null, "url": "https://the-ai-record.com/passages/airbnb-every-engineer-must-able-explain-even-if-2026" }, { "id": "openai-big-theme-past-months-everything-now-coding-2026", "text": "The big theme of the past months has been that everything is now a coding agent. Whether the visible code is your output or not, agents write your artifacts.", "speaker": "Andrew Ambrosino", "role": "Lead, Desktop", "organization": "OpenAI", "aiVendor": true, "work": { "title": "Inside OpenAI's agentic software factory", "type": "press", "date": "2026-09-15", "publisher": "The Pragmatic Engineer", "locator": "1. Codex takes over at OpenAI", "url": "https://newsletter.pragmaticengineer.com/p/openai-software-factory" }, "grade": "C", "verification": { "status": "verified", "reviewedOn": "2026-10-31" }, "topics": [ "ai-across-the-company", "adoption-and-usage" ], "functions": [ "company-wide" ], "figures": [], "context": null, "url": "https://the-ai-record.com/passages/openai-big-theme-past-months-everything-now-coding-2026" }, { "id": "anthropic-most-usage-delegating-via-tagging-multiplayer-async-2026", "text": "But most usage is actually much more delegating via tagging… And then more advanced version is really trying to think of it as a teammate that is actually … has memory and can be proactive. And that's just really changed how we operate internally. It's much more like this multiplayer async proactive way than it is most people off in their own CLIs.", "speaker": "Mike Krieger", "role": "Head of Anthropic Labs", "organization": "Anthropic", "aiVendor": true, "work": { "title": "How Anthropic Builds: Lessons from Labs", "type": "interview", "date": "2026-07-02", "publisher": "AI Engineer (YouTube)", "locator": "8:57", "url": "https://www.youtube.com/watch?v=qqrk7CtkuIw" }, "grade": "C", "verification": { "status": "verified", "reviewedOn": "2026-10-31" }, "topics": [ "coding-agents", "adoption-and-usage" ], "functions": [ "engineering", "company-wide" ], "figures": [], "context": "Describing how people at Anthropic work with Claude. The recording's transcripts render the name of what is being tagged unclearly, so the passage is cut at 'tagging'.", "url": "https://the-ai-record.com/passages/anthropic-most-usage-delegating-via-tagging-multiplayer-async-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." ] }