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Chronicles

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At LlamaCon, Satya Nadella says 20% to 30% of code in Microsoft's repositories was AI-written, and Microsoft was seeing more progress in Python and less in C++

Microsoft CEO Satya Nadella said that 20%-30% of code inside the company's repositories was “written by software” — meaning AI …

TechCrunch Maxwell Zeff

Context & Ripple Effects

Microsoft had already positioned AI as a product-wide platform strategy through its plan to embed OpenAI tools across its products, while GitHub reported meaningful developer uptake from Copilot in an earlier measure of AI-assisted code creation. This is a more concrete indication that the tooling is affecting Microsoft's own engineering output.

The split between Python and C++ matters because it shows that AI-assisted development is not progressing uniformly across a single software organization; language and codebase characteristics remain material constraints.

First-order effects

  • Microsoft can point to AI-generated code as an internal operating metric rather than only a customer-facing product claim, while its engineering teams must manage review and quality processes for a larger software-produced share of repositories.
  • Python-oriented work is advancing faster than C++-oriented work in Microsoft's reported experience, creating uneven near-term benefits across teams and codebases.

Second-order effects

  • Developer-tool vendors and enterprise buyers will increasingly evaluate coding AI by performance across particular languages and repository contexts, not a single headline adoption rate.
  • The uneven language result raises the value of workflows that combine generation with code review, testing and maintenance, especially for lower-progress codebases.

Third-order effects

  • If internal adoption measures like this become common, software organizations may shift from treating coding assistants as optional productivity tools to operating them as managed parts of the engineering process.
  • The durable competitive question may become which companies can deploy AI across their existing developer surfaces and validate its output reliably, rather than which model can generate code in isolation.

The trend: This is one data point in the industrialization of AI-assisted software development, where deployment and governance inside established engineering workflows matter as much as model capability.

Discussion

  • @bagder@mastodon.social @bagder@mastodon.social on mastodon
    “Microsoft CEO says up to 30% of the company's code was written by AI.”  —  It can't be 30% by plain math.  Just replacing 30% of existing code with new code takes (many) years, and then we include all produced code.  If they ONLY used AI to write all code for the last few years,…
  • @taylordbarkley Taylor B. on x
    I'm at LlamaCon at Meta HQ today. Two fascinating slides with the negative and then the positive headlines on open source AI models. [image]
  • @levie Aaron Levie on x
    The reason why going AI-first as a company is so important now is best captured by Paul Graham's startup advice of “live in the future, then build what's missing.” AI-first companies will see new problems to solve soonest, and that flywheel will only compound over time.
  • @apphil Philipp Kandal on x
    Tiny models, massive impact! Watching Zuck and Satya at LlamaCon break down how gigantic AI can fit comfortably on your laptop—with 95% efficiency intact—is mind-blowing. Local AI is officially the new frontier! [image]
  • @tonytico Tony Murillo on x
    Mark Zuckerberg and Satya Nadella at Llamacon @Meta “AI is still the best tool we have for the unsolved problems of the world.” [image]
  • @codebypoonam Poonam Soni on x
    LlamaCon just happened, and it was INSANE This will transform the future of coding. 13 Wild examples so far (Don't miss the 5th one) [image]
  • r/StockMarket r on reddit
    Satya Nadella says as much as 30% of Microsoft code is written by AI
  • r/linux r on reddit
    Microsoft CEO says up to 30% of the company's code was written by AI |  TechCrunch
  • r/microsoft r on reddit
    Satya Nadella says as much as 30% of Microsoft code is written by AI
  • r/technology r on reddit
    Microsoft CEO says up to 30% of the company's code was written by AI |  TechCrunch
  • r/theprimeagen r on reddit
    Satya Nadella says as much as 30% of Microsoft code is written by AI
  • @badlogic Mario Zechner on bluesky
    For this to work, you messages must be decrypted on your device and are the send to Meta's “super secure and isolated cloud” for processing via an LLM.  —  “People just submitted it.  They trust me.  I don't know why.  Dumb fucks” [embedded post]
  • @couts Andrew Couts on bluesky
    NEW: WhatsApp has created a new system for processing AI summaries and message suggestions for end-to-end encrypted chats that has similarities to Apple's Private Cloud Compute.  But the differences introduce risks. @lhn.bsky.social reports: www.wired.com/story/whatsa...
  • @matthewdgreen Matthew Green on bluesky
    Good article about the new AI processing features being added to WhatsApp soon. www.wired.com/story/whatsa...
  • @alexeheath.com Alex Heath on bluesky
    Meta is releasing a standalone mobile app for its ChatGPT competitor, Meta AI.  —  A Discover feed shows interactions that others (including your IG/FB friends) are having with the assistant.  Meta tells me the goal is to show “people what they can do with it.” www.theverge.com/a…
  • @matthew_d_green @matthew_d_green on x
    We've lived in a world of end-to-end encrypted messaging, and (I've said before) there's a pretty strong push to move us to “end-to-HSM”. This makes me super nervous, because it means huge amounts of private message data pooling in centralized servers.
  • @matthew_d_green @matthew_d_green on x
    I have to admit: the addition of off-device gen-AI to encrypted messengers gives me some anxiety. It honestly makes me want to 🥃.
  • @matthew_d_green @matthew_d_green on x
    Good article about the new AI processing features being added to WhatsApp soon. https://www.wired.com/...
  • r/artificial r on reddit
    WhatsApp Is Gambling That It Can Add AI Features Without Compromising Privacy
  • @prietschka Paul Rietschka on bluesky
    You know what we need?  —  You know what everyone has been pining for?  —  Yet another bespoke AI API!  —  I am so happy to see such movement in the sector.  Things are in no way a quagmire of confusing interfaces representing a staggering amount of wasted effort.  —  Not at all.…
  • @levie Aaron Levie on x
    Great to see more and more momentum on open weights AI in the enterprise. Box AI now supports Llama 4, now available in the Box AI Studio.
  • @altryne Alex Volkov on x
    Meta before: we are not in the API business Meta today: [image]
  • r/LocalLLaMA r on reddit
    No new models in LlamaCon announced