How it works under the hood: stripe.dev/blog/how-api-chan….

Inside how we ship API changes at @stripe: over the years, we’ve built a highly extensible OpenAPI-based pipeline that propagates changes to our CLI, SDKs, Docs, and internal tools simultaneously.

Try cmd shift d. 👀🌝🤖

For teams who move at the speed of agents, knowledge becomes fragmented, lost to the void, and out of date as fast as its created. We built Falconer to solve that.

Craft and beauty are finally coming to internal docs. Today we're previewing Falconer: the single source of truth for company knowledge. We're still working through our waitlist, but are now excited to take on more demo requests. Engineers spend way too much time answering repeated questions and searching for outdated information. We experienced these problems during hypergrowth at Uber and Stripe and thought, "What if we applied external docs treatment to our internal docs?" That simple approach achieved pretty remarkable results for productivity. And now Falconer is building the AI-native version of those platforms for everyone. With Falconer, your internal docs are: - In one place - Always up to date - Easy to find - Synced with your data Coding agents allow us to generate more code faster than ever...but that code is poorly understood and out of step with the company's crown jewels: business context and tribal knowledge. Falconer's mission is to connect teams and agents with a shared memory system—always available and always accurate. We're working on it, and will have much more to share soon.

New as of today: @stripe MCP in @OpenAI Responses API. Just plop in your API key and prompt Stripe in your agentic workflows. Here’s a quick demo. (Feedback and feature requests welcome!)

In-depth technical details on how we built @stripe's AI assistant for VS Code, including retrieval, evals, measurement, and how we embedded Q&A data from our Discord channel: stripe.dev/blog/stripes-ai-a…

We’ve added /llms.txt and Markdown to @stripe docs: docs.stripe.com/llms.txt Use the .md pages to quickly move Stripe knowledge into your LLM of choice. 📄

Bonus #20, back at Bowery where we started, 13 hours later. Thanks for following along, see you again next year

19, Union Square ◼️, sprinted over here, sauna was filled with dudes so left immediately

18! E 34th St, one more left

17, Midtown East. All these crunches are starting to look the same, two more to go

16 done - E 59th - quick refuel w some energy waffle shit and Gatorade

15! E 66st 😈, feeling good, only four more

Number 14, finished E 81st, back on the East side, in the homestretch, spirits are good

Lucky 13 for W 83rd. We took a long break to charge our phones. This isn’t fun anymore

12! W 54th, our phones our about to die and we are too

Number 11, W 38th, this is starting to suck

10, Chelsea, back in Manhattan, hour behind, halfway done

Number 9, Greenpoint, last one in Brooklyn ✅, Lunch McCarren park time