What a hundred interviews about numerical JavaScript revealed about how projects misjudge their own users.

What V8's optimizing compilers explain about the Zen of stdlib—and why write it like C actually works.

Not applying your own rules to yourself isn't always hypocrisy. Sometimes it's just correct.

Why another JavaScript plotting library? Learn what we're building for scientific computing and data analysis—and why.

Every inconsistency in your repository is a bug in the specification you are handing your AI agent.

Building for inheritance means ensuring others can carry on the work of open source without you and thrive in your absence.

Four ways to run an open-source project—castle, clique, university, commune—and which one you're really running.

Browsers can run machine learning and GPU-accelerated workloads locally. Here's why that changes everything.

A bowtie-shaped map of how open-source contributors move from first discovery to ecosystem leadership.

Naming everyone in your open-source ecosystem—both competitors and colleagues—and following where value flows.

An ecosystem canvas makes an open-source project say who it's really for. Here's what ours surfaced about stdlib's value propositions for contributors and users—and why they're not the same.

How AI is absorbing the visible friction that open-source communities have always relied on to see—and welcome—newcomers.

We're thrilled to share that stdlib will have five contributors participating in Google Summer of Code 2026.

A philosophy of simplicity, modularity, consistency, and craft.

In this episode, I have a wonderful conversation with Ralf Gommers, a director of Quansight Labs, and he's a key contributor to NumPy. He shares his journey of how he started working on and…

A reflection on stdlib's participation in the 2025 METR study on AI's impact on open-source developer productivity.