Coding agents changed what it costs to build mobile apps twice. Here’s why Shopify is moving from React Native back to Swift and Kotlin.

Writing about the big beautiful mess that is making things for the world wide web.

I’ll admit that until fairly recently I had no idea git worktrees existed. They’ve been part of git for a decade1 and I never once needed them. Feature branches did the job just fine - create a branch, do the work, merge it, delete it, and start over. What finally introduced me to worktrees was, of all things, AI coding agents. Tools like Claude Code create a worktree for each task, so several agents (or several sessions of the same agent) can work on the same repo in parallel without stepping on each other - or on you. Suddenly my projects directory was full of cider-this and cider-that siblings, and I figured I should understand what’s actually going on there. They were introduced in git 2.5, released all the way back in July 2015. ↩

Build durable cloud agents with a managed Codex harness.

Stop making swap partitions. GitHub Gist: instantly share code, notes, and snippets.

We’re launching the Gemini app for Windows, the new desktop app built to work alongside your favorite tools and daily applications.

Optimismo que nos une

A collaborative AI workspace, built on your company context. Build and orchestrate agents right alongside your team's projects, meetings, and connected apps.

@tristanbuckmaster@mastodon.social 1/3 I want to record a number of points that I realized after reading up on the controversy. In fact it recalls an exchange I had with OpenAI after its non-sofic-group announcement. It exposes a serious, unanswered question about whether researchers can trust OpenAI with unpublished mathematics. I wrote in an email to Mark Sellke and Sebastien Bubeck shortly after the surprising finding of a non-sofic group using the methods of Kun and myself: “Another point is that I and a colleague in Dresden were discussing the expander matching problem and various extensions of the work with Gabor Kun actively over the last months with ChatGPT, so that we are of course curious if that was part of the training data or accessible to the reasoning process. There is a certain (frankly unacceptable) lack of transparency here; and I fear it will damage the communal process of math more than the new AI-generated results will benefit the subject.” Mark Sellke’s complete answer was: “Regarding your conversations with ChatGPT: that did not happen.” I had explicitly asked about two different things: (1) whether our conversations entered training data, and (2) whether they were accessible to the solving process. The categorical answer now looks as though it addressed only direct access under (2). No such qualification, explanation, or evidence was given. I take this as dishonesty to say the least. OpenAI now says in the Buckmaster-Alpöge case that no specific user data was accessed, but adds that it “cannot rule out that de-identified data derived from their usage of our products helped improve our models.”

Today we’re introducing SWE-2, our most advanced coding model yet. SWE-2 delivers highly competitive agentic coding performance across multiple effort…

[--[no-]external-commands] [--[no-]aliases] git help [-g|--guides] git help git. This page can be used to send.

Neki, sharded Postgres by PlanetScale, is now available in platform preview.

Many security bugs are race conditions, where multi-threaded execution has to occur with the right interleaving for a negative effect to appear. This creates...

By now it’s no surprise that Rust is of strategic importance to Microsoft. From bold mission statements when Azure CTO Mark Russinovich outlined our future strategy for native code, to millions of dollars invested by Microsoft into supporting the Rust Project, over the following years. Watch Mark’s keynote from last…

Some thoughts on Astra and newfangled long-horizon models.

Case studies from threat actors disrupted between December 2025 and August 2026 across seven areas of harm, from cyber operations to biological misuse.

Might seem simple on the face of it, but unfortunately it's pain all the way down.

YuE2 unifies symbolic and audio music generation at frontier quality. Symbolic planning turns lyrics and style into an editable score, then a full song with vocals and accompaniment.