It is hard for less experienced developers to appreciate how rarely architecting for future requirements / applications turns out net-positive.

— John Carmack, a tweet in June 2021

Tags: john-carmack, software-engineering, yagni

When Google announced it had engineered AirDrop compatibility for its Pixel 10 phones late last year, the pessimists among us figured it would be a matter of days before Apple shut it down. But not only is it still working, Google has expanded the capability to the Pixel 9 series (minus the budget-oriented Pixel 9A).

As with Pixel 10 phones, owners of (almost all) Pixel 9 phones will be able to send and receive files a little more easily with Apple devices. Files sent from a Pixel to an iPhone, Mac, or iPad will appear as AirDrop transfers. On the Android side, files are handled through Quick Share. The receiving Apple device needs to be di …

Read the full story at The Verge.

Imagine turning the key or pressing the start button of your car—and nothing happens. Not because the battery is dead or the engine is broken but because a server no longer answers. For a growing number of cars, that scenario isn’t hypothetical.

As vehicles become platforms for software and subscriptions, their longevity is increasingly tied to the survival of the companies behind their code. When those companies fail, the consequences ripple far beyond a bad app update and into the basic question of whether a car still functions as a car.

Over the years, automotive software has expanded from performing rudimentary engine management and onboard diagnostics to powering today’s interconnected, software-defined vehicles. Smartphone apps can now handle tasks like unlocking doors, flashing headlights, and preconditioning cabins—and some models won’t unlock at all unless a phone running the manufacturer’s app is within range.

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Comments

It's processes and incentives that determine what happens, not any individual heroics.

I don't know why this week became the tipping point, but nearly every software engineer I've talked to is experiencing some degree of mental health crisis.

[...] Many people assuming I meant job loss anxiety but that's just one presentation. I'm seeing near-manic episodes triggered by watching software shift from scarce to abundant. Compulsive behaviors around agent usage. Dissociative awe at the temporal compression of change. It's not fear necessarily just the cognitive overload from living in an inflection point.

— Tom Dale

Tags: ai-ethics, careers, coding-agents, generative-ai, ai, llms

Introducing the Codex app

OpenAI just released a new macOS app for their Codex coding agent. I've had a few days of preview access - it's a solid app that provides a nice UI over the capabilities of the Codex CLI agent and adds some interesting new features, most notably first-class support for Skills, and Automations for running scheduled tasks.

The app is built with Electron and Node.js. Automations track their state in a SQLite database - here's what that looks like if you explore it with uvx datasette ~/.codex/sqlite/codex-dev.db:

Here’s an interactive copy of that database in Datasette Lite.

The announcement gives us a hint at some usage numbers for Codex overall - the holiday spike is notable:

Since the launch of GPT‑5.2-Codex in mid-December, overall Codex usage has doubled, and in the past month, more than a million developers have used Codex.

Automations are currently restricted in that they can only run when your laptop is powered on. OpenAI promise that cloud-based automations are coming soon, which will resolve this limitation.

They chose Electron so they could target other operating systems in the future, with Windows “coming very soon”. OpenAI’s Alexander Empiricos noted on the Hacker News thread that:

it's taking us some time to get really solid sandboxing working on Windows, where there are fewer OS-level primitives for it.

Like Claude Code, Codex is really a general agent harness disguised as a tool for programmers. OpenAI acknowledge that here:

Codex is built on a simple premise: everything is controlled by code. The better an agent is at reasoning about and producing code, the more capable it becomes across all forms of technical and knowledge work.

Claude Code had to rebrand to Cowork to better cover the general knowledge work case. OpenAI can probably get away with keeping the Codex name for both.

OpenAI have made Codex available to free and Go plans for "a limited time", during which they are also doubling the rate limits for paying users.

Tags: sandboxing, sqlite, ai, datasette, electron, openai, generative-ai, llms, ai-agents, coding-agents, codex-cli