BREAKING🚨: Astronaut Captures Rare Luminous Phenomenon from Earth Orbit.
From hundreds of kilometers above Earth, an astronaut has photographed one of the planet’s most elusive atmospheric displays—an ethereal burst of light that flickers above thunderstorms. 😮
These phenomena, known as sprites or blue jets, briefly illuminate the upper reaches of the atmosphere, puzzling scientists and thrilling skywatchers. Recorded in stunning detail from orbit, the image reveals the extraordinary interplay between weather, electricity, and space
"HackerOne Agentic PTaaS pairs specially trained AI agents"... specially trained on a decade worth of work from the largest pool of bug hunters on the planet.... without their consent... Maybe its time to find out how class action suits work and see if we have any ability to prevent them from using our work?
Everything we're doing to make codebases "agent-ready" (better docs, less dead code, smaller surfaces) engineers always needed too. Agents just have zero tolerance for the entropy humans learned to work around. They can't "just know" a file is outdated or a code path is dead. They take your codebase at face value, which means it finally has to be worth taking at face value.
@whoiskatrin No way!!! SWEET!
That means I don't have to lie about this being a real zellij multiplexor running inside a Cloudflare Sandbox:
https://t.co/Uw3kvjfjVM
If you are a software engineer "experiencing some degree of mental health crisis", now hear this, because I've been coding for 50 years since the days of punched cards and I have a salutary kick in your ass to deliver.
Get over yourself. Every previous "programming is obsolete" panic has been a bust, and this one's going to be too.
The fundamental problem of mismatch between the intentions in human minds and the specifications that a computer can interpret hasn't gone away just because now you can do a lot of your programming in natural language to an LLM.
Systems are still complicated. This shit is still difficult. The need for people who specialize in bridging that gap isn't going to go away.
As usual, the answer is: upskill yourself and adapt. If a crusty old fart like me can do it, you can too.
Announcing blamecount release 1.2
Audit contributions via git blame.
A wrapper around git blame that shows lines-last-toched statistics for every contributor. Optionally, generate a report that can be used in an Emacs compilation buffer to step through contribution bands for all users or for a specified user.
New in this release:
Manual page is spellchecked.
Handle repository filepaths containing spaces and shell wildcards.
Better attribution counting by skipping empty log lines.
Nobody has packaged this yet.
https://t.co/qru2APkXtM
The Astro Technology Company team — the creators of the Astro web framework — is joining Cloudflare. We’re doubling down on making Astro the best framework for content-driven websites. https://t.co/eVP7FW9Cvs
As always, a very thoughtful and well reasoned take. I read till the end.
I think the Claude Code team itself might be an indicator of where things are headed. We have directional answers for some (not all) of the prompts:
1. We hire mostly generalists. We have a mix of senior engineers and less senior since not all of the things people learned in the past translate to coding with LLMs. As you said, the model can fill in the details. 10x engineers definitely exist, and they often span across multiple areas — product and design, product and business, product and infra (@jarredsumner is a great example of the latter. Yes, he’s blushing).
2. Pretty much 100% of our code is written by Claude Code + Opus 4.5. For me personally it has been 100% for two+ months now, I don’t even make small edits by hand. I shipped 22 PRs yesterday and 27 the day before, each one 100% written by Claude. Some were written from a CLI, some from the iOS app; others on the team code largely with the Claude Code app Slack or with the Desktop app. I think most of the industry will see similar stats in the coming months — it will take more time for some vs others. We will then start seeing similar stats for non-coding computer work also.
3. The code quality problems you listed are real: the model over-complicates things, it leaves dead code around, it doesn’t like to refactor when it should. These will continue improve as the model improves, and our code quality bar will go up even more as a result. My bet is that there will be no slopcopolypse because the model will become better at writing less sloppy code and at fixing existing code issues; I think 4.5 is already quite good at these and it will continue to get better. In the meantime, what helps is also having the model code review its code using a fresh context window; at Anthropic we use claude -p for this on every PR and it catches and fixes many issues.
Overall your ideas very much resonate. Thanks again for sharing. ✌️
I’m 54, a physicist, have spent decades using mathematics to study the universe, solve problems, and build things.
If your work touches numbers, now or in the future, and you want to learn math properly, this thread shows a from-the-ground-up math you’ll actually need: