Author: Joseph Bou-Younes

  • What’s left for software engineering…

    “What’s left is finding out what people actually want, and only they know”

    –We are all product engineers now – Laurie Voss

  • Figuring out what to build is the hard part

    “For a while, I must admit, it looked as if software developer roles like mine were done for. How could we fight against tireless robots? But our industry is slowly realizing that making truly cutting-edge software still requires humans to think and work together, to maximize their skill sets and to practice their respective crafts. A.I. can write very good software, but it also makes it easy to do someone else’s job badly, which is part of why all those projects fail. Now that everyone can code, it’s become clearer why many shouldn’t.”

    -AI Slopware is everywhere now. Nobody is using it (NY Times)

  • American Oligarchs or the Chinese Communist Party

    In China, the pecking order is clearer. A founder who flies too high is grounded; a platform that forces monopolizing behavior and mistreats its workers gets punished; when the government rolls out “common prosperity,” tech companies rush to pledge in public.

    AI doomerism, and opposition to data centres, are usually manifestations of the fear of American oligarchy.

    In China, The Party is very much in charge, not the oligarchs (Bloomberg.com Gift Link via Techmeme).

  • It’s your work product

    I don’t care if you wrote something with Claude, ChatGPT or Ouija Board: it’s your work product. Comport yourself accordingly, and don’t waste my time. There are no lossless transformations of natural-language text.

  • This absolutely sends me

    https://gruhn.me/blog/2026-08-03/

    Too often I ask a question in Slack or leave feedback under a merge/pull request or argue with friends in a WhatsApp group and get back:

    > Claude said: [giant response verbatim]

    Please don’t do this. I mean, I’ve done this. But I’ve been on the receiving end too many times now. This is not adding value. I can talk to Claude myself. It’s going to be faster and I get to control the context. I don’t need a meat proxy in between.

    Honestly, if you do this I will 100% drag you. It might not be right away, but it will happen. Probably when you least expect it.

  • Coupling models and harnesses

    This is very interesting. The more time I spend in Claude Code, the more I thought that coding agent harnesses were the perfect sort of software to be open sourced. The blossoming popularity of Pi seemed to reinforce this. But then…

    Armin reports on a weird problem he ran into while hacking on Pi: 

    The short version is that newer Claude models sometimes call Pi’s edit tool with extra, invented fields in the nested edits[] array. And not Haiku or some small model: Opus 4.8. The edit itself is usually correct but the arguments do not match the schema as the model invents made-up keys and Pi thus rejects the tool call and asks to try again.

    That alone is not too surprising as models emit malformed tool calls sometimes. Particularly small ones. What surprised me is that this is getting worse with newer Anthropic models as both Opus 4.8 and Sonnet 5 show it but none of the older models. In other words, the SOTA models of the family are worse at this specific tool schema than their older siblings.

    Armin theorizes that this is because more recent Anthropic models have been specifically trained (presumably via Reinforcement Learning) to better use the edit tools that are baked into Claude Code. This has the unfortunate effect that other coding harnesses, such as Pi, may find that their own custom edit tools are more likely to be used incorrectly.

    – Simon Willison, Better Models, Worse Tools

  • Understanding the amount of bullshit work

    AI is going to help humanity by revealing just much human time is spent on bullshit work.

    Consulting giant Accenture is trying to figure out how to stop non-technical workers from blowing through companies’ AI token budget on trivial tasks like converting PDFs to presentation slides, according to leaked audio obtained by 404 Media. Across the industry Accenture is seeing “soaring token spend,” according to the audio.

    – The Tokenpocalypse Is Here: Companies Are Scrambling To Stop Spending So Much on AI

  • Local journalism

    South Shore news: AI-generated newsletter has paying audience (Boston Globe)

    This feels like the future. AI agents, directed by assignment editors, gather local intelligence and context. Other agents draft and edit stories. Humans handle quality control and accountability. Meanwhile, separate software tracks traffic and prominence, feeding signals back to adjust agent behavior — optimizing for the business goals or cultural impact that publication leadership is after.

  • The new skill: task imagination

    With models that can run for days, NLW argues we’ll all have to up-level ambition — and become token-efficiency optimizers who match models to use cases. Nate B. Jones’s framing: most of us have nothing that’s ever taken even an hour on AI, so the scarce skill is imagining tasks worth handing to a model that works for days.

    — The AI Daily Brief · https://aidailybrief.ai/e/2026-06-10#task-imagination