Issue Nº 01 — October 15, 2026

@readmodelmag
MODEL

Follow MODEL on X @readmodelmag

Tech

Is your 2023 startup already legacy software?

SummaryA widely shared post from investor Josh Elman says founders who started with hand-written code three years ago now feel slower than companies founded this year with code written by agents. It's an anecdote, not a study, but the argument behind it is worth taking seriously.

· MODEL Editors · 2 min read

Some links may be affiliate links. Disclosure

Cartoon titled Museum of Ancient Software, new wing, opened October 2026. In a glass case on a pedestal sits an old laptop showing code with a TODO: refactor comment and a sticky note reading ship fri?. A gold plaque reads: Early human startup, c. 2023. Every line of code typed by hand. Reviewed by people. Shipped weekly. Had paying customers, which slowed it down. A small robot points and asks: Mom, did they really write all the code themselves? A taller robot answers: Yes. Founded three years ago. Practically the Bronze Age. Footer quotes Josh Elman, Jake Gold and Richard Artoul and notes these are opinions, not data. Watermark: MODEL, readmodelmag.com.
Three years old and already behind glass, at least according to the timeline. Illustration by MODEL. Original. Image source.

On Saturday, investor Josh Elman talked to several founders who have spent the last three years building their products. They started with code written by hand. On Sunday morning he posted what they told him: they "feel behind and slower than companies that started this year with all code written by agents," and he has "never seen such an order of magnitude difference."

By Sunday evening the post had more than 170,000 views and 860 likes, and the timeline had turned it into a sport.

  • The hot take: Jake Gold predicted that "even OpenAI and Anthropic are going to start looking like pre-AI 'legacy' companies," and said startups that are pre-product-market-fit and started before 2026 "should probably just re-found the entire company/code/team."
  • The counterpoint: Richard Artoul quoted Elman and pointed at the real difference: people "who have customers already with real enterprise workloads they can't break" move slower than those who don't. "Nothing slows you down more than having paying customers."
  • The fine print: In the replies, Elman said the faster companies he's hearing about have "real traction" and are "not built in a weekend slop," but he didn't name them because he was told in confidence. He also said rebooting the code "is a good way to reboot the team too."

What this is and isn't. It's a handful of founder conversations relayed by one investor, plus reactions. Nobody published numbers, and "feel behind" is a feeling. Treat "order of magnitude" as a vibe, not a benchmark.

Our take. Artoul has the sharper point. A company that started this year with agents has no customers to break, no migrations, and no on-call pager, so of course it ships faster. That doesn't mean the older company should throw out the code it has. The practical move is the one in between: let agents take over the boring layers (tests, glue code, migrations, internal tools) where your existing customers won't feel a mistake, and keep a human reviewing anything that touches their data. If you're pre-product-market-fit and your codebase is mostly guesses you'd make differently today, a rewrite is cheaper than it used to be. If people pay you, they're the reason you're slow, and also the reason you exist.

What we did and didn't do: we read the three posts linked below and Elman's public replies on October 25, 2026. We didn't talk to the founders he mentions and can't verify the speed difference. Not sponsored; no affiliate links.

Sources

  1. Josh Elman on founders who started with manual code (Oct 25, 2026)

    X (@joshelman)

  2. Jake Gold: pre-2026, pre-PMF startups should re-found (Oct 25, 2026)

    X (@realJakeGold)

  3. Richard Artoul: "nothing slows you down more than having paying customers" (Oct 25, 2026)

    X (@richardartoul)

FREE · EVERY WEEK

The top AI tools this week, tested.

Every week MODEL's editors pick the AI tools worth your time, try them hands-on, and tell you what's good, what's not, and who it's for. Free, in your inbox.

Free. Unsubscribe anytime. Our picks are editorial and can't be bought.

The weekly three is editorial. A subscription does not buy a place in it.

  • Cartoon titled Government AI policy, Swedish edition. Subtitle: from Monday, Oct 26, ChatGPT and Claude are blocked on Government Offices staff computers. On the left, a wooden door labeled ChatGPT, Claude (browser) is crossed with yellow and black caution tape and a red sign reading Blocked from Oct 26. On the right, a door under a green sign reading Copilot, approved, stands open, and a friendly generic robot inside waves and says: Hej! Anthropic models are an option in here too. In the middle, a civil servant with a briefcase asks: So the door changed. Did the room? Footer: Sweden's Government Offices block the ChatGPT and Claude web apps from Oct 26 and point staff to Copilot, which they reviewed and tightened. Microsoft offers Anthropic models in Copilot, off by default in the EU; the government hasn't said if they're on. Some staff keep ChatGPT and Claude via the internal Intric platform. Watermark: MODEL, readmodelmag.com.

    Policy

    Sweden's government blocks ChatGPT and Claude, keeps Copilot

    From Monday, October 26, staff at Sweden's Government Offices can't open the ChatGPT or Claude web apps on work computers. They get Microsoft Copilot instead. The difference is the contract and the settings, not necessarily the model.

    · MODEL Editors

  • MODEL hot take card titled The coding agent wrote its own shell=True. Left panel, git blame, Aider v0.86.2, the two lines CVE-2026-115726 runs through: aider/io.py, notifications-command, author Paul Gauthier (aider), 2025-03-06, subprocess.run(self.notifications_command, shell=True, capture_output=True); aider/editor.py, editor, author Paul Gauthier (aider), 2025-02-24, subprocess.call(command_str, shell=True). Note: (aider) in the author name means Aider wrote the change, per Aider's docs; a human was driving. Both values can come from a repo's .aider.conf.yml, auto-loaded with no trust prompt. Right panel, the numbers: 8.5 High, CVSS 4.0, VulnCheck, Oct 23; 85% of v0.76.0 code written by Aider, the release that added notifications-command; 0 comments on the GitHub issue since Oct 20; no fix, latest release 0.86.2, Feb 12. Footer: Cloned a repo you didn't write? Read .aider.conf.yml first.

    Hot take

    Aider's new CVE runs through shell=True lines Aider wrote itself

    CVE-2026-115726 lets a cloned repo run shell commands on anyone who starts the Aider coding agent inside it. We read the git history: both shell=True calls the exploit goes through were authored by Aider. The real bug is that nobody asked who controls the string.

    · MODEL Editors

  • Two-panel cartoon titled Your old gaming GPU, doing AI math. Subtitle: modders found a half-rate limit on some tensor math in RTX 20/30/40 cards. Left panel, 2020 - last week: a graphics card drawn as a little car, its two fans as wheels, strains with a red handbrake lever pulled up, a sign reading Handbrake: on, FP16/BF16 to FP32 at 1/2 rate, smoke puffing behind, saying: I'm giving it everything! Right panel, this week: a laptop shows make install and gpu_unlock.targets=all; the handbrake is down and the smiling card speeds off under a yellow sign reading 2x* tensor speed!, asking: Wait. Who was holding me back? Footnote: *Some matrix math only. Games: same FPS. Chatbot typing speed: about the same. Reading your prompt: +14-36% in user reports. Warranty: probably not. Footer: open-source Linux kernel modules gpu-unlock (RTX 30) and gpu-unlock-ada (RTX 40) lift a half-rate limit on FP16/BF16 tensor math with FP32 accumulate; RTX 4090 in the project's test 165.6 to 330.8 TFLOPS; INT8 and plain FP32 unchanged. Generic card, no logos. Watermark: MODEL, readmodelmag.com.

    Tech

    Your old gaming GPU was doing AI math with the handbrake on

    Open-source Linux kernel modules lift a half-rate limit on one kind of tensor math in GeForce RTX 20, 30 and 40 cards. An RTX 4090 doubles in that test, from 165.6 to 330.8 TFLOPS. Your games and your chatbot's typing speed stay about the same.

    · MODEL Editors