May 6, 2026
The real bug was the meeting
The bottleneck was never the code
AI made coding easy, and now everyone’s blaming the people in meetings
TLDR: The article argues that artificial intelligence can write code fast, so the real slowdown is now people agreeing on what to build. Commenters split between “obviously true,” “that title makes no sense,” and one legendary side quest about an annoying flashing red dot on the site.
A spicy essay about artificial intelligence writing code has set off a very human argument online: if software is suddenly easier to build, why doesn’t work feel faster? The author says the real slowdown was never typing code in the first place. It was always the messy, exhausting business of getting people to agree on what they actually want. In other words, the real traffic jam is meetings, plans, and vague requests that finally have to be written down clearly enough for a machine to act on.
And the comments? Instant drama. One reader flat-out asked, “Can someone explain the title?” because, to them, the article seemed to admit code used to be the bottleneck before the bottleneck moved to “context.” Another went full workplace nihilist, basically saying: if management is paid for the big decisions, let them sink the ship. Meanwhile, a more measured critic argued the piece blurs an important line: sometimes code is just a tool, but sometimes the code itself is the product, and that changes everything.
Then came the wonderfully chaotic internet energy. One commenter ignored the philosophy entirely to complain about a flashing red dot on the page, which is honestly the most relatable subplot here. Another dropped a related essay like a scholarly receipt. The overall mood? Half “this is a profound truth,” half “nice theory, but real life is messier,” with a side of “please fix your annoying website.”
Key Points
- •The article describes an experiment at .txt that evaluated structured-generation systems using token-distribution correctness instead of simple string acceptance.
- •The author says Codex produced a working first implementation of that experiment a few hours after being given the method.
- •The article argues that coding agents improve individual coding productivity but do not automatically make software organizations move proportionally faster.
- •It says the main bottleneck shifts from writing code to creating precise specifications, acceptance criteria, designs, and roadmap decisions.
- •The piece argues that as code becomes cheaper to produce, teams attempt more features and prototypes, increasing the importance of focus and shared organizational context.