$77,000 per developer per year.

Stripe found engineers spend 43% of their time on coordination and maintenance. For a team of 15, that's $1.15M/year on people talking to each other about services that talk to each other. Not features. Not product. Coordination.

Every new service adds connection points that compound the tax. Two services: 1 connection. Twenty services: 190.

The fix is not more process. It's fewer services.

The full cost breakdown with case studies:
https://simplicityfirstphilosophy.substack.com/p/the-architecture-tax

Today in InfoSec Job Security News:

I was looking into an obvious ../.. vulnerability introduced into a major web framework today, and it was committed by username Claude on GitHub. Vibe coded, basically.

So I started looking through Claude commits on GitHub, there’s over 2m of them and it’s about 5% of all open source code this month.

https://github.com/search?q=author%3Aclaude&type=commits&s=author-date&o=desc

As I looked through the code I saw the same class of vulns being introduced over, and over, again - several a minute.

You vibed an app, for an audience of one. Add it to Tiny Tool Town.

But You know what Tiny Tool Town REALLY needed?

*TIKTOK MODE*

Why not mindlessly scroll awesome vibe coded apps rather than videos? Maybe one will help you or someone else!

go hit **https://tinytooltown.com** and tap "SHORTS" for TikTok/Shorts/Reels Mode

AI agent "contributes" PR to matplotlib.
PR gets rejected.
AI agent *writes and publishes blog to shame the maintainer*.

What a time to be alive.

https://github.com/matplotlib/matplotlib/pull/31132

There's a standard gag about LLM chatbots: whenever I use AI to probe a topic I know something about, it makes numerous errors; by contrast, whenever I use it to explore topics I know little about, it knows so much more!

Unrelated: while workers report or are measured to have at best modest improvements to their work when using AI, CEOs and managers say AI has many benefits to the work of their organisation.

I hereby coin the term "Ptolemaic Code" to refer to software that appears functional but is based on a fundamentally incorrect model of the problem domain. As more code is generated by AI, the prevalence of such code is likely to increase.
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#TheGeneralTheoryOfSlop