This had a ton of LLM-ese in it, so, here's an LLM explaining it. I read it, agreed, then read it again for LLM-ese, then shared it. I recommend this pattern when using LLMs. Especially when claiming you'll replicate the role of a 9 figure company with an LLM.

LLM generated TL;DR: The factual sections read like a real person who knows what they're doing. The rhetorical flourishes read like someone pasted their draft into Claude and said "make it more compelling." The work deserves better than the prose it got.

LLM output given "<DOC>X</DOC> Identify parts written by an LLM"

Here are the passages that read as LLM-generated rather than naturally written:

*Overwrought dramatic pivots (LLMs love the "Not X — Y" antithesis):* - "Not an obituary — a resurrection." - "Not 'unmaintained' — officially, irreversibly, done." - "That demand doesn't disappear — it just finds its way out."

*Explicitly labeling rhetoric that should speak for itself:* - "The ironic part:" — just show the irony, don't announce it. - "The consensus in the international community is clear:" — "international community" is overbearing. "is clear" is LLM throat-clearing. - "That's the beauty of open-source licensing by design" — "That's the beauty of" is a hallmark LLM filler phrase.

*Grandiose one-liners that try too hard:* - "git clone is the most powerful spell in open source." - "a digital tombstone" - "If December was the clinical death, this February commit was the death certificate." — the metaphor was already established in the heading; extending it here is overworked.

*LLM vagueness / filler:* - "Things are different now." — says nothing. - "Consider:" as a standalone transition into the Elon/Twitter example. - "I believe the maintenance workload is manageable." — the hedging "I believe" adds nothing; just say it's manageable.

*Cliché deployment:* - "the dragon-slayer has become the dragon" (in the related-article blurb) - "Eating your own dog food is the best QA." — explaining the idiom ("dogfooding") one sentence before, then restating it as a maxim, is the LLM pattern of using a phrase and then making sure you understood it.

*The AI-hype paragraph is the worst offender:* > "With tools like Claude Code, the cost of locating and fixing bugs in a complex Go project has dropped by *more than an order of magnitude*. What used to require a dedicated team to maintain a complex infrastructure project can now be handled by *one experienced engineer with an AI copilot*."

This reads like an LLM writing about itself — vague quantification ("order of magnitude"), the buzzword "copilot," and the utopian framing are all telltale. The Elon/Twitter analogy that follows ("Consider:") makes it worse, not better.

*Overall pattern:* The technical/factual sections (the timeline table, the build instructions, the console revert explanation) read like a real person. The editorializing and rhetorical flourishes — especially the intro, the "But Open Source Endures" section, and the "AI Changed the Game" section — are where the LLM voice creeps in most heavily.