lunatechian (lunatech-ian) (Entries tagged as geek)

The Governor is Gone

nospam@example.com (Raj Shekhar) — Thu, 19 Feb 2026 16:26:18 +0000

From AI fatigue is real and nobody talks about it

Here's the thing that broke my brain for a while: AI genuinely makes individual tasks faster. That's not a lie. What used to take me 3 hours now takes 45 minutes. Drafting a design doc, scaffolding a new service, writing test cases, researching an unfamiliar API. All faster.

[..]

But my days got harder. Not easier. Harder.

[..]

Before AI, there was a ceiling on how much you could produce in a day. That ceiling was set by typing speed, thinking speed, the time it takes to look things up. It was frustrating sometimes, but it was also a governor. You couldn't work yourself to death because the work itself imposed limits.

AI removed the governor. Now the only limit is your cognitive endurance. And most people don't know their cognitive limits until they've blown past them.

ops is not a dirty word

nospam@example.com (Raj Shekhar) — Mon, 09 Feb 2026 02:24:11 +0000

From https://charity.wtf/2026/01/19/bring-back-ops-pride-xpost/

What’s wrong with operations? Ops is not a synonym for toil; it literally means “get shit done as efficiently as possible”. Every function has an operational component at scale: business ops, marketing ops, sales ops, product ops, design ops and everything else I could think of to search for, and so far as I can tell, none of them are treated with anything like the disrespect, dismissal and outright contempt that software engineering

Using llm to understand large codebases

nospam@example.com (Raj Shekhar) — Mon, 09 Feb 2026 01:45:49 +0000

From Martin Fowler :

One attendee is an SRE for a Very (Very) Large Code Base. He was less worried about people not understanding the code an LLM writes because he already can’t understand the VVLCB he’s responsible for. What he values is that the LLM helps him understand the what the code is doing, and he regularly uses it to navigate to the crucial parts of the code.

There’s a general point here:

Fully trusting the answer an LLM gives you is foolishness, but it’s wise to use an LLM to help navigate the way to the answer.