upvote
It's an ex-CEO of Github. He can raise $60m on any idea.
reply
> I don’t see how the average engineer has the energy or motivation to even understand these tools, never mind meaningfully compare them

This is why I use the copilot extension in VS code. They seem to just copy whatever useful thing climbs to the surface of the AI tool slop pile. Last week I loaded up and Opus 4.6 was there ready to use. Yesterday I found it has a new Claude tool built in which I used to do some refactoring... it worked fine. It's like having an AI tool curator.

reply
Maybe just learning 1 or 2 of such tools is enough ?
reply
Probably, but which ones, do we get to a place where you have X years experience in Gastown development, but I only have Y years experience in Entire.

I also keep getting job applications for AI-native 'developers' whatever that means.

reply
You will learn a lot about the underlying LLM / technology whichever tool you use though
reply
History has shown that by delaying learning the next greatest tech, you may avoid learning it altogether.
reply
Your point about the overwhelming proliferation of AI tools and not knowing which are worth any attention and which are trash is very true I feel that a lot today (my solution is basically to just lean into one or two and ask for recommendations on other tools with mixed success).

The “I’m so tired of being told we’re in another paradigm shift” comments are widely heard and upvoted on HN and are just so hard to comprehend today. They are not seeing the writing on the wall and following where the ball is going to be even in 6-12 months. We have scaling laws, multiple METR benchmarks, internal and external evals of a variety of flavors.

“Tools like codex can be useful in small doses” the best and most prestigious engineers I know inside and outside my company do not code virtually at all. I’m not one of them but I also do not code at all whatsoever. Agents are sufficiently powerful to justify and explain themselves and walk you through as much of the code as you want them to.

reply
Yeah, I’m not disputing that AI-assisted engineering is a real shift. It obviously is.

My issue is that we’ve now got a million secondary “paradigm shifts” layered on top: agent frameworks, orchestration patterns, prompt DSLs, eval harnesses, routing, memory, tool calling, “autonomous” workflows… all presented like you’re behind if you’re not constantly replatforming your brain.

Even if the end-state is “engineers code less”, the near-term reality for most engineers is still: deliver software, support customers, handle incidents, and now also become competent evaluators of rapidly changing bot stacks. That cognitive tax is brutal.

So yes, follow where the ball is going. I am. I’m just not pretending the current proliferation is anything other than noisy and expensive to keep up with.

reply