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My AI Adoption Journey

mitchellh.com

171–180 of 420 posts

Re: My AI Adoption Journey

#171
post #79

Earlier quoted context omitted.

Architects went from drawing everything on paper, to using CAD products over a generation. That's a lot of years! They're still called architects. Our tooling just had a refresh in less than 3 years and it leaves heads spinning. People are confused, fighting for or against it. Torn even between 2025 to 2026. I know I was. People need a way to describe it from 'agentic coding' to 'vibe coding' to 'modern AI assisted s…

> We don't call architects 'vibe architects' even though they copy-paste 4/5th of your next house and use a library of things in their work! > We don't call builders 'vibe builders' for using earth-moving machines instead of a shovel... > When was the last time you reviewed the machine code produced by a compiler? Sure, because those are categorically different. You are describing shortcuts of two classes: boilerplat…

I think you are right in placing emphasis on delegation.

There’s been a hypothesis floating around that I find appealing. Seemingly you can identify two distinct groups of experienced engineers. Manager, delegator, or team lead style senior engineers are broadly pro-AI. The craftsman, wizard, artist, IC style senior engineers are broadly anti-AI.

But coming back to architects, or most professional services and academia to be honest, I do think the term vibe architect as you define it is exactly how the industry works. An underclass of underpaid interns and juniors do the work, hoping to climb higher and position themselves towards the top of the ponzi-like pyramid scheme.

Re: My AI Adoption Journey

#172

Earlier quoted context omitted.

"When was the last time you reviewed the machine code produced by a compiler?" Compilers will produce working output given working input literally 100% of my time in my career. I've never personally found a compiler bug. Meanwhile AI can't be trusted to give me a recipe for potato soup. That is to say, I would under no circumstances blindly follow the output of an LLM I asked to make soup. While I have, every day of…

> Compilers will produce working output given working input literally 100% of my time in my career. In my experience this isn't true. People just assume their code is wrong and mess with it until they inadvertently do something that works around the bug. I've personally reported 17 bugs in GCC over the last 2 years and there are currently 1241 open wrong-code bugs. Here's an example of a simple to understand bug (not…

These are still deterministic bugs, which is the point the OP was making. They can be found and solved once. Most of those bugs are simply not that important, so they never get attention.

LLMS on the other hand are non-deterministic and unpredictable and fuzzy by design. That makes them not ideal when trying to produce output which is provably correct - sure you can output and then laboriously check the output - some people find that useful, some are yet to find it useful.

It's a little like using Bitcoin to replace currencies - sure you can do that, but it includes design flaws which make it fundamentally unsuited to doing so. 10 years ago we had rabid defenders of these currencies telling us they would soon take over the global monetary system and replace it, nowadays, not so much.

Re: My AI Adoption Journey

#173
post #160

Earlier quoted context omitted.

Maybe. But it's been 3 years and it still isn't good enough to actually trust. That doesn't raise confidence that it will ever get there.

You need to put this revolution in scale with other revolutions. How long did it take for horses to be super-seeded by cars? How long did powertool take to become the norm for tradesmen? This has gone unbelievably fast.

I think things can only be called revolutions in hindsight - while they are going on it's hard to tell if they are a true revolution, an evolution or a dead-end. So I think it's a little premature to call Generative AI a revolution.

AI will get there and replace humans at many tasks, machine learning already has, I'm not completely sure that generative AI will be the route we take, it is certainly superficially convincing, but those three years have not in fact seen huge progress IMO - huge amounts of churn and marketing versions yes, but not huge amounts of concrete progress or upheaval. Lots of money has been spent for sure! It is telling for me that many of the real founders at OpenAI stepped away - and I don't think that's just Altman, they're skeptical of the current approach.

PS Superseded.

Re: My AI Adoption Journey

#174
post #112

Earlier quoted context omitted.

Give it a read, he mentions briefly how he uses for PR triages and resolving GH issues. He doesn't go in details, but there is a bit: > Issue and PR triage/review. Agents are good at using gh (GitHub CLI), so I manually scripted a quick way to spin up a bunch in parallel to triage issues. I would NOT allow agents to respond, I just wanted reports the next day to try to guide me towards high value or low effort tasks.…

Okay I think this somewhat answers my question. Is this individual a solo developer? “Triaging GitHub issues” sounds a bit like open source solo developer. Guess I’m just desperate for an article about how organizations are actually speeding up development using agentic AI. Like very practical articles about how existing development processes have been adjusted to facilitate agentic AI. I remain unconvinced that agen…

The author of the blog made his name and fortune founding Hashicorp, makers of Vagrant and Terraform among other things. Having done all that in his twenties he retired as the CTO and reappeared after a short hiatus with a new open source terminal, Ghostty.

Re: My AI Adoption Journey

#176

For the AI skeptics reading this, there is an overwhelming probability that Mitchell is a better developer than you. If he gets value out of these tools you should think about why you can't.

I mean, not to say he's not, but by what metric?

If by company success, then Zuckerberg and Musk are better than all of us.

If by millions made, as he likes to joke/brag about... Fabrice Bellard is an utter failure.

If by install base, the geniuses that made MS Teams are among the best.

None of this is to take away from the successes of the man, but this kind of statement is rather silly.

Re: My AI Adoption Journey

#178

Earlier quoted context omitted.

"When was the last time you reviewed the machine code produced by a compiler?" Compilers will produce working output given working input literally 100% of my time in my career. I've never personally found a compiler bug. Meanwhile AI can't be trusted to give me a recipe for potato soup. That is to say, I would under no circumstances blindly follow the output of an LLM I asked to make soup. While I have, every day of…

> Compilers will produce working output given working input literally 100% of my time in my career. In my experience this isn't true. People just assume their code is wrong and mess with it until they inadvertently do something that works around the bug. I've personally reported 17 bugs in GCC over the last 2 years and there are currently 1241 open wrong-code bugs. Here's an example of a simple to understand bug (not…

This argument is disingenuous and distracts rather than addresses the point.

Yes, it is possible for a compiler to have a bug. No, that is I’m mo way analogous to AI producing buggy code.

I’ve experienced maybe two compiler bugs in my twenty year career. I have experienced countless AI mistakes - hundreds? Thousands? Already.

These are not the same and it has the whiff of sales patter trying to address objections. Please stop.

Re: My AI Adoption Journey

#179

If the author is here, please could you also confirm you’ve never been paid by any AI company, marketing representative, community programme, in any shape or form?

Bit strange that you are skeptical by default.

Isn't skeptical by default quite reasonable?
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