drodgers

Title could be Old Man Yells At Cloud.

I appreciate the subjective PoV, but there's not enough engagement with the real possibilities/economics/consequences etc. here to make this a worthy read.

It should just accept a docker container (which normal lambdas can) or a WASM blob that exposes HTTP over a standard port.

Could use optional headers for extra integration points (eg. better per-request resource usage tracking for scaling).

> what are they afraid of?

That AI will disempower humans.

> Gemini

That's definitely part of your problem.

In my recent experience, error rates for astra/fable are at or below human level. Just like when directing humans, it pays to ask probing questions ('Are you sure about X?', 'Did you check for Y?', 'Please run Z just to double check.') if you really care about the result being correct.

> spent millions on AI contracts

The key question is how much value has been delivered on the other end for a given cost. Well used, tokens would be cheap at 10x the price right now.

Skill issue.

If you make an effort to use the new tools effectively, the gains are wild. Don't fall into a grumpy luddite trap, the train is leaving the station and you'll struggle to catch up if you don't learn and grow.

Not using AI for software development in 2027 will be like only knowing how to program via punchcard in 2010.

It's new. It's different. It's hard. It's your job. Learn how to use it effectively, embrace the new abundance mindset.

But the only one that matters?

Seems like this is delivering business value.

'If you can't build a TODO list app using only punchcards, then you can't do your job...'

Obviously our ambitions expand due to better tools. I now commit to and deliver much more work than before LLMs, and — before then — ditto for frontend frameworks, generation 4 languages etc.

There are projects I now start without thinking twice that I never would have considered a few years ago.

That's what productivity looks like, and it makes you more valuable, and your job more secure (up until the ASI kills us all...).

Don’t read long form content on mobile then? IDK what else to say.

This is really cool!

Now I'm trying to stop myself from finding an excuse to spend upwards of $30k on compute hardware...

MacOS has been moving more and more in this direction, and it’s good.

> What am I doing wrong

Trying two things and giving up. It's like opening a REPL for a new language, typing some common commands you're familiar with, getting some syntax errors, then giving up.

You need how to learn to use your tools to get the best out of them!

Start by thinking about what you'd need to tell a new Junior human dev you'd never met before about the task if you could only send a single email to spec it out. There are shortcuts, but that's a good starting place.

In this case, I'd specifically suggest:

1. Write a CLAUDE.md listing the toolchains you want to work with, giving context for your projects, and listing the specific build, test etc. commands you work with on your system (including any helpful scripts/aliases you use). Start simple; you can have claude add to it as you find new things that you need to tell it or that it spends time working out (so that you don't need to do that every time).

2. In your initial command, include a pointer to an example project using similar tech in a directory that claude can read

3. Ask it to come up with a plan and ask for your approval before starting

Eh. This is true for humans too and doesn’t make humans useless at evaluating business plans or other things.

You just want the signal from the object level question to drown out irrelevant bias (which plan was proposed first, which of the plan proposers are more attractive, which plan seems cooler etc.)

Love it! I've been looking for an excuse to dive into AI planning for robotics, and this looks like it will make it easy to get started.

Just one question: does the power supply have a 220/240v option (I'm in Australia)?