[olalonde]

I can give some recent examples.

- Significantly increased my productivity as a software engineer.

- Using it daily for Chinese-English translation. Significantly better than pre-LLM translation software. Also, great at teaching grammar, nuances, etc.

- General Q&A. Like "Googling" but much faster. This is probably the most common use case for me.

[alpha_squared]

> - Significantly increased my productivity as a software engineer.

This is exactly the point that keeps coming up that folks are struggling to grasp, myself included. How are you measuring this? It certainly makes me feel productive, but I'm not sure I can confidently say it has actually made me more productive. It's made the easy stuff a no-brainer (e.g. boilerplate, simple logic) and the moderate stuff really hard. Never mind the hard stuff. Vetting the code has become a whole other job on its own. The only folks I've found who confidently claim it increases productivity appear to be online (and without evidence), because no one in person is willing to claim that and show it.

[capnjngl]

I'll share my experience.

I've never been a developer. Dabbled in frontend web for a bit (HTML/CSS/JS, no large frameworks) and felt like if I really dedicated some time to learning how to code, I'd be pretty decent at it. It's always intrigued me, and I've always had an itch to build things, but just never found the time. I'm in marketing now - I own an agency.

Over the last 6 months since the coding models really began to step up and get good, I've built several dedicated apps to support my business:

-Profitability optimizer and forecaster based on unit economics and current ad efficiency.

-Creative strategy tool that ingests brand and product data and helps explore primary and secondary personas and emotional motivators.

-Reporting tool that processes natural language queries and connects to multiple data sources to fetch results. Can schedule reports to post directly to Slack or email.

All robust and hosted on Railway. Team members can use them. Clients can use them. OAuth via Google.

Would any of this have been possible for me before the rise of frontier LLMs? Absolutely not. Learning the frameworks alone would have taken me longer than it's taken to just... build. Rapidly build and deploy. Total game changer for me.

Oh - and I'm building a game on the side. LLMs know Godot.

[dsharlet]

I can agree with the skeptics that LLM generated code is usually crap. I rarely accept its output without significant edits unless it's truly boilerplate, and I want to avoid the need for that kind of code in the first place.

For me, the killer use case is debugging. I hate wasting time debugging something that should work except for mistakes, and now I do that probably 75% less than I used to because AI does it for me.

I don't know if it makes me that much more productive, but I certainly enjoy my work more not having to do as much tedious debugging, and it feels like I waste a lot less time doing it.

[vunderba]

I have an example I share a lot.

I have about a dozen programs that are now close to ten years old, all running quietly in the background on my computer doing various tasks. I originally wrote all of them as JavaScript/Node programs. That was fine at the time, but the memory usage really adds up, since each one needs its own V8 runtime (anywhere from 50 to 100 MB per process).

I have basically zero familiarity with Golang, but I was able to use an agentic harness to run in the background and convert every single one of those scripts into Go equivalents. Because I've accumulated lots of before-and-after data, it was easy to confirm that the new versions matched the behavior and accuracy of the originals.

End Result: memory usage dropped from tens of megabytes per program to just a couple of megabytes each.

[peab]

I've been able to build things that I otherwise would not have been able to build, in the free time that I have:

- a VST audio plugin

- a wedding website with RSVP functionality

- a relaxing game for my wife

At work, I've been able to build much more than I would have been capable of in the past. I'm a backend eng, and it allows me to build much much nicer frontends than I've ever been able to do in the past.

And before you tell me that the code is crap - it doesn't matter! It may or may not be good code, but it works and serves it's purpose very well. Anyways, I'm I'm not launching a rocket, or putting software into cars.

[olalonde]

> How are you measuring this?

I attempt a programming task with and without LLM assistance. The attempt with LLM assistance is pretty much always completed faster and cleaner.

Another example: https://news.ycombinator.com/item?id=43991777

[evdubs]

How much faster? How much cleaner? What tasks are you accomplishing?

[olalonde]

I linked to an example in the comment. In that particular case, I'd say probably 10-20x faster. I do embedded, backend, web and mobile app development.

[nevertoolate]

I also notice these things. Otoh i spend definitely less than 50% of my time typing in code so it is impossible that it gives more than 2x speedup. And sometimes i lose time babysitting and rewriting stuff so all in all it is kinda no productivity gain.

[baobabKoodaa]

Can someone bring this man a cup of Kool-Aid, stat?

[goosejuice]

> It's made the easy stuff a no-brainer (e.g. boilerplate, simple logic) and the moderate stuff really hard. Never mind the hard stuff. Vetting the code has become a whole other job on its own.

Not everyone has the same requirements, skills, usage patterns, and outcomes. It's that simple.

[shakesbeard]

What a lot of folks are struggling to understand (myself included) is how this actually reflects on the quality of life?

You're more productive? Nice ... for you or your business/employer? Do you also get more free time out of it? With all this free time you could actually travel and do a language school for 3 months. That sounds like an improvement in quality of life to me. Not better translations in that language.

The life of my family (we have a good life) hasn't become significantly improved with LLMs. We still struggle with the same problems as before. These companies don't solve the big problems of societies and that's why I feel like their value is not justified.

[Tubelord]

I've found regarding nuances I discover in language learning it will really fail me. It will tell me the incorrect path, I correct it, it apologizes, then just to see I tell it that latest one was incorrect actually, it apologizes and I can put it in an endless loop of getting it to apologize as I correct it into the opposite of something over and over.

[batshit_beaver]

> Significantly increased my productivity as a software engineer.

You’re going to have to define productivity as it applies to software engineering. With LLMs we’ve primarily seen the number of PRs over time being discussed as a proxy for LoC, as well as the speed of bootstrapping a small project. None of these have a known correlation with economic output. They just feel good, to the programmer, their manager, or both.

> Using it daily for Chinese-English translation. Significantly better than pre-LLM translation software. Also, great at teaching grammar, nuances, etc.

Yes dealing with language is the one area LLMs are actually designed for. But what’s the TAM for machine translation?

> General Q&A. Like "Googling" but much faster. This is probably the most common use case for me.

And now you’re missing any kind of traceability for the information that you “learn,” since it all gets spaghettified and then recombined into a pile of plausible slop with no attribution. Where before you had to do slightly more work to find the information you needed, now it’s available faster but you’re at complete mercy of literally 3 American companies plus the CCP for the accuracy of that information. Most people somehow seem happy with this arrangement.

[olalonde]

> You’re going to have to define productivity as it applies to software engineering.

I meant it in a colloquial way. I just get more done, faster.

> And now you’re missing any kind of traceability for the information

Modern LLM assistants provide sources and references. While it can sometimes be just "slightly faster", it can genuinely save hours of research on complex ones. Also the "slightly faster" can add up to hours saved with frequent use.