daliusd

Sad that it is Chinese one.

OK I had Samsung that was OK. Later after upgrades it became unusable, but that's it.

I doubt I would get the same quality and reliability. Good Android phones are equally expensive and it is very hard to know which are actually good without doing research. As well I had bad experience with some Google Pixel model.

I have 5 years old iPhone SE2020 that is relatively cheap having in mind that is 5 years old. None of Androids served me that long. Only Motorola tried, but water killed it. Water has not killed iPhone when my son threw it into pond. Which Android is that good, practically speaking?

Create extension that does that. AI can do that for you in 10 minutes

Maybe it is language specific? Maybe LLMs have a lot of good JavaScript/TypeScript samples for training and it works for those devs (e.g. me). I heard that Scala devs have problems with LLMs writing code too. I am puzzled by good devs not managing to get LLM work for them.

I wonder what do you mean by "if you hit compact". Claude Code does not show used tokens.

This is where engineering practices help. Based on 1.5 years data from my team I can say that I see about 30% performance increase on mature system (about 9 years old code base), maybe more. The interesting stuff - LLMs is leverage, the better engineer you are the more you benefit from LLM.

I guess I am kind of "AI evangelist" in my circles (team, ecosystem and etc). I personally see benefits in "AI" both for side-projects and main work. However according to my last measurements improvements is not dramatic, it is huge (about 30%), but not dramatic. I share my insights purely to have less on my shoulders (if my team members can do more it is less for me to do).

In some cases, that’s true, but sometimes you need to update cutting rules because of law changes, or you saw different way of cutting for example. There are cases where this is not one time investment. What I agree with that cutting-it-yourself became significantly cheaper

I wanted to try this locally as well so I have asked AI to write CLI for me: https://github.com/daliusd/qtts

There are some samples. If you have GPU you might want to fork and improve this, but otherwise slow, but usable on CPU as well.

How much is “much more”. It is still a number.

Claude is great, but you still need a developer to ripe the benefits. And it is not magic - I see productivity increase of about 30% in my team.

Looks like default OpenCode / Claude Code behavior with Claude models. Why the extra prompt ?

I am working on invoicing web app https://www.haiku.lt . Currently focusing on marketing and EU e-invoicing part.

It will be shoved into your life anyway. You might like it or not, but the only safe choice is to learn and understand it IMHO.

About usage: it looks like web development gets benefits here, but other areas are not that successful somehow. While I use it successfully for Neovim Lua plugins development, CLI apps (in JS) and shell development (WezTerm Lua + fish shell). So I don't know if:

a) it simply has clicked for me and it will click for everyone who invests into it;

b) it is not for everybody because of tech;

c) is it not for everybody because of mindset;

There is Browser MCP that works reasonably well: https://browsermcp.io/

What's the difference?

I wonder why people have such completely different experience with LLM

Sometimes. Usually LLM does exactly what I ask it. There is not like there are million ways - usually 4-10.

So does autocomplete. Why not treat LLM as next autocomplete iteration?

What’s your take on the fact that everyone around gets this boost? I feel the same boost but in our company we had little competition using llm - team I was leading won, but victory was not decisive but quite minimal.

Thanks. I was about to write something of mine own, but if there is something already for e-invoicing, then maybe it is even easier to implement.

Actually, it's not universal and depends if it is B2G, B2B or B2C. The last one (B2C) is not enforced basically in EU (except Romania, but there is no EU requirement for B2C).

Google says following:

In some member states, like Germany, the EDIFACT format, when compliant with the EN 16931 data model, is accepted as a valid e-invoice format.

EN 16931 defines what information needs to be in an invoice (the data model), while EDIFACT INVOIC defines how that information is structured and formatted for electronic transmission (the syntax).

As far as I understand there are multiple XML invoice formats and EN 16931 accepts at least two: UBL and CII. At least in theory. I have no idea how it is going to work out in practice, but I will learn the hard way :-) I have invoicing software as side-project and I have decided to make it usable in EU.

I use AI successfully in two projects:

* My 5 years old project: monorepo with backend, 2 front-ends and 2 libraries

* 10+ years old company project: about 20 various packages in monorepo

In both cases I successfully give Claude Code or OpenCode instructions either at package level or monorepo level. Usually I prefer package level.

E.g. just now I gave instructions in my personal project: "Invoice styles in /app/settings/invoice should be localized". It figured out that unlocalized strings comes from library package, added strings to the code and messages files (added missing translations), however has not cleaned up hardcoded strings from library. As I know code I have written extra prompt "Maybe INVOICE_STYLE_CONFIGS can be cleaned-up in such case" and it cleaned-up what I have expected, ran tests and linting.

What alternative? Switching requires something what is better 10x

Maybe there are subreddits for that?

I really feel the same about LLM generated code: LLM does not know what is good, it does not have `taste`. When I explain what's wrong with LLM I use the same word `taste` and it is kind of amusing that someone has the same feeling.

So why this matter if code works? If you will not look at it anymore then no problem at all, but that's definition of dead code that does not need support and will not be used anymore. I have projects that I do not support for years, but I can return to them anytime and work on them, because they age well like wine.

Well if you do it once then yes, but if you automate this process it is different. E.g. I do this with YouTube videos, because watching 14 minutes video or reading 30 seconds summary is time saver. I still watch some videos fully, but many of them are not worth it.

So in summary I think it was just part of automated process (maybe) or it will become one in the future.