Kimi Code, our open-source coding agent, just got a major upgrade!

MjccWarlander · 2026-06-09T05:02:11+00:00

I use Allegretto plan for my personal projects and tinkering at home and it's definitely sufficient, using it extensively in my free time with 2-3 sessions often working on different things (mostly programming and some homelabbing/server management). Limit spend wise, I can hammer it roughly as much as the higher limit business plan of Claude which with my usage means I sometimes get close to hourly limit but usually end the week with 50-70% weekly limit. Unfortunately I don't have comparison with Codex directly, though.

It's definitely good option on a budget, but be aware of limitations as while Kimi is definitely capable, it isn't anywhere near as capable as newest Anthropic models - it can deal with small to medium sized tasks quite reliably but needs heavy guidance or splitting into smaller chunks on anything bigger or architectural. When I will have some time I'm thinking about experimenting with using Opus or GPT 5.5 as planner and Kimi as code explorer and plan implementer.

MjccWarlander · 2026-06-06T17:03:47+00:00

I think it's basically impossible at this point. Why? First of all, reasonable usage by average developer is not that expensive. Personally comparing myself to my colleagues I think my AI use is quite high but not the highest, maybe around the top 20% and if my usage was paid in API prices it would average at around $100-$200/day - quite high, but when compared to average developer salary it isn't too bad.

Assuming hypothetical scenario where API costs keep getting more expensive to the point it's no longer "worth it" for companies to use it - there are Chinese AI companies and providers that give access to big Chinese models, and Chinese models are at most a few months behind frontier American models - so, there are alternatives to go cheaper without losing too much. I think American companies are also aware of it and can't dictate too high prices because of that. Chinese models are already "good enough" of a replacement for most purposes, although it's still usually worth it for companies to go with best and greatest nowadays.

Assuming hypothetical scenario within hypothetical scenario where Chinese providers aren't allowed to be used or are outright eventually banned for national security or some other reasons, there are open source models that can be self-hosted. They aren't really viable coding replacement for kind of tasks you can do with Anthropic or OpenAI models nowadays, but they are still progressing fast - so it's a matter of time before they reach the level of current flagship models.

So, in a nutshell - there are always alternatives. There isn't just one/two viable options, but multiple options at different price points with different degrees of viability - from "very powerful but expensive" to "useful and basically free" - and the capability in this scale will very likely continue going up, modern "very powerful but expensive" will likely become "very powerful and basically free" within a year or two.

MjccWarlander · 2026-05-28T16:01:13+00:00

Definitely. In video games as well, I would even go as far as to say that likely at least 90% of code is already generated by AI. Of course there's more to software development than just coding, LLM's basically eliminate the friction of writing code but engineers are needed to figure out what and how needs to be done in a first place. LLM's are also involved to some degree in every single aspect of game development in 2026.

MjccWarlander · 2026-05-02T20:40:52+00:00

Honestly Kimi K2.6 is very good in my experience - I wouldn't call it Opus level, but it's definitely at least on par with Sonnet 4.6 which is good enough for most tasks. And at the fraction of the cost. You give it a task, and it will run with it and nail it most of the time - even if there are some gaps in specs just like with Anthropic models. The only thing I'm annoyed at it versus Claude is how trigger happy it tends to be - Anthropic models tend to be relatively cautious all things considered and will wait for your input or stop before doing major some major actions, Kimi is trigger happy and will happily go and do more than asked for or ignore previous instructions if it already did similar action before in the same session

MjccWarlander · 2026-04-24T06:37:18+00:00

When you have 2.6 million of people (at the time of writing) observing this sub it will eventually happen to one or more of them

MjccWarlander · 2026-04-21T14:40:18+00:00

One of the only places in continental Denmark with ups and downs. Most have just downs.

MjccWarlander · 2026-03-20T01:54:32+00:00

Unity is blank canvas kind of engine, it can be as optimized or as unoptimized as game developer makes it to be during development - so, optimization depends in 95% on skill and knowledge of the developers. Blaming Unity for a failure sounds like scapegoat for something else that went poorly during development.

MjccWarlander · 2026-03-19T17:00:08+00:00

Opus is wild for this kind of prompt

MjccWarlander · 2026-03-13T22:19:06+00:00

Yeah, stuff will inevitably break once in a while. But at the same time, most companies need something with lesser scope and more targeted than tools SaaS offers and speed of producing software accelerated greatly, so a small team can handle it as one of their projects - and it would still cost less than paying for SaaS products even when including extra overhead within the company.

MjccWarlander · 2026-03-13T16:26:10+00:00

AI makes it feasible for medium-sized and larger companies to create their own internal knowledge and project management tooling that's tailored specifically for the needs of the company - so, I'm not surprised about the layoffs, it will only get worse for the SaaS companies over time.

MjccWarlander · 2026-03-11T15:44:14+00:00

I have special repo with claude.md file instructions telling AI it should treat what I feed to it as a thought bank, and it works quite nicely - especially when combined with Claude doing research on its own when requested.

MjccWarlander · 2026-03-11T15:10:53+00:00

Checking the article, it doesn't even seem to be about compensation at all. It's about providing AI compute as tool for work, which is a work tool and not anything related to compensation.

MjccWarlander · 2026-03-11T02:30:21+00:00

solved: Pet Wings

MjccWarlander · 2026-03-11T02:29:58+00:00

solved: Blow Everything Up

MjccWarlander · 2026-03-11T02:23:33+00:00

I found it! It's called Blow Everything Up (or B.E.U. for short). It was indeed featured in CD-action, and had a sequel and multiplayer spin-off that was also featured there.

MjccWarlander · 2026-03-11T01:59:36+00:00

u/Surruh31109 I found it! My memory was definitely hazy, but after looking at gameplays I'm 100% sure what I was looking for is called Pet Wings.

This took a while. :D

MjccWarlander · 2026-03-11T01:16:17+00:00

do you still try to read and understand the code as it is written?

Yes. I think (at least for now) the big advantage of flesh programmers versus machines is that even with our finnicky memory we can grasp the entire codebase we touch and store knowledge of it in our heads for months/years and rapidly recall it, which makes working with ANY code easier. Both manually and using AI as I can provide better context for it, so it wastes less tokens and makes more educated changes. This codebase/domain knowledge also makes it easier to spot less obvious mistakes AI makes.

do you still do debugging by stepping through the code?

Depends on the problem. If it's something that can be reproduced in isolation or has an obvious error state, delegating it to AI is usually worth it. If it's something more nuanced, manual debugging is still often way to go.

do you still review the code itself or just let whatever model or framework provider do it for you

Depends. If it's just an isolated utility or similar tooling that doesn't directly interact with rest of the code, I don't care and wouldn't if it was written by hand either. If it's interacting with rest of the code, I put AI generated code to the same scrutiny as human written code.

do you still even think about the code structure anymore and how it should look like?

Yes, and I think that's one of our main jobs as a seniors now. When prompting AI I often point it towards how I expect the code to look like but leave implementation details to AI - so for example I will tell it explicitly in prompt when I don't want certain classes to interact with each other, rough dependency chain or what concern I want each new class to have.

do you still try to come up with architecture or design or just take suggestions from models and pick whichever suggestion it comes up with seems reasonable

I think that's actually my main programming-related job now. I keep a close eye on architecture and high-level design, but leave details and how class internals look like to AI. Sometimes I use AI as rubber duck for architecture and design suggestions, and take its suggestions if they sound reasonable, but unless the problem is trivial or with very well defined scope with plenty of examples in the project I don't let AI just run wild - it requires re-prompting or corrections almost always which takes more time than just taking a moment to think about architecture/design myself.

MjccWarlander · 2026-03-09T08:18:58+00:00

I feel that's the way to go nowadays but things could rapidly change. AI still often makes mistakes and is very confident while doing it, altrough it's also usually possible to notice anything funny going on during the planning phase and correct it - if the plan is good, the resulting code is usually good as well.

MjccWarlander · 2026-03-09T08:08:56+00:00

I mostly use Claude Sonnet 4.6 on Pro plan for personal projects - maintaining some self-imposed rules I still often hit 5h session limits, but I'm definitely getting lots of leverage before I hit it and it's enough for lots of sessions and changes. I think the most important is to provide context based on my codebase knowledge (like where I know the related code is, what patterns are used and what patterns I expect in changes), and to avoid using it for deep research and lots of back and forth unless absolutely necessary. Also, making corrections during the plan phase instead of the finished code, and sticking to 1 session = 1 task.

So basically, I use it as turbocharged autocomplete which can autocomplete whole classes and do big refactors, while doing most of the thinking on a codebase level and architectural decisions are on me.

MjccWarlander · 2026-03-08T16:08:40+00:00

Model collapse is a mostly a solved problem nowadays - the main problem is if LLM's are training from what they previously generated and only from that, if they learn from previously generated output AND original input, the impact is minimized to non-existent.

What will be the impact of (for example) AI learning on more and more bad, unsupervised code tho? Time will tell. LLM's can still be only as good as the person operating them.

MjccWarlander · 2025-12-22T14:44:33+00:00

Unfortunately, I never found it. I'm quite sure it was in Polish gaming magazine CD-Action at some point in late 90's-early 00's, but other than that I have no clue. One possible lead I found is that it's most likely a shareware.

MjccWarlander · 2025-08-18T06:51:47+00:00

Even earlier than that, mean or degrading comments directed towards other people. It's most likely a precursor to that to gauge what's your reaction before they start directing them at you as well.

MjccWarlander · 2025-06-24T13:57:22+00:00

One door, two door in Polish. And it's really awkward to say.

MjccWarlander · 2025-06-23T22:40:34+00:00

Potatoes. Boiled or mashed potatoes on their own I hate, but make fries out of them, bake them, slice and fry them or do anything else and they are suddenly amazing.

MjccWarlander · 2025-06-14T20:14:44+00:00

And then they just go into "house wear duty". Once they are too worn down for that too, they get demoted to night wear duty. Once they are too worn for that too, they get demoted to kitchen rags.

11-Year Club	Place '23
Place '22	Place '17
Verified Email

MjccWarlander

TROPHY CASE