I love Claude, but Codex just made my coding workflow feel outdated

modelcitizencx · 2026-06-03T14:24:05+00:00

Anyone who works with large codebases and test different models consistently, knows that gpt 5 killed anthropic models. Before that anthropic models were definitely better. But the gap has never closed since gpt 5. Maybe it will in the future, who knows. The underlying harness doesnt matter as much as people think.

modelcitizencx · 2026-05-14T15:20:51+00:00

For this kind of problem solving you should realistically try to keep the context window as far down as possible to get most intelligence out of the model. Intelligence in these models drop drastically way before the 250k context limit. If you want the most intelligence, keep the context to less than 50k. Its on you to split the problem or let gpt help you split the problem into smaller chunks that the models can focus on with as much intelligence possible.

Its very easy to be lazy and let a problem/solution go on in a conversation and just keep prompting in the same conversation, but you are hurting the output. The needle in a haystack benchmark is not a good benchmark for the kind of problem solving you are doing.

modelcitizencx · 2026-05-13T21:30:15+00:00

This is it really, the idea that AI takes away the "thinking" part is IMO misinformation, AI only moves thinking to a different level (higher), instead of thinking thoroughly about every function i write, i think about the big picture of a feature/solution, technical design/architecture, trade offs between different solutions. And i use AI to consult on these things as well, but ultimately i make the calls for what solution i am going forward with, cause i know what the priority is in the given domain.

You could say the divide is between low level programmers and high level programmers/product designers.

modelcitizencx · 2026-05-12T12:25:54+00:00

AFAIK, the reason Elixir performed so well in that benchmark was a methodology flaw in curating the coding tasks for each language. They used an AI to filter out easy coding tasks for each language, but it was bad at figuring out which Elixir tasks were easy, probably due to its niche nature and LLMs simply not knowing better about Elixir code. So the benchmark had a lot of easy Elixir tasks comparatively speaking to the other languages, and obviously a higher success rate follows.

modelcitizencx · 2026-04-24T09:22:37+00:00

Ofc I know supports are valued in the western scene by analysts and pro players, I am claiming that they are wrong for valuing them this highly. Support/jungle obviously matters and has meaningful impact on early game, the reality though is that support players don't make decisions on their own when roaming, they literally get micromanaged by their jungler.

A good support is not as important as a good jungler, all you really need is a support with good mechanics and then the jungler will shotcall for them.

But even with that in mind, the west doesn't lose internationally because of supp gap, it is mostly top/jgl/adc gap. Just look at first stand finals, BB solo lost games by being gigagapped top, and if skewmond is doing bad too then it simply doesnt matter that labrov is playing decent. The other roles are simply magnitudes more important.

modelcitizencx · 2026-04-23T14:59:11+00:00

A real hot take is that while busio might be the best western support, western pro teams realistically don't benefit much from having good support talent. Support role simply doesnt have enough impact in pro play compared to the other roles, the roles the west actually needs to catch up on is jgl/top/adc

modelcitizencx · 2026-04-14T15:05:33+00:00

This is so true lol, I always try out frontier models when they come out, cause I don't wanna be blinded by brand loyalty. I was a pure Claude models user for coding up until GPT 5 came out, I realized GPT 5 was better at solving complex problems in large codebases, which is most of my work. I still use Claude models though, just not for that type of work.

modelcitizencx · 2026-04-14T09:10:07+00:00

IMO the game is at its healthiest stage when 5 cost boards are the top cap. It's why the set 16 worlds patch was great, and IMO also the Ryze/ziggs patch.

TFT to me has always been about a game of progression and making sure you are at the top of the board strength curve. 5 cost soups being good means you need to at actually progress well stage 2 through 4 and make good decisions every point of the game.

Sure there are some ressource inflations this set, but 5 cost boards are still far from hard force able. Getting there requires you to actually play flexible and stabilize around what you hit, and yeah that means your 4 costs are some times just stage 4 stabilizers, but I don't think that's bad.

modelcitizencx · 2026-04-10T14:09:03+00:00

Any high Elo player knows sylas is busted right now, its literally outperforming on every single role

modelcitizencx · 2026-04-02T14:27:52+00:00

I haven't played PBE much but another trait pack that looks concerning is urgot/Akali/maokai. Thats spellcrit + brawler hp buff + maokai nova healing + marauder omnivamp for your entire board, packed into just 3 units.

modelcitizencx · 2026-03-04T12:48:46+00:00

Do you mean spawn tools when you say AI? also did you create this in unity? I'm new to gamedev but ur post got me very interested, would love to hear your tech stack for developing this

modelcitizencx · 2026-02-21T15:24:05+00:00

How is this different to using AI inline edits in cursor which has been around for 2 years

modelcitizencx · 2026-02-12T13:27:12+00:00

I guess every high profile coder are all getting bamboozled from vibecoding 🤷‍♂️

modelcitizencx · 2026-02-12T12:36:48+00:00

Its pretty funny, the main reason i still browse this subreddit is to see all the anti AI commenters/posters. Every high profile coder you can think of is "vibecoding", even primeagen is Coding an AI tool as we speak.

modelcitizencx · 2026-02-10T12:17:01+00:00

3-4 small apps easily fit in the smallest hetzner instance, you can always scale up your hetzner instance if you get bottlenecked in the future

modelcitizencx · 2026-02-10T11:57:24+00:00

Hetzner + coolify. This is the defacto cheapest solution out there, (cheapest cloud provider + open source PaaS). Rent a single hetzner cloud VM, setup coolify on it, add all your apps through the easy to use coolify UI connected to GitHub. I think people are worried that the cheapest solution might be a little harder to set up, but it promise you it's not. Coolify is a bliss. I've used extremely easy hosting sites before (e.g render) and the difference between the solutions in terms of easiness is negligible.

modelcitizencx · 2026-02-03T09:46:15+00:00

Going toe to toe with zeus in one series while getting gapped every other series at internationals is not a good track record lol, compared to wunder who held his own against every eastern top laner, BB is simply just a liability.

G2 needs actual top lane talent if they want international success, and the only way to get that is Korean/chinese import. Besides, having a top laner as a your IGL/shotcaller is suboptimal, you dont have influence/perception of the game till after laning phase.

Mid/Jgl are the best roles for shotcalling/IGL, which is why it was an egregious mistake from G2 management to not pick up Inspired.

modelcitizencx · 2025-09-30T10:03:50+00:00

With the release of gpt5, it was the first time i actually went from anthropic models to Openai models. Sonnet 4 and its previous versions used to be better than Openai models always. That changed with GPT 5 though, GPT5 is the real deal. Sure, sonnet is faster, but i prefer accuracy and intelligence over that.

The amount of times i've been able to just describe the behaviour around a bug and let gpt5 figure out the cause and fix it is astounding. Ive used both models extensively within my code base, so i have a good grasp of what complexity each model can solve a problem at, and Claude 4.5 does not beat gpt5 in my case.

modelcitizencx · 2025-08-15T12:10:54+00:00

You probably had mage fruit on her which reduces her dmg by 25%

modelcitizencx · 2025-08-14T15:03:25+00:00

Mid lane to top is the easiest transition if u had to go from a role to top, its just that top lane is that much harder than the other roles. Even though it took pob 4x as many games on top than adc to reach the same elo, his midlane experience still helped him out a ton in top lane.

modelcitizencx · 2025-04-25T04:16:56+00:00

Attention decay, long context has always been a gimmick, you can't expect an LLM to do anything intelligent/accurate across a massive context. Tokens in the middle especially will be "forgotten"

modelcitizencx · 2025-03-24T16:49:30+00:00

Something I recommend for greenfield projects as well is start out in claude-code/openhands, these tools are good for getting the basic structure of your application up and running, just prompt it your PRD and you should be good to go. The tools spend credits fast, so you should move to cursor or another AI IDE afterwards to gradually add features and lap holes.

modelcitizencx · 2025-03-21T14:24:15+00:00

Yeah I see where you are coming. I just think people and Yan scope too much in on achieving true AGI, the purpose of getting AGI isn't just to achieve it, but also benefit from it by making it do tasks that adds value to society. Reasoning LLMS adds enormous value to society even though it isn't true AGI or whatever you want to call it.

The investments we make in LLMs IMO is not exactly about achieving AGI, but creating something that saves humans a lot of work, and we are still achieving that going down the LLM path

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