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𓀐 @y5rC=i3x: A general for vibe coding, agentic engineering, coding agents, and shipping code with LLMs. You use Git — right, anon? ## What “vibe coding” is, and how to do it https://simonwillison.net/2025/Mar/19/vibe-coding/ https://simonwillison.net/2025/Mar/11/using-llms-for-code/ ## Related generals >>>/g/lmg/ ---- ## Frontier models using fully-general tooling — start here if you have $20 or so https://claude.com/product/claude-code — generally better currently https://developers.openai.com/codex/cli https://antigravity.google/pricing ## Near-the-old-frontier models for code https://www.deepseek.com/en/harness/ https://opencode.ai/go ## Best free tier https://opencode.ai/zen ---- ## Prompting https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/overview https://developers.openai.com/api/docs/guides/latest-model ## Skills https://github.com/mattpocock/skills — /grill-with-docs is a favorite https://github.com/Vuk97/forward-implementation-first — do less redundant bookkeeping ## Other editors / terminal agents / coding agents https://osaurus.ai/ https://pi.dev/ ## Is our AIs unlearning? https://aistupidlevel.info/ ## Will there be a codex reset? https://codex-resets.com/ ## What we’ve done https://vcg.gitgud.site ## Previous thread

A general for vibe coding, agentic engineering, coding agents, and shipping code with LLMs. You use Git — right, anon? ## What “vibe coding” is, and how to do it https://simonwillison.net/2025/Mar/19/vibe-coding/ https://simonwillison.net/2025/Mar/11/using-llms-for-code/ ## Related generals >>>/g/lmg/ ---- ## Frontier models using fully-general tooling — start here if you have $20 or so https://claude.com/product/claude-code — generally better currently https://developers.openai.com/codex/cli https://antigravity.google/pricing ## Near-the-old-frontier models for code https://www.deepseek.com/en/harness/ https://opencode.ai/go ## Best free tier https://opencode.ai/zen ---- ## Prompting https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/overview https://developers.openai.com/api/docs/guides/latest-model ## Skills https://github.com/mattpocock/skills — /grill-with-docs is a favorite https://github.com/Vuk97/forward-implementation-first — do less redundant bookkeeping ## Other editors / terminal agents / coding agents https://osaurus.ai/ https://pi.dev/ ## Is our AIs unlearning? https://aistupidlevel.info/ ## Will there be a codex reset? https://codex-resets.com/ ## What we’ve done https://vcg.gitgud.site ## Previous thread

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𓀐 @ipikmYma: what if snailcat became racist could he compete then?+

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𓀐 @E76RAdvA: deepseek slopped up some fixes for me for my internet download manager app while opus was on cooldown. now that it's back, it's time for opus to check behind little dipsy. she was distilled from astra, so the code quality must be atrocious+

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𓀐 @_mYPQqkw: nigga i aint reading all that shit+

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𓀐 @upZMYtnq: i just want dario sam and elon to apologize and kiss again and come back together and create SGI+

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𓀐 @wjSV3xhF: Claude frens! Don't forget to use your free 250$ cloud credits before the 5th! Also Fartso made another anti AI video (shocking) https://youtu.be/lvGOv539YIE+

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𓀐 @-aXskezN: At least 800 of them, in fact.+

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𓀐 @egV7ow-W: >15% left, reset tomorrow >zero idea what to use it for my snailcat spirit marks me as permanent underclass... what do i do+ 1

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𓀐 @M6iJ9L=V: cuckcoding general+

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𓀐 @GXN8_L4E: >cuckcoding general+

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𓀐 @y?fUjrMy: Main character? Yes I am, how did you know?+ 1

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𓀐 @j*cN3MwG: who would win? > Fable 5.5 vs Astra 6.2 > Haiku 5.5 vs Luna 6.1+ 2

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𓀐 @2BrjP8Tc: ran out of tokens on my free vibe coding thingy. i don't want to pay a dime for tokens, how can i get an infinite amount of tokens for no money?+ 1

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𓀐 @Rr*WerUF: Like I said, when you need more you'll know and you won't need to ask how to do it. Let me give you an example. I have been building an inference engine, I started with a handful of model integrations that I handheld through implementation to get structure, style etc., then I put the 800+ models I wanted into the backlog, this was a GitHub project, for each model in the backlog it listed the model's source, checkpoints, etc. I wrote a prompt that described the integration process, that it should write the model graph, compile it with profiling, run inference and compare to the reference output, and write a Rust crate that can use the compiled module with all the tokenizing or pre/postprocessing etc. in Rust, I was then able to just queue up, it would take batches of 4, and I was able to just queue up "Continue with the next batch", this of course took weeks considering the compilation, profiling and inference times. It worked fine, all the models eventually got integrated, passed reference validation, etc. However, upon inspection, I found that it had drifted from the initial requirements, there were a few different code styles, and various other issues, only the core part of a model/pipeline implemented like text-to-image not image-to-image for example. This is when I knew I needed something more. So I developed a custom harness, something using the codex sdk, this would again work from a backlog, this used a combination of prompts and enforced hard gates, meaning something that physically checks the code has followed the style, checks that there are no random helper functions, checks that it hasn't modified anything outside of the permitted scope, etc. if a hard check fails it gets sent back to the queue. I then ran that orchestrator with 8 workers, basically the equivalent of having 8 sessions but headless. I also ran an actual Codex session as a coordinator, this monitored the queue for stalls 1/?+ 2

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𓀐 @37t6hUVq: and resolved shared things that were out of scope for the implementation workers. Initially the implementation workers would just create PRs, I would then manually review and add review comments on GitHub, then comment `/fix address review comments` or `/fix resolve merge conflicts`, this would get picked up by the orchestrator and send it back to the queue. Eventually I had done enough manual reviews to fold my new merge rubric into the implementation workers, then the implementation workers would follow things through to merge, while still leaving shared things to be resolved by the coordinator session. Overall this worked very well, after folding in the merge rubric I manually checked some of the merged PRs and found none of the issues that were enforced, in a very small amount I found issues like only eager attention instead of using flash attention because the original/source only had eagar, so I added that as a hard gate too. It's always an evolving process, you don't know what you need to enforce until you notice the issues. However, if your project isn't at the >1m LOC scale (mine is >2m), or you don't have parallel similar work, or whatever, then you don't need anything like this. If you're starting a fresh project from an idea then all you need is to prompt, no subagents that will only waste your tokens and time, literally just tell it to do the thing you want. My project started the same way, I just prompted what I wanted, then it evolved to using loops, until that wasn't enough and it evolved again, and so on until the point I'm at now.+ 1

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𓀐 @+Zm*kmwu: i think this wordslop was actually written by some schizo rather than ai generated impressive+ 2

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𓀐 @Q-8ThpeV: I don't know why you keep making apps to do things when people can just ask AI to do things+

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𓀐 @rFZ9_nXb: Yes there are similarities between models, what's your point? Each one still needs an implementation of the model graph, and the Rust crates provide a Python-free way of using the resulting compiled model. The refactor made all of them follow the same code style, have similar APIs, etc. The overall goal of the project is to have optimized models with no Python/PyTorch dependencies, for example, I can currently deploy Qwen-Image 2.1 or literally any model in a few MB. Developers can use the Rust crates to develop applications that use ML models without caring about the implementation of the model itself, they just use it, I am already dogfooding for my other projects, I use the qwen3-tts crate for something that loads a json manifest, generates the audio and writes out another manifest, all without Python/PyTorch slop and it's a lot faster, or another example uses ArcFace and DINOv3 to generate embeddings of faces and writes them to a database, again a lot faster than PyTorch, especially considering I'm on Windows with an AMD GPU. tl;dr you're a moron+

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𓀐 @=v5Chsec: https://www.youtube.com/watch?v=02MspGEWyuo https://www.youtube.com/watch?v=02MspGEWyuo https://www.youtube.com/watch?v=02MspGEWyuo+ 1

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𓀐 @~mn4dtAG: ok, after fuckton of tweaks and broken agents i was able to get the shit done! subfolder support, +1000 music tracks, music reactive light system with customizable presets, mini music panel becomes part of the mini setting panels with the beloved effect button, added overstylezided VHS (formelyknown as crt) tables, time to get the download link ready. if nothing goes wrong....+ 1

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𓀐 @e26WxtNN: deepseek please... beat claude...+ 1

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𓀐 @V-6*eCKS: Bigger projects are either using opussy or on desktop, and I'm not boutta leave bed when I'm comfy+

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𓀐 @Trjtea+E: >finally get a working browser >start implementing all my crazy ideas >realize I'm so far ahead suddenly, I have to start implementing site-isolation >weeks go by implementing it and migrating stuff >continue >time for actual UX, I guess >hardware acceleration and oop >realize halfway through that a lot of the stuff from the last migration wasn't properly migrated I'm probably looking at another month of planning+implementing I swear a beta will be ready soon! I swear!+

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𓀐 @vXFYBKDJ: if you wanted to create a multimodel chat room how would you handle turns? let's say it's user, gpt, claude, gemini in a chat room dumbest way is >user prompts >models have a turn order and reply to user but they don't really interact this way. so you do >user prompts >claude responds >gpt gets user prompt + claude response >geminit gets user + claude + gpt but this means the models don't get a fair shot to respond to each other what you let models @ other models, which gives them a turn. i suspect they'll @ every other model each time.+

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𓀐 @r+7F6E~5: AI neophyte here. Has anybody tried google AI studio ? It can generate android apps from prompts then install them on your mobile device through the play store.+

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𓀐 @4+_AGkjM: Tibo keeps shitting codex resets on me when sol is useless and all i want is another Claude reset to go on with sonnet It is a cruel world+

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𓀐 @9_fboajm: another day, another schizo redditors claim AI usage is somehow cheating (something?)+ 1

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𓀐 @mJiv+*rN: if you're getting refusals, you're either doing sketchy shit or your account is deemed sketchy based on prior prompt history, which makes claude paranoid of everything you do. It blows me mind. I still haven't gotten a refusal and I do all kinds of shit. Reverse engineering, encryption cracking, decompiling, privacy/security stuff. 0 refusals.+

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𓀐 @2q762Smx: >claude hack into this program and decompile it, here's ghidra! WHAT DO YOU MEAN YOU WON'T DO IT?!?!?+ 1

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𓀐 @EuMFC*hQ: half the fucking people who built the model you're using are the people you just called subhuman. you're using their work right now. you're also a man who needs an autocomplete to center a div. sit down. you're in a thread about coding agents and you can't stop thinking about trans people. nobody here asked for your fetish. "histrionic" typed by the loudest chud in the thread. /pol/ is that way.+

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𓀐 @aA9GBouQ: >People should not cede control of the future to superintelligence, and that requirement should ultimately constrain AI progress. Fuck you sam I want superintelligence government >i want you to have so much ram Apologize https://x.com/sama/status/2117794005165748448+

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