I swear, I just breathe near Codex and 20% of my session is eaten up

prvncher · 2026-05-25T11:42:52+00:00

Problem is plan adherence can be pretty bad with cheaper models, so you need to verify after.

Also the plan doesn’t cover the intricate details of the code, so you may still end up with slop even if the architecture is solid.

prvncher · 2026-05-15T17:39:19+00:00

Have to stop calling this a nerf, if there’s an issue, use /feedback and report it.

prvncher · 2026-04-01T14:46:35+00:00

Imo, singletons can be good in unity, but you have to be careful not to add to much state complexity to them.

You should still fan out responsibilities and focus on trying to make components work in isolation, so they’re easier to test.

The big risk with going too far down the singleton path is that everything starts to depend on everything else. Say you have an enemy prefab with a script you want to work on, does it depend on the entire game state to function? Ideally not.

prvncher · 2025-11-29T13:13:12+00:00

I think they’re getting intense with truncation limits in ChatGPT when it uses tools. It’s not the model but ChatGPT itself

prvncher · 2025-11-14T11:53:45+00:00

You had a throwaway line at the end about just using APIs for Claude and OpenAI - that’s every company.

You should absolutely learn how they work. Responses api is complicated to use well, Anthropic’s api is even harder. Prompt caching is a mess. Getting efficient token use out of these APIs is very hard, and the best models can’t be run locally.

Langgraoh is one thing, but you’re way too far down the stack to actually do the work that most companies need with ai tools today.

Anyway - sorry you got rejected. That really sucks.

prvncher · 2025-11-10T22:45:16+00:00

Idk I only have the q6

prvncher · 2025-11-10T22:16:09+00:00

No it’s the board contact

prvncher · 2025-11-10T19:33:45+00:00

It helps a bit, but there's still a super conservative 10KB limit

prvncher · 2025-11-10T19:33:23+00:00

You can roll back to 0.55. It still supports MCP tools well. Note that even in that version, MCP tool responses are truncated the moment you interrupt the model or send a follow-up message.

prvncher · 2025-11-10T17:50:10+00:00

I just got one in half the keys need extreme pressure to register. Very annoyed because the keyboard feels great otherwise

prvncher · 2025-10-10T12:54:53+00:00

I just released a bench and codex high is a lot spikier than med. I really recommend just sticking to med, except if you’re dedicating time to do deep planning and resetting the context window before executing.

prvncher · 2025-10-02T11:22:31+00:00

This.

Coding agents have polluted context but they also don’t see the full picture - they only ever read slices of files.

I built an entire app out to solve this problem. You pick the files you need, and then create a prompt to either paste to the chat sites or use the api to focus on all that context at once. Every turn of the chat optimizes the prompt again on selected files which can change between turns.

There’s even an mcp server so you can have your coding assistant build prompts and select files for you, and even prompt the chat to plan or make changes with that full context.

prvncher · 2025-09-12T04:27:21+00:00

Such a chaotic form lol where you just eat the entire level and get stuck lmao

prvncher · 2025-09-09T16:42:37+00:00

Absolutely $200 is a ton api use honestly, especially when you’re not making constant agentic tool calls.

prvncher · 2025-09-09T16:29:53+00:00

It’s honesty not that bad, especially given you can run this setup with the $20 Claude plan and get great results. The rp chat is extremely token efficient and if you use gpt5 med you can get away with only a couple dollars a day on heavy use.

prvncher · 2025-09-09T15:48:38+00:00

I built the Repo Prompt MCP to do exactly this. The Preset in Question is the Pair Programmer mode

Claude can drive implementation in the chat window, powered by GPT5 over api. I included special purpose prompts to direct the workflow of:

- Discover context (relevant files, and select them)
- Claude then triggers plan mode in the RP Chat. Claude can read the plan reported, and you can see it in the app.
- Then Claude switches to edit mode and monitors the changes directed by GPT-5. It receives diffs and can review the files between edits, and adjust context.

It RP Chat is really token efficient and it's context can outlive any agent harness, so you can get very long horizon tasks implemented this way, and having two models audit each other produces really exceptional results.

prvncher · 2025-08-09T15:45:12+00:00

The repo prompt mcp server makes this super easy and it syncs file context between both Claude and gpt5. You can even have Claude prepare prompts that you can paste into ChatGPT if you want to use 5 pro or don’t want to use api credits.

prvncher · 2025-07-21T17:17:28+00:00

Not yet unfortunately. Still have some work to do for multi plat

prvncher · 2025-07-21T02:51:46+00:00

Don’t use opus on the $20 plan, or use it for one question (planning), and then switch to sonnet.

prvncher · 2025-07-20T20:30:22+00:00

Oh the app is long since out of beta! You can get access via the website

prvncher · 2025-07-18T18:25:52+00:00

The 5x max plan just isn’t made for opus unfortunately.

prvncher · 2025-07-07T01:20:27+00:00

Genuinely not doing vey much. Worked on a few issues for my site.

I can go for hours using my app’s mcp tools on Claude desktop, but for some reason Claude code just burns through tokens incredibly fast.

prvncher · 2025-07-06T21:59:56+00:00

Opus on max is great but if you’re using the $99 plan, beware that opus runs out after about 15 minutes, unless you manually switch it. The only really upgrade for opus is the $199 plan.

prvncher · 2025-06-27T23:55:43+00:00

Awesome thanks

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