A service hot core is the part of the service where the vast majority of the computation takes place.

I have actually been on a similar workflow with frontier models for a while, but I have an oracle tool that agents can use which basically bundles up a covering set for whatever the agent is working on and feeds it to gemini/gpt5, and generates a highly detailed plan for the agent to follow. It helps a ton with agents derpily exploring code bases, accidentally duplicating functionality, etc.

I use claude code mostly because the economics of the plan are unbeatable if you can queue a lot of work efficiently. Most of the agents are pretty good now if you use sonnet, the new deepseek is pretty good too. I have my own agent written in rust which is kicking the pants off stuff in early tests, once I get an adapter to let me use it with the claude code plan in place I'm going to switch over. Once my agent stabilizes and I have a chance to do some optimization runs on my tool/system prompts the plan is to crush SWEbench :P

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kragen 5 days ago | parent [-]

That's really exciting! Can you run DeepSeek locally?

	▲	CuriouslyC 5 days ago \| parent [-]
		Maybe if you quantize the everliving hell out of it, but I wouldn't. Depending on how much ram you have I'd run qwen coder, gemma3 or if you can go bigger (huge workstation with research class gpu) I'd go gpt-oss120 or GLM air.