← All IntelClip / AI AgentsBe model and harness agnostic
From Multiplayer agentic engineering — Arjun Singh, Superconductor · ≈1:44
“The best model and harness can change weekly.”
“We've been really happy with GLM 5.2.”
“the incentives of the people selling you tokens aren't really aligned with yours”
“They want to sell you more tokens.”
What’s in it
- Argues for staying model-and-harness agnostic when building AI coding workflows
- Points to open-weight models like GLM 5.2 as cheap, capable alternatives
- Flags that token-selling incentives conflict with your cost-control goals
Clip transcript
engineer and start from zero and add a sixth one in there. Um the first one I'm going to start with is just to be model and harness agnostic. So there's a few reasons for that. The best model and harness can change weekly. It could change cuz a new one comes out. It could change cuz the best one got taken away. Um things happen and you don't want that to disrupt your entire team's flow. The other thing is that open weight models are actually pretty good now. We've been really happy with GLM 5.2. They're much cheaper. Um and you want to be able to kind of explore with them and integrate them without again having to change your entire workflow. The last thing I'll mention on this is that the incentives of the people selling you tokens aren't really aligned with yours. You're here for a reason. You're you're you're So you're doing things for a reason. You're trying to make your customers' lives better, make your product better, delight your customers. They want to sell you more tokens. And you might be happy to pay for as many tokens as it takes, but you don't want to pay for more than that. And so again, kind of being able to switch between things lets you stay in control of all of that.
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