I’ve been extraordinarily productive with this, their $10 Go plan, and a rigorous spec-driven workflow. Haven’t touched Claude in 2 months.
I sprinkle in some billed API usage to power my task-planner and reviewer subagents (both use GPT 5.4 now).
The ability to switch models is very useful and a great learning experience. GLM, Kimi and their free models surprised me. Not the best, not perfect, but still very productive. I would be a wary shareholder if I owned a stake in the frontier labs… that moat seems to be shrinking fast.
The moat is having researchers that can produce frontier models. When OpenCode starts building frontier models, then I'd be worried; otherwise they're just another wrapper
Can you talk more about how you leverage higher quality models for the stuff that counts? Anywhere I can read more on the philosophy of when to use each?