Closing in on my monthly OpenCode Go limits I started using ...

Dennis

npub14j7wc366rf8efqvnnm8m68pazy04kkj8fgu6uqumh3eqlhfst0kqrngtpf

hex

7c3ae91d6eb8d02b3f6a2e48e2ed7a090b45024565d7f7bb5a86da35483bc0e7

nevent

nevent1qqs8cwhfr4ht35pt8a4zuj8za4aqjz69qfzkt4lhhddgdk34fqaupecprpmhxue69uhhyetvv9ujuem4d36kwatvw5hx6mm9qgs2e08vgadp5nu5sxfeanaars73z86mtfr55wdwqwdmcus0m5c9hmqaqpxvm

Kind-1 (TextNote)

2026-07-27T12:45:14Z

Closing in on my monthly OpenCode Go limits I started using cheaper models to see what they are good for: As longs as used with a narrow scope (e.g. per feature or improving test coverage) cost-efficient models like DeepSeek v4 Flash get the job done, though they might require one or two additional iteration steps.

At least for the stuff I'm building I'd say one doesn't have to spent lots of money for inference to get good results. Also I noticed how prompting efficiently forced me to become a better product steward, thinking through features in terms of goals rather than implementation details.

原始 JSON

{
  "kind": 1,
  "id": "7c3ae91d6eb8d02b3f6a2e48e2ed7a090b45024565d7f7bb5a86da35483bc0e7",
  "pubkey": "acbcec475a1a4f9481939ecfbd1c3d111f5b5a474a39ae039bbc720fdd305bec",
  "created_at": 1785156314,
  "tags": [],
  "content": "Closing in on my monthly OpenCode Go limits I started using cheaper models to see what they are good for: As longs as used with a narrow scope (e.g. per feature or improving test coverage) cost-efficient models like DeepSeek v4 Flash get the job done, though they might require one or two additional iteration steps.\n\nAt least for the stuff I'm building I'd say one doesn't have to spent lots of money for inference to get good results. Also I noticed how prompting efficiently forced me to become a better product steward, thinking through features in terms of goals rather than implementation details.",
  "sig": "e0997ecbf1184ee8a186b55fa15e63808acee5129f12e67c4a4fede156227d254f3f3506503aef2b53032de0c54a07bf5bf04be36d034a7d7c72149ec5735cb1"
}