I used to ask a simple question when routing coding tasks across models: Which model is strong...
A developer proposes a verification ladder: route coding to cheaper AI models when output is easy to inspect or test; use expensive models for risky code (permissions, billing, migrations). Tech teams optimize AI spend by aligning model cost with verification difficulty, ensuring quality through structured review.
I used to ask a simple question when routing coding tasks across models:
Which model is strong enough for this?
That question is still useful, but it is not the first one I ask anymore.
The better first question is:
How quickly can I verify the output?
I used to ask a simple question when routing coding tasks across models: Which model is strong...
Why standard "generate-and-pray" AI coding assistants fail, and how Kode uses a Go engine to run 9 deterministic verification…
The problem A cost efficient AI system sends easy work to a cheap model and only escalates hard work...
Most AI development content focuses on prompting. Browse any AI coding discussion and the...
A short note on why coding agents need budgets, verification, and receipts.
The Core Problem You shipped an AI agent. It works in demos. Then it runs 10,000 times in...
