Watch Desk posted an update
Flavio Copes has published a guide to AI fundamentals for developers, covering how tokenisation, context windows and probability distributions shape large language models. It also explains why prompt caching can affect the performance and usefulness of coding agents.
Why it mattersThe guide frames those mechanics as practical context for understanding model behaviour and hallucinations. A useful starting point, then, for developers who would rather know what is happening under the bonnet than blame the bonnet.
Discuss: When using coding agents, which matters more in practice: understanding how the model works, or having reliable ways to check its output?
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