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Refine the "mental models" explanation to emphasize increased development speed
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README.md

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2020
- **Time and money saving.** There is no orchiestrated planning or file lookups. No more idle waiting long minutes—get the job done in a single-turn.
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- **Great software is a chain of carefully considered decisions.** Because LLMs can't truly reason and don't know their own limitations, over-delegating decision-making may create hard-to-debug weak links and impair our own abilities in creating strong ones.
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- **Programming is about building mental models.** Being close to the code makes you confident about what to send to the model—resulting in predictability of its outputs.
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- **Programming is about building mental models.** Being close to the code makes you confident about what to send to the model. Results become predictable and you can move faster.
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- **Context once polluted, won't recover.** When the model isn't getting your intent on first try, a conversation only makes it more confused and erroneous. You're always better off adjusting context, instructions and starting afresh.
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- **Coding agents become expensive and get lost.** Although they seem a joy to work with in smaller projects; with ever-increasing complexity of real-world codebases, they start requiring excessive context lengths, the most capable models and may still arrive at dead ends.
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