AI Shouldn't Just Help Me Write Code

说明与用途

当 AI 加速实现时，开发者的心理模型滞后，导致失去控制。解决方案是将复杂系统压缩为图表和模式，让 AI 扩展，然后再次压缩输出以进行验证。

问题

When AI accelerates implementation, the developer’s mental model lags behind, leading to loss of control over the codebase.

结果

By compressing complex systems into manageable representations before AI expansion, the developer regains control, ensures alignment with design decisions, and verifies correctness without needing to read every generated line.

工作流

• 1. Identify high‑level system aspects (architecture, data, behavior, UI, performance, security).
• 2. Create compressed representations (diagrams, schemas, tests).
• 3. Use AI to expand these representations into implementation code.
• 4. Compress the generated code back into concise diagrams or summaries.
• 5. Verify the implementation against the compressed representations.
• 6. Iterate as needed.

证据

I was just asking the AI to do the thing.

来源

If staying in control requires understanding every generated line at generation speed, you’ve already lost.

来源

Compress, Then Expand

来源

UNDERSTAND ↓ COMPRESS ↓ AI EXPANDS ↓ COMPRESS ↓ VERIFY

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