AI Coding Tool Cases
What this is: product cases of AI coding tools, dissecting "how an AI IDE / coding assistant works internally" to understand product-design choices. The generally-transferable engineering parts (context injection, cross-tool context sharing, rules-as-assets) have been merged into mainline canonical chapters; only the product narratives remain here.
Cases (ZH only)
All three case bodies live on the Chinese side; this page is the EN-side placeholder navigation.
| Case | Question it answers | Merged into |
|---|---|---|
| Cursor IDE internals (zh) | Inside an AI IDE: from completion to agent, system-prompt design, optimization tips | Context engineering, Tool execution |
| Cursor Rules practice (zh) | Project-level AI behavior specs: rule types, content structure, incremental refinement | Context engineering, Agent Skills |
| Copilot system-prompt excerpt (zh) | What a production coding assistant's system prompt looks like (reference page) | Prompt engineering |
How to read
- Read the cases as evidence of "how products productize mainline mechanics": Cursor's
@fileis context engineering productized; Rules is rules-as-assets productized. - Vendor-specific commands, parameters, and plans belong to the Products area; this section does not maintain them.