
Build an endpoint knowledge pack
Build a reviewed endpoint knowledge pack for AI IDE workflows, with evidence records, clear permissions, small context files, and practical evaluation cases.
Read the guide : AI IDE API Crawler6 min read🧭 COLLECTIONS
Bring evidence into the editor without bringing every page.
A coding assistant is more useful when the task, source records, and repository conventions agree. This collection explores how to prepare a compact API context pack and carry it into daily development. The examples emphasize narrow implementation plans, small diffs, and tests that reflect what a visitor will actually see.
Keep repository rules separate from provider facts. Use reviewed files when they are sufficient, and introduce shared tools only when the operational responsibility is worthwhile. Context should make assumptions easier to inspect rather than bury them inside a longer prompt.
Start with the AI IDE knowledge pack and continue to the Cursor workflow. Both connect evidence with implementation while leaving authorization and execution policy in the application. The developer resources page provides the broader learning path, while prompt evaluation helps test whether the assistant uses that context faithfully.

Build a reviewed endpoint knowledge pack for AI IDE workflows, with evidence records, clear permissions, small context files, and practical evaluation cases.
Read the guide : AI IDE API Crawler6 min read
Use a reviewed API catalog with Cursor workflows: separate repository rules from provider facts, plan small patches, and test real interface states.
Read the guide : Cursor API Crawler6 min read