Lesson 1760 of 2116
AI for Coding: Generate API Reference Docs That Match the Source
Produce reference documentation directly from code so docs stay accurate, with a verification loop that catches drift before publish.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2reference docs
- 3doc generation
- 4doc drift
Concept cluster
Terms to connect while reading
Section 1
The premise
Docs go stale because they live separately from code; AI can generate reference content from source on every release and flag mismatches between examples and signatures.
What AI does well here
- Extract function signatures and write canonical descriptions
- Generate runnable examples that match current parameters
- Cross-check examples against actual function shapes
- Flag undocumented public exports
What AI cannot do
- Write conceptual overviews or how-to guides without source-of-truth input
- Decide which APIs are stable vs experimental
- Replace human-written getting-started narratives
Key terms in this lesson
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