Documentation Writer
Auto-generate docs from code comments
Scan your codebase, parse function signatures and inline comments, and generate comprehensive API documentation, README files, and usage guides that developers actually want to read. Keeps docs in sync as code evolves.
GPT-6.1 Sol
for 500K tokens a month · 70% input / 30% output
Why this model
For this workload — 500K tokens a month, 70% of them input — it comes to about $2.2 a month, the lowest of the models suggested here.
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Implementation tips
- 1
Structure your pipeline to process one module at a time and cache the module's code — then generate the README, API reference, and usage examples from the same cached context to avoid re-sending large code files.
- 2
Ask the model to generate runnable code examples for every public function — docs with copy-paste examples have dramatically higher adoption than prose-only descriptions.
- 3
Implement a 'doc freshness' check: on each commit, compare the function signature to the last-generated doc and flag functions whose signatures changed — trigger regeneration only for those, not the whole codebase.