API documentation is either nonexistent, outdated, or so thin that external developers give up and email support. Writing docs manually doesn't scale.

API Documentation Generation

72Building evidence

Automate Work

“I want API docs that developers actually use, generated automatically from our code so they never go stale.”

At a glance

Cost

$100–250 /mo

Time saved

10-20 hours per API version release

Difficulty

Medium

Steps

4 AI · 2 automation

What you end up with

Complete API documentation with getting started guide, endpoint reference, code examples in 3 languages, and changelog.

The pipeline · 6 steps

STEP 1

GitHub Copilot

Code Annotation

Automation

STEP 2

Claude

OpenAPI Spec Generation

AI decides

STEP 3

Claude

Docs Generation

AI decides

STEP 4

Claude

Usage Example Generation

AI decides

The honest readpros and trade-offs, side by side

What works

Documentation that stays in sync with code

Multi-language code examples automatically

Changelog generation from commits

The trade-offs

Good documentation requires good code annotations

Requires pipeline integration to stay truly current

Where people go wrong

The failure modes builders hit most often. Avoiding these is most of the battle.

01Generating docs once and never updating them

02No authentication examples

03Missing error response documentation

Why this works

Auto-generate comprehensive, developer-friendly API documentation that stays in sync with the codebase.

Swap pooldrop-in alternates — tap to open the tool

PostmanReRelease Drafter

Built for

Backend EngineerDeveloper AdvocateTech LeadAPI Product Manager

Industries

SaaSTechnologyFinancial ServicesDeveloper ToolsPlatform

Use cases

Public API documentationInternal API referencesSDK documentation

FAQ

What does the API Documentation Generation help you do?

API documentation is either nonexistent, outdated, or so thin that external developers give up and email support. Writing docs manually doesn't scale.

Which AI tools does the API Documentation Generation use?

It uses GitHub Copilot, Claude, Notion.

How long until the first result?

Builders typically see a first result in Same day - 1 week.

How it runsamber = the model makes a judgment call

STEP 1

Code Annotation · GitHub Copilot

Automation

GitHub Copilot executes this mechanically. No judgment call — it runs the same way every time.

STEP 2

OpenAPI Spec Generation · Claude

AI decides

The model generates and decides here — output quality depends on the prompt and context you give Claude.

STEP 3

Docs Generation · Claude

AI decides

The model generates and decides here — output quality depends on the prompt and context you give Claude.

STEP 4

Usage Example Generation · Claude

AI decides

The model generates and decides here — output quality depends on the prompt and context you give Claude.

STEP 5

Changelog Writing · Claude

AI decides

The model generates and decides here — output quality depends on the prompt and context you give Claude.

STEP 6

Feedback Collection · Notion AI

Automation

Notion AI executes this mechanically. No judgment call — it runs the same way every time.

Workflows, proven by builders

API Documentation Generation