---
title: "Documentation Agents"
description: "Agents that keep technical docs, changelogs, and release notes aligned with code changes automatically."
url: https://www.callstack.com/services/documentation-agents
updated: 2026-11-09T15:59:16.317Z
---

# Documentation Agents

Agents that keep technical docs, changelogs, and release notes aligned with code changes automatically.

_[Agentic Delivery](/agentic-delivery) › [Custom Agents](/capabilities/custom-agents)_

**Docs that update when the code does**

Documentation is accurate for a week and misleading for a year. We build agents that update docs, changelogs, and release notes as part of the change itself, so what is written matches what ships.

## Custom Agents

- 3x Delivery acceleration · 80% Effort executed by agents
- Industry runs on our tooling · 50M+ OSS downloads / month
- 3.7× Lower task cost vs Opus 5.5
- Built on Agent Device. · T3 · Shopify · Tester Army · Agent Device
- React Foundation Founding Member · 300+ commits to React Native · Contributing since 2016
- 100+ Enterprise projects delivered
- ISO 27001 certified

## What you get: Documentation as a side effect of shipping.

- **Change-driven doc updates** Merged PRs trigger targeted updates to affected docs, proposed as reviewable PRs.
- **Changelogs and release notes** Human-readable notes drafted per release from actually shipped changes.
- **Architecture and ADR upkeep** Implementation notes and decision records kept aligned with reality.
- **Drift detection** Docs contradicting current code flagged before they mislead the next engineer.
- **Agent-readable knowledge** Docs structured so coding agents can consume them, compounding your AI setup.
- **Your format, your tools** Works in Notion, Confluence, and markdown repos - wherever docs live.

## Scope → Build → Scale: Build agents into repeatable workflows.

### Scope (1 WEEK)
We select a product workflow, define where agents act, and agree the controls and success measures.
- Workflow and owners defined
- Baseline and controls agreed
- Token budgets confirmed
### Build (1-12 MONTHS)
We connect context, agents, and verification to your tools, then run the workflow on your product backlog.
- Running on your product backlog
- Speed and quality measured
- Business impact validated
### Scale (AS NEEDED)
We document the workflow, transfer ownership, and extend it across teams and products based on results.
- Your team owns the workflow
- Expand based on results
- Full knowledge handover

## What shipping at AI speed looks like.

- [Building an Agentic SDLC for a Web Launch in Under One Month](/case-studies/building-an-agentic-sdlc-for-a-web-launch-in-under-one-month): 3x estimated delivery acceleration

**Stop shipping documentation debt.** Docs, changelogs, and notes maintained continuously by agents, reviewed by you. [Build custom agents](/contact)

> Their engineers proved to be a crucial part of our mobile app relaunch project.
>
> — Brian Aznar, Engineering Director, Major League Soccer

We’ll connect you with the right expert within 24 hours.

## Let’s find the right path for your product.

**Is generated documentation any good?**

Good enough to review in minutes instead of writing in hours. Agents draft from the actual diff and your existing docs' style; humans approve before anything publishes.
**What gets documented automatically and what stays manual?**

API references, changelogs, release notes, and behavior descriptions automate well. Strategic rationale and tutorials stay human-led, with agents keeping them consistent.
**Can we control tone and structure?**

Yes. Templates and style rules are part of the agent's instructions, so output matches your documentation standards, not a generic voice.
**Does this cover user-facing docs?**

It can, with a stricter review gate. Most teams start with internal engineering docs and release notes, then extend.
**Which tools does it integrate with?**

Git-based docs natively; Notion and Confluence through their APIs. Updates always arrive as proposals, never silent edits.
**Why does this matter more with AI-native delivery?**

Agents ship more change per week, and stale docs mislead both engineers and other agents. Current docs keep the whole loop accurate.

## Open source

- [Agent Device](https://agent-device.dev/): CLI to control iOS and Android devices for AI agents
- [Agent React DevTools](https://github.com/callstackincubator/agent-react-devtools): Gives AI agents access to React DevTools
- [Agent Skills](https://github.com/callstackincubator/agent-skills): Callstack’s best practices on React Native performance optimization, upgrading, CI workflows, and brownfield migrations
- [React Native AI](https://github.com/callstackincubator/ai): On-device LLM execution in React Native with Vercel AI SDK compatibility
- [Skill Gym](https://incubator.callstack.com/skillgym/): Prove your agent skills work before you ship them