Introducing StyleOps

Developer Experience

Documentation products and services for hardware and software developers.

StyleOps report window listing findings, each with a rule ID, a severity, and a suggested fix

New product

StyleOps is here

StyleOps checks your documentation against the Developer Experience style guide, or a custom style guide, and drafts compliant docs, inside Claude Code, AI chat, or your build pipeline. Every finding cites a numbered rule with a severity and a rationale.

Diagram of the style guide formats StyleOps ships: Markdown bundles, JSON rules and word list, Vale configuration, Claude Code plugin, and doc templates

What's included

Documentation standards for engineers, technical writers, and AI agents

Each release ships the style guide as flat Markdown for AI chat, JSON rules for your tooling, doc templates, a Vale configuration, and a Claude Code plugin. It runs on your systems. Model calls use your Anthropic key, and your docs never reach Developer Experience.

A styleops-generate draft with an unverified claim marked, above a passing set of StyleOps pull-request checks

For tech writers, engineers, and AI

Check existing docs, or generate new docs

Optimize reviews your documentation for style guide compliance and reports findings. Generate drafts compliant developer guides and API reference docs based on your notes, specifications, and source code. A build gate keeps pull requests compliant.


Style guide launched

The Developer Experience Style Guide is online

The style guide behind StyleOps is now published on our docs site, free to read and searchable. The rules are designed by expert technical writers based on documentation user research. The guide settles the editorial decisions that stall doc reviews: voice, grammar, punctuation, formatting, word choice, and API documentation. Every rule carries a stable ID, a severity, examples, and the reasoning, so a review ends in a decision instead of a debate.

Read the style guide in the docs

Research

An AI embodied robot, documented end to end

We're building an embodied robot from developer-accessible parts: the D-Robotics RDK S100P for compute and perception, the SLAMTEC Aurora S for mapping, and the Booster K1 humanoid platform in later phases. Every phase ships as blog posts and developer documentation.