AI-ready documentation
Building AI-ready docs with chat, search, and a live API reference
Our own product’s documentation on a Docs-as-Code stack, with AI chat and search built in, an OpenAPI-generated reference, and a maintained llms.txt.
We build and maintain documentation infrastructure for technical products. Migrations, Docs-as-Code workflows, developer portals, and AI-ready docs: we handle the engineering so your team can focus on the product.
We help engineering teams build scalable, AI-ready documentation infrastructure: migrations, Docs-as-Code workflows, custom development, and automation.
TechDocs Studio helped ScyllaDB realize its vision to have a modern, sleek documentation website which featured a modern toolchain and authoring environment. If you're looking for help with docs as code look no further!
A decade of documentation engineering for technical teams. A few recent projects across AI-ready documentation, automation, and migration.
AI-ready documentation
Our own product’s documentation on a Docs-as-Code stack, with AI chat and search built in, an OpenAPI-generated reference, and a maintained llms.txt.
Automation
Automated single-source publishing that cut PDF build times by roughly half, and per-chapter builds by 95%.
Migration
We migrated a Fortune 500 corporation’s monolithic docs site to Docs-as-Code and built the team to run it.
We’re not a content agency with a developer bolted on. We’re documentation engineers, and every engagement is led hands-on by senior people who’ve done this for a decade.
We’re developers ourselves, so we work inside your repos, CI, and review flow, and build things that fit how your team already ships.
A small, founder-led studio. The founder stays hands-on from kickoff to delivery, so there is senior direction on the decisions that matter.
We make Biel.ai and PushFeedback for documentation teams, so we solve your problems with tools we depend on ourselves.
Field notes on migrations, automation, and making docs work for AI.
Why migrations fail in scope-setting, not execution, and how a representative pilot slice turns assumptions into an accurate estimate.
Almost half of docs traffic is now AI crawlers. The 90% that matters: crawlable-without-JS, allowed in robots.txt, and ranking for real questions.
Define once, generate everything else. Machine-readable schemas and code annotations keep reference docs in sync with the source automatically.

We can help. Let's talk about your project and collaborate to meet your documentation goals.