How we scope large docs migrations
Why migrations fail in scope-setting, not execution, and how a representative pilot slice turns assumptions into an accurate estimate.
- Documentation is no longer just for developers
It's how customers, support teams, AI assistants, and coding agents understand your product.
We help engineering teams build documentation they can trust.
We combine documentation engineering, software engineering, and AI to build documentation systems that scale: version-controlled, automated, and structured as reliable technical knowledge for humans and AI.
We also build our own products for documentation teams, Biel.ai and PushFeedback. What we learn from real documentation systems improves our products, and what we learn from our products makes our client work stronger.
- Years in documentation engineering
- 10+
- Software products migrated to Docs-as-Code
- 45+
- Products built for documentation teams
- 3
What reliable documentation requires
- Engineer the system. Treat the content, platform, automation, and governance as one product instead of a collection of disconnected pages.
- Design for every reader. Make technical knowledge findable and useful to customers, support teams, developers, AI assistants, and coding agents.
- Leave teams in control. Build with open formats, version control, tests, and maintainable tooling so your team is never dependent on us.
Who you work with
TechDocs Studio is a small, founder-led studio. Every engagement is led hands-on by David Garcia, documentation engineer and founder of Biel.ai, so you always get senior direction on the architecture, tooling, and engineering decisions that matter. A small team helps us take on larger projects without losing that direct involvement.
At TechDocs Studio, we treat documentation as reliable infrastructure for everyone who needs to understand a product: customers, support teams, developers, and AI tools. We use proven systems and keep learning so the knowledge we build stays useful as products evolve.
Founder
From our blog
We write about documentation engineering, AI, and how teams turn documentation into reliable technical knowledge. A few highlights.
How to make your docs discoverable to AI
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.
How to plan a documentation strategy
Strategy → Structure → Content, not the chaotic reverse. Map personas and content types before drafting a single page.
Improving technical documentation through user feedback
Docs problems usually surface only after users struggle. Seek feedback before you publish: pre-publication review and watching where users actually get stuck.
Your product changes. Your documentation should keep up.
Tell us where the system is breaking down: architecture, tooling, automation, maintenance, or AI readiness. We'll help you define and deliver the right next step.