Docs a developer can follow
without pinging your support channel
Documentation that developers abandon partway through is usually missing one of three things: a clear path for their specific use case, a code example that actually runs, or a way to tell which version they are even reading. We build all three in from the start.
What it is and who needs it
A documentation site is where a developer or technical user goes to figure out how to actually use a product, and it earns trust or loses it within the first code example they try to run. It needs a structure organized around real tasks, getting started, authentication, a specific common integration, rather than a flat list mirroring internal feature names, working code examples that are actually tested rather than copy-pasted and left to go stale, and clear versioning so a user on an older release is not shown instructions for a feature they do not have.
It is the right project for any product with an API, SDK or technical integration surface that developers need to learn independently: a SaaS platform, an API product, an internal tool other engineering teams consume. It is the wrong project for a purely consumer-facing product with no technical integration surface, where a simple help center serves users better.
What is inside
Structure follows real developer tasks: a quickstart for the most common first thing someone needs to do, then deeper guides and reference material organized the way a user’s mental model actually works, not the internal codebase’s folder structure. Code examples are written and tested to actually run, in the languages your real users work in, since nothing damages trust in documentation faster than a broken example in the first five minutes.
Version switching keeps each release’s documentation accurate and distinct, which matters the moment a product has more than one supported version in active use. Search is tuned for technical terms and exact function or parameter names, which behave differently from natural-language search and need their own handling, and the content workflow lets engineers or technical writers update docs without needing a full site redeploy for every small change.
How we build it
We start with the product’s actual API or integration surface and, critically, with real questions developers have already asked in support channels, since that is the most honest signal of what documentation is currently missing or unclear. Structure gets mapped around real tasks before any content gets written, since reorganizing a large docs site later is expensive.
Build proceeds in weekly sprints, with code examples written and tested against the real API or SDK as we go, not written speculatively and left unverified. Before launch we have someone unfamiliar with the product actually follow the quickstart cold, since that is the only real test of whether the documentation does its job.
Timeline and price
| Tier | Price | What it covers | Timeline |
|---|---|---|---|
| MVP | from $2,000 | Core structure, tested code examples, quickstart, search | 2 to 3 weeks |
| Production | from $4,400 | Versioning, auto-generated API reference from a spec, deeper guides | 3 to 5 weeks |
| Full control, handover-ready | from $7,450 | Everything above, plus full documentation of the docs structure itself so an in-house team can extend it independently | 3 to 5 weeks |
Running cost after launch is mostly keeping examples current with new releases, which the content workflow is built to make easy without a developer.
What you own at the end
The content, code examples and hosting are under your own accounts from day one, with documentation of the structure itself so another developer or technical writer can safely maintain and extend it without starting over, even years after the original build.
Related
This pairs with knowledge base site for the non-technical support-content side of the same product, and with web app MVP for a startup for products at the stage of writing their first real documentation. For the technical layer, see help center and knowledge base and static site generator and programmatic SEO. For related product-build work, see our own marketplace, ProBay, case and the TaskWall wallpaper to-do app case.
Fielding the same integration questions in support that good documentation could answer instead? Get in touch and we will look at what is actually missing.
FAQ
How much does a documentation site cost?
From $2,000 for a structured docs site with working examples, versioning and search, live in 2 to 5 weeks. A larger API reference with auto-generated sections from your codebase runs $4,000 to $7,000.
Can docs be generated automatically from our code or API spec?
Where you have an OpenAPI spec or similar, yes, reference sections can be generated and kept in sync automatically, while guides and quickstarts are written by hand, since those need real judgment about what a new user actually needs first.
How do you handle multiple versions of our product?
A version switcher keeps each release's docs correct and separate, so a user on an older version is not shown instructions for a feature that does not exist yet in what they are running.
Who can update the documentation after launch?
Your engineers or technical writers, through a simple content workflow that does not require a full site redeploy for routine updates, with a developer only needed for structural changes.
Who owns the documentation site?
You do. The content, the code examples and the hosting are under your own accounts, with documentation of the structure itself so another developer can maintain it.