Your SDK just shipped version 3.0 with a breaking change to the authentication API. You need to update docs, publish a migration guide, add a banner to the v2 docs pages pointing to the migration guide, and keep the v2 docs accessible for teams that haven't upgraded yet. If your docs live in Markdown files in a Git repo, this is a PR, a review, a merge, and a deployment. If your docs live in a headless CMS, it's a content update that any technical writer can make without touching the codebase.
What Developer-Led Growth Content Looks Like
DLG companies produce four kinds of content that drive acquisition:
- API and SDK documentation: Reference content tied to specific product versions, maintained by engineers and technical writers together
- Tutorials and guides: Longer-form content showing how to accomplish a task, often with code examples and embedded demos
- Changelog: A public record of product changes, referenced by users who are evaluating the reliability of the product
- Community content: Guest posts, case studies, and how-to articles from users who build with your product
Version-Aware Content in ContentGrid
ContentGrid's content model supports tagging articles with product version metadata. A documentation article can carry a minVersion and maxVersion field. Your documentation frontend queries ContentGrid for articles matching the version the user is viewing, and surfaces a banner when they're on outdated docs.
This is much simpler to maintain than a file-per-version directory structure in Git, and it lets technical writers update docs for multiple versions simultaneously without merge conflicts.
Code Example Management
Store code examples as structured content entries in ContentGrid: language, code string, title, and related article reference. Your frontend renders them as syntax-highlighted blocks. When an API changes, you update the code example once in ContentGrid and every tutorial that references it reflects the update immediately — no hunting through Markdown files.
- Code samples as first-class content types, not embedded strings in article bodies
- Language field drives syntax highlighting selection in the frontend
- Related article references create a navigable content graph for users
SEO for Developer Content
Developer documentation is highly searchable. Teams searching for ''ontentGrid TypeScript SDK authentication example' 're high-intent users. ContentGrid's AI writing tools help generate SEO metadata for documentation articles — titles, descriptions, and keyword variants — without requiring writers to also be SEO specialists.
A headless CMS for developer content gives you the structured data, versioning, and API delivery that DLG requires. Your documentation becomes as maintainable as your codebase, and your content team can iterate it at the same pace as your product.
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