Migrates client SDK References to App Router. (Management and CLI API references aren't migrated yet, nor are self-hosting config references.)
Some notes:
Big changes to the way crawler pages are built and individual section URLs (e.g., javascript/select) are served. All of these used to be SSG-generated pages, but the number of heavy pages was just too much to handle -- slow as molasses and my laptop sounded like it was taking off, and CI sometimes refuses to build it all at all.
Tried various tricks with caching and pre-generating data but no dice.
So I changed to only building one copy of each SDK+version page, then serving the sub-URLs through a response rewrite. That's for the actual user-visible pages.
For the bot pages, each sub-URL needs to be its own page, but prebuilding it doesn't work, and rendering on demand from React components is too slow (looking for super-fast response here for SEO). Instead I changed to using an API route that serves very minimal, hand-crafted HTML. It looks ugly, but it's purely for the search bots.
You can test what bots see by running curl --user-agent "Mozilla/5.0 (iPhone; CPU iPhone OS 6_0 like Mac OS X) AppleWebKit/536.26 (KHTML, like Gecko) Version/6.0 Mobile/10A5376e Safari/8536.25 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)" <URL_OF_PAGE>
Also added some smoke tests to run against prod for the crawler routes, since we don't keep an eye on those regularly, and Vercel config changes could surprise-break them. Tested the meta images on Open Graph and all seems to work fine.
With this approach, full production builds are really fast: ~5 minutes
Starts using the new type spec handling, which is better at finding params automatically, so I could remove some of the manually written ones from the spec files.
The Vercel Data Cache caches data across deployments, and we want to
check for updates in federated content, so let's revalidate the data
once a day.
It may be more efficient to revalidate on-demand, since we don't change
most of these sources once a day, but that requires setting up an API
endpoint (and figuring out how to authenticate it), so this is
quick-and-easy for now.
Fetching recommendations on the server takes too long before the first
load, so it's faster to load the basic not-found page and generate the
recommendations on the client side.
Charis