Bootcamp
A two-week sprint to be production-ready with GraphQL - schema design, resolvers, performance, security.
Bootcamp plan
EXAMPLE
# GraphQL bootcamp - 10 working days Day 1 - Tooling: graphql-yoga, Apollo Server, codegen, VS Code GraphQL extension. Day 2 - Schema design: types, interfaces, unions, scalars; nullability strategy. Day 3 - Resolvers + context: per-request DataLoader to avoid N+1. Day 4 - Mutations + payload types: domain errors via UserError, never top-level. Day 5 - Subscriptions: graphql-ws on WebSockets, SSE alternative, when to skip. Weekend project: a small blog API with cursor pagination + comments. Day 6 - Auth: JWT in context, field-level authorisation, persisted queries. Day 7 - Caching: Apollo Client cache, Relay store, server-side response cache. Day 8 - Performance: query cost analysis, depth limits, N+1 detection, persisted queries in prod. Day 9 - Federation + schemas at scale: Apollo Federation v2, gateway, subgraph composition. Day 10 - Observability + release: tracing per resolver, sampling, error reporting. Capstone: ship a small federated GraphQL gateway with two subgraphs. ## Tips - Connections + payloads from day one; never page by offset - DataLoader per request, not per process - Persisted queries + depth limits in production - they kill the exploit surface - Trace every resolver in dev; sample in prod
Why it matters
GraphQL is a different muscle memory than REST. Get connections, payload types, and DataLoader right early; the rest is conventional API engineering. Federation is the answer when you have multiple teams owning slices of one graph.
Tip: Tweak the snippet with Try it Yourself », then sit the quiz at the bottom of the page.
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