A tour of the core features in JetBrains Space, including calendars, Git repositories, issue tracking, and deep chat integration.
An introduction to the Space HTTP API Playground and the powerful `fields` parameter used to customize API response shapes.
The decision to use code generation is explained by the challenges of a large, evolving API surface where manual implementation or standard tools would be inefficient.
The SDK generator is built upon a custom API endpoint that exposes the entire application's data model, including DTOs and enums, as structured JSON.
A look at using KotlinPoet for a model-based approach to code generation, which provides compile-time safety and better code quality over simple string templating.
Key developer experience features are created through discoverable API mapping, a type-safe DSL for selecting fields, and custom builders for complex objects.
A code demonstration shows how to initialize the client, discover services, handle runtime errors for missing data, and use factory methods for identifiers.
The talk concludes by summarizing how code generation and a focus on discoverability can create a successful and user-friendly SDK for a complex API.
tree-IT GmbH
Bad Neustadt an der Saale, Germany
57:09Christian Woerz
47:37Marco Gomiero
35:10Petar Marijanović
44:15Alen Pokos
58:11Iris Hunkeler
1:05:26Chris Heilmann, Daniel Cranney & Kitty Giraudel
43:11Thomas Reiter
45:39Amanda Martin
Jobs that call for the skills explored in this talk.
JetBrains
Amsterdam, Netherlands
Interactivated Solutions Europe
Groningen, Netherlands
CodeGuild
Rotterdam, Netherlands
