Mental model
Understand how project graphs, inferred tasks, task graphs, affected commands, and caching work together in Nx.
How caching works
Learn how Nx caching reuses task results locally and across machines to avoid repeated work.
Task pipeline configuration
Learn how to configure task dependencies so Nx runs work in the correct order and parallelizes independent tasks.
Types of configuration
Learn how workspace, project, and tool configuration combine to define Nx projects and tasks.
Nx plugins
Learn how Nx plugins integrate tools and frameworks through task inference, code generation, migrations, and executors.
Building blocks of fast CI
Learn how affected tasks, caching, parallelism, and distribution work together to reduce CI time.
Parallelization and distribution
Compare local task parallelism, manual CI distribution, and distributed task execution with Nx Agents.