Introduction
Nx has become the go-to tool for managing complex monorepos in enterprise environments. Unlike traditional approaches, Nx provides an intelligent dependency graph that enables targeted task execution. In 2026, monorepo architectures must handle hundreds of packages while maintaining acceptable build times. This tutorial explores Nx's theoretical foundations: its graph model, distributed cache system, and affected command mechanisms. Understanding these concepts helps anticipate scalability problems before they appear in production.
Prerequisites
- Confirmed experience with monorepos (npm/yarn workspaces or Turborepo)
- Knowledge of build systems and task orchestration concepts
- Understanding of distributed architectures and caching
- Familiarity with dependency graphs and impact analysis
The Project Graph as the Source of Truth
Nx builds a directed acyclic graph (DAG) that represents every project and its dependencies. This graph is not merely a build artifact—it serves as the single source of truth for all execution decisions. Each node contains metadata about targets, implicit dependencies, and configurations. This approach allows Nx to precisely determine which projects are affected by a change, avoiding unnecessary large-scale rebuilds.
Distributed Execution and Caching
Nx's caching system goes beyond simple local storage. In distributed mode, task results are shared via cloud or object storage, allowing the entire team to benefit from computations performed by others. The affected commands mechanism relies on this graph to execute only necessary tasks. This strategy drastically reduces CI/CD times in large monorepos, provided tasks are correctly declared as deterministic and idempotent.
Organizational Scalability Strategies
At enterprise scale, Nx enforces structural discipline. The separation between shared libraries and applications must follow strict downward dependency rules. Nx plugins allow extending the system without modifying the core, but their use should be governed by a platform team. Introducing tags and dependency constraints prevents cycles and maintains graph readability as the number of projects grows.
Best Practices
- Define strict dependency constraints using tags from the start of the project
- Configure a shared distributed cache as soon as the team exceeds 10 developers
- Keep the project graph as flat as possible to limit cognitive complexity
- Use affected commands in all CI/CD pipelines
- Document internal plugins as team contracts
Common Mistakes to Avoid
- Ignoring graph maintenance and allowing implicit cyclic dependencies to appear
- Using only local caching and ignoring the benefits of distributed caching
- Creating non-deterministic tasks that constantly invalidate the cache
- Omitting dependency constraints, leading to large-scale spaghetti architecture
Going Further
Deepen these concepts with our specialized training on monorepo architecture and modern build tools. Discover our Learni courses.