Tech Stack
- Framework: Angular (Standalone APIs + NgModules)
- Monorepo Tooling: :Nx
- State Management: Service-driven reactive state using RxJS
- Styling: Clarity Design System (in-house design system ensuring consistency and scalability)
- Architecture Approach: Feature-based modular design
Context
As the application and team grew, we reached a point where 25+ engineers were working in parallel across multiple domains.
The existing Angular monolith, though structured using NgModules, began to show limitations:
- Tight coupling across modules
- Increasing build times
- Frequent merge conflicts
- Difficulty in scaling teams independently
The Problem: Monolith at Scale
The initial structure relied on:
- Large
SharedModuleandCoreModule - Feature modules with implicit dependencies
- A single deployable application
Over time, this led to:
- Unclear ownership boundaries
- Cross-team conflicts
- Inefficient builds — small changes triggering full app rebuilds
- Reduced developer productivity
The Shift: Monolith → Modular Monorepo
The key realization was:
Scaling frontend systems requires not just modular code, but modular builds and deployments.
To address this, we adopted a monorepo architecture using Nx, and restructured the system into:
- 20+ feature-based applications
- A shared ecosystem of libraries (libs)
The Solution: Nx Monorepo with Dependency-Aware Libraries
Using :contentReference[oaicite:1], we decomposed the system into:
🔹 Applications (apps/)
- Feature-focused Angular applications
- Independently buildable and deployable
- Owned by specific teams
🔹 Libraries (libs/)
Libraries were designed based on dependency graph analysis, not just reuse.
1. Global Shared Libraries
- Used across most applications
- Example: UI components, design system, core utilities
2. Domain-Specific Libraries
- Scoped to specific features or domains
- Example: Checkout, Orders, User Management
3. Restricted-Scope Libraries
- Used only by a subset of applications
- Designed intentionally to limit blast radius of changes
Dependency Graph Strategy
Nx provides a dependency graph visualization, which became a key design tool.
We used it to:
- Identify high-impact shared libraries
- Avoid unnecessary dependencies between domains
- Ensure a unidirectional dependency flow
Pages/Apps → Features → Entities → Shared
Build Optimization Strategy
One of the biggest wins came from incremental builds.
With Nx:
- Only affected applications and libraries are rebuilt
- Changes in restricted-scope libs do not trigger full rebuilds
- CI pipelines became significantly faster
This was achieved by:
- Carefully designing library boundaries
- Avoiding over-centralization of shared code
- Keeping dependencies intentional and minimal
Architectural Impact
✅ Benefits
- True parallel development across 20+ applications
- Significantly reduced build times using affected builds
- Clear ownership boundaries across teams
- Improved scalability of both codebase and organization
⚠️ Trade-offs
- Increased complexity in repo structure
- Requires discipline in maintaining dependency boundaries
- Initial migration effort from monolith to monorepo
Real-World Outcome
After adopting Nx and modular architecture:
- Teams could work independently without stepping on each other’s code
- Build times improved due to incremental compilation
- Merge conflicts reduced significantly
- System became easier to scale with new teams and features
Key Takeaway
Scaling frontend systems is not just about code organization — it’s about aligning architecture with team structure and build systems.
A well-designed monorepo with clear dependency boundaries enables teams to scale development without scaling complexity.