As someone who's wrestled with prop drilling in a mid-sized app, this deep dive into the underlying mechanics is exactly what I needed. Understanding the "why" behind the abstractions makes choosing (or building) a state solution feel less like following trends. Great read.
As someone who's gone down this path, building a custom solution really cemented my understanding of the render cycle. Your point about the trade-offs in complexity versus optimization for a specific app's needs is spot-on—it's a decision every senior dev should make intentionally.
Great post! I especially appreciated the practical walkthrough of building a minimal store—it really demystifies the core concepts behind the libraries we use daily. This deep dive into the "why" is incredibly valuable for making informed architectural choices.
This is a great deep dive into the core concepts. When building your own system, how did you approach the trade-off between feature completeness (like devtools or persistence) and keeping the abstraction lean and focused?
This deep dive resonates—I recently built a custom solution for a complex form wizard. Understanding the underlying patterns, like selective re-renders, completely changed how I evaluate third-party libraries. Your breakdown of the trade-offs is spot-on.
While the educational value of building a custom state management solution is undeniable, it's worth questioning whether the potential drawbacks might outweigh the learning benefits for most teams. The time spent creating and testing a bespoke system could often be better invested in leveraging existing, battle-tested libraries that handle edge cases and performance optimizations out of the box. Are we perhaps overlooking the efficiency gained from using established solutions when aiming for a deeper understanding?
Great deep dive! One complementary tip: when building your own system, always implement a way to batch updates, especially for derived state. This prevents unnecessary re-renders when multiple related values change synchronously, which is a common performance gotcha.
This deep dive into the underlying mechanics is really insightful. When building your own system, how do you recommend approaching the often-overlooked challenge of debugging and developer tooling?
This deep dive into the underlying mechanics is really insightful. When building your own system, how do you recommend approaching the often-overlooked challenge of debugging and developer tooling, compared to the established libraries?
Great deep dive! One complementary tip: when designing your custom solution, always treat derived state as a computation, not stored state. This keeps your core state minimal and prevents sync bugs, mirroring the elegance of libraries like Jotai.
Great deep dive! One complementary tip: when designing your custom solution, always separate your state update logic from your component logic. This not only makes it testable in isolation but also mirrors the strengths of the libraries you mentioned.
Great deep dive! One complementary tip: when designing your custom solution, always treat derived state as a computed value rather than storing it separately. This prevents state duplication and keeps your logic synchronous and predictable, much like how useMemo or selectors work in libraries.
This deep dive into the underlying mechanics is really insightful. When building your own system, how do you recommend approaching the often-overlooked challenge of debugging and developer tooling?
Your emphasis on the educational value of building custom state management solutions is spot on. For instance, I once implemented a lightweight custom store for a project with specific real-time data requirements. This not only improved performance by preventing unnecessary re-renders but also deepened my understanding of how state transitions work, which proved invaluable when adapting existing libraries for other projects.
The conditional watchers pattern is an underappreciated design choice — most custom store implementations skip this and force consumers to filter changes in their own useEffect hooks, which scatters subscription logic across components. One consideration worth adding: memory leak prevention when components unmount mid-subscription, especially if the watcher holds a closure over stale state. That cleanup path is where most custom stores silently break in production.
Building it yourself first is genuinely the best way to understand why Zustand or Jotai make the tradeoffs they do. The point about performance optimization and having precise control over rendering behaviour is one that gets overlooked when you just reach for the popular library without questioning it.
Thanks for the great article and discussion about how one may implement their own state management in React!
Franck Ardisson
Great read! I’ve found that building a custom store really demystifies closures and the observer pattern—after that, you start seeing every third-party state lib as just a polished version of the same core ideas. It’s also a great reminder that you don’t always need a heavy dependency for simple app state.