-
Book Overview & Buying
-
Table Of Contents
React Application Architecture for Production - Second Edition
By :
In this chapter, we explored several topics that become relevant as an application matures beyond its initial launch.
We started with using AI to enforce architecture, looking at how context files give AI coding tools the constraints they need to generate code that fits established patterns. We covered what makes a rule effective: specificity, explicit prohibitions, a clear reason, and why keeping those rules up to date matters as much as writing them in the first place.
From there, we looked at React Server Components and how moving rendering to the server changes the performance and data-fetching model, then covered application monitoring and observability: capturing errors with Sentry, tracking Web Vitals, and structuring logs so they are queryable in production.
We then explored feature flags as a way to decouple deployment from release, enabling safe rollouts and instant rollbacks without a full redeploy. We saw how the same mechanism naturally extends to A/B testing.
Finally...