In this session, we will break down the concept of code coverage, explore effective ways to improve it, and discuss common pitfalls to avoid. We will share practical tips for optimizing unit tests, leveraging the JEST framework, and integrating coverage checks into your CI/CD pipeline. Strong code coverage is not just about statistics; it’s about catching bugs early, reducing regressions, and building confidence with every code change.

This workshop dives into the core of building resilient, scalable, production-ready applications with React and Next.js, grounding you in a pragmatic approach to software development. We’ll tackle common web performance pitfalls, showing you how to make impactful optimizations without compromising readability, maintainability, or speed, essential when delivering under tight timelines. You’ll explore resilience patterns that enable your applications to perform reliably under real-world demands along with how to make the right compromises, whether you’re building for early-stage platforms or scaling up to serve millions of global users.

Covering React reconciliation fundamentals, we’ll provide the context needed for structuring large-scale component architectures, alongside best practices for designing components that stay maintainable over time. Through a case study using TanStack Query, you’ll tackle data fetching at scale to ensure optimal app performance with complex data requirements.

Finally, we’ll focus on post-deployment strategies, including setting up observability and monitoring tools to detect issues early. This workshop provides an adaptable playbook for creating robust applications that endure, building a skill set to navigate the evolving problem spaces and needs across different project stages, whether you’re developing from scratch or scaling for global audiences.