Reactivity is central to Angular applications, yet subtle misuse of Observables, Signals, and change-detection often leads to performance regressions that are difficult to diagnose. Although Angular 17 introduced a unified, signal-first model, most enterprise codebases still rely heavily on legacy RxJS patterns that create unpredictable update flows, memory leaks, and excessive change cycles. To address these issues, we developed ng-reactive-lint, a deterministic static analysis tool that understands Angular's component semantics, lifecycle hooks, template bindings, and reactivity patterns. Unlike generic ESLint or RxJS plugins, ng-reactive-lint performs framework-aware analysis to detect high-impact anti-patterns and provide actionable, context-specific fixes. Evaluation across five large real-world projects showed reductions of up to threefold in unnecessary change detection cycles and up to 75% lower peak memory usage. The tool offers a practical, automated path to adopting modern Angular reactivity at scale.
Cite
@article{arxiv.2512.00250,
title = {ng-reactive-lint: Smarter Linting for Angular Apps},
author = {Shrinivass Arunachalam Balasubramanian},
journal= {arXiv preprint arXiv:2512.00250},
year = {2025}
}