{"ID":2835702,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2512.00250","arxiv_id":"2512.00250","title":"ng-reactive-lint: Smarter Linting for Angular Apps","abstract":"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.","short_abstract":"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 cr...","url_abs":"https://arxiv.org/abs/2512.00250","url_pdf":"https://arxiv.org/pdf/2512.00250v1","authors":"[\"Shrinivass Arunachalam Balasubramanian\"]","published":"2025-11-28T23:51:11Z","proceeding":"cs.SE","tasks":"[\"cs.SE\"]","methods":"[]","has_code":false}