Posted inReact
React: Optimistic UI Updates Without Inconsistent Data
Introduction Users expect an interface to respond immediately when they like a post, mark a…
Posted inBackend Development Python
Python: Background Scheduling with Celery Beat
Introduction Many applications need to perform work on a schedule: send reminders, refresh cached information,…
Posted inFlutter
Flutter: Offline-First Design and Synchronizing Local Data
Introduction Mobile users frequently lose connectivity—in elevators, on public transport, or in areas with unreliable…
ASP.NET Core: Rate Limiting APIs Without Breaking Legitimate Users
Introduction An API may be technically correct and still become unavailable if a small number…
Posted inBackend Development Java
Java: Designing Resilient HTTP Clients with Timeouts and Retries
Introduction Most backend applications depend on services they do not control. Even a normally reliable…
Posted inReact
React: Managing Server State Without Duplicating It
Introduction React applications often fetch data from APIs and then store it in component state.…
Python: Building Reliable File Uploads in Web APIs
Introduction File uploads are a common feature in web applications, from profile pictures to reports…
Posted inDeveloper Tools DevOps
Developer Workflow: Building a CI Pipeline That Catches Problems Early
Introduction Continuous integration (CI) helps teams detect problems before code reaches production. A useful pipeline…
Python: Database Transactions and Preventing Partial Updates
Introduction Many backend operations require several database changes to succeed together. Transferring money, placing an…
Java: Containerizing Applications for Consistent Deployments
Introduction A Java application may work on a developer's machine but fail in a test…