Soccer

I approach debugging complex web applications in a structured, methodical way to minimize guesswork and isolate root causes efficiently. First, I reproduce the issue reliably and clearly define the expected versus actual behavior. I check recent changes, logs, and error reports to establish context and narrow the scope. If possible, I reduce the problem to the smallest reproducible case. Next, I isolate the layer where the failure occurs—frontend, backend, API, database, or infrastructure. On the frontend, I inspect the browser console, network requests, and component state. On the backend, I review server logs, add targeted logging, and validate request handling, business logic, and external integrations. I then validate assumptions with data, using breakpoints, step-through debugging, and temporary instrumentation rather than relying on intuition. I verify inputs, outputs, and edge cases, paying close attention to async behavior, state management, and race conditions. Once the root cause is identified, I apply a focused fix, add or update tests to prevent regression, and confirm the solution across relevant environments. Finally, I document the issue and resolution if it has broader team or architectural implications. This disciplined approach ensures faster resolution while improving overall system reliability.

For full-stack development, I prefer a TypeScript-based stack for reliability and scalability. On the frontend, React (often with Next.js) and Tailwind CSS enable fast, maintainable UI development. On the backend, Node.js with NestJS is my primary choice, with Express or FastAPI used where simplicity or performance is critical. I typically use PostgreSQL as the main database, supported by Redis for caching. Deployment and DevOps are handled with Docker, CI/CD pipelines, and cloud platforms such as AWS or Vercel.