Troubleshooting Tips
This section is dedicated to tackling everyday programming challenges across a wide range of modern languages and frameworks—from C# and .NET to Python, Java, Rust, and beyond. Each article offers clear, step-by-step guidance on identifying common issues, diagnosing root causes, and applying best-practice solutions. Whether you’re a developer or a technical decision-maker, this section aims to streamline problem-solving and empower teams to deliver robust, high-quality applications.
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By Saurabh Chase - Hits: 3
In TypeScript projects, developers occasionally encounter issues where the TypeScript compiler (tsc) emits cryptic or incorrect errors, especially when working with complex type inference, generics, or third-party libraries. These errors can slow down development and create frustration when debugging.
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By Saurabh Chase
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In modern Node.js applications using asynchronous programming, developers may encounter issues with unhandled promise rejections, which can lead to application crashes, silent failures, or unresponsive APIs. These issues are especially difficult to debug in production environments where detailed logs are limited.
Read more: Resolving Unhandled Promise Rejections in Node.js
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By Saurabh Chase
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In Kotlin-based Android applications, developers may encounter issues with coroutines not executing properly, resulting in blocked UI threads, memory leaks, or missed asynchronous updates. These issues can be particularly difficult to debug in complex applications with multiple coroutine scopes.
Read more: Resolving Coroutine Issues in Kotlin Android Applications
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By Saurabh Chase
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In Ruby on Rails applications, developers may encounter performance issues or incorrect behavior when working with Active Record callbacks, particularly in complex models. Misuse or over-reliance on callbacks can lead to hard-to-debug issues, such as unintended side effects, circular dependencies, or inefficient database queries.
Read more: Resolving Active Record Callback Issues in Ruby on Rails
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By Saurabh Chase
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In Rust projects, developers may encounter issues with lifetimes, particularly when dealing with references, closures, or asynchronous code. Lifetime errors are among the most challenging aspects of Rust, as they often involve abstract concepts and require a deep understanding of ownership and borrowing.
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By Saurabh Chase
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In Swift applications, particularly those involving complex data flows and concurrency, developers may encounter issues with Combine, Apple's framework for declarative reactive programming. These issues often manifest as memory leaks, unresponsive UI updates, or unexpected cancellation of subscriptions.
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By Saurabh Chase
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In modern GraphQL APIs, developers may encounter performance bottlenecks or unexpected errors caused by inefficient resolvers, overly complex queries, or misconfigured schema design. These issues can result in degraded user experience and high server load.
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By Saurabh Chase
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In Go applications using goroutines for concurrency, developers may encounter deadlocks or race conditions that disrupt the application’s functionality and cause erratic behavior. Diagnosing and fixing these issues can be particularly challenging due to the non-deterministic nature of concurrent execution.
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By Saurabh Chase
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In Python applications, particularly those involving asynchronous programming with asyncio, developers may encounter issues with event loop handling, such as
RuntimeError: This event loop is already running or tasks being stuck and unresponsive. These problems often arise in complex scenarios where multiple coroutines interact. - Details
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By Saurabh Chase
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In C# applications using Entity Framework Core, developers may encounter issues with lazy loading, such as excessive database queries (N+1 problems), unintended loading of related entities, or misconfigured proxies. These problems can significantly impact application performance and scalability.
Read more: Resolving Lazy Loading Issues in Entity Framework Core
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By Saurabh Chase
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In modern Java applications using Spring Boot, developers may encounter issues with circular dependencies, where two or more beans depend on each other, either directly or indirectly. This can result in runtime errors, such as
BeanCurrentlyInCreationException, or cause the application context to fail to initialize. Read more: Resolving Circular Dependency Issues in Spring Boot
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By Saurabh Chase
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In modern JavaScript applications, particularly those using React with Redux, developers may encounter issues with state management such as unintended re-renders, stale state, or performance bottlenecks. These issues can arise due to improper state updates, selector inefficiencies, or middleware misconfigurations.