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AI has made life easier for us developers. Dozens of AI tools are getting more advanced every day, shortening and speeding up the development cycle. Converting an idea into a concrete MVP is faster than ever before. Intelligent models turn your ideas into a working project with just a few prompts. End users or product owners can see the application, use the beta version, and give feedback on the spot.

I spend most of my day in Claude Code these days. Most of my development processes changed after having access to my own personal assistant. In this post, I'll show you a real-life example of how bug fixes are often done on elmah.io now. I hope it will inspire someone to optimize their workflow and get even more out of their elmah.io subscription.

As developers, we often fall into common pitfalls that impact the performance, security, and scalability of our applications. From neglecting data validation to overengineering, and from ignoring async/await to mishandling resource disposal, even experienced C# developers can make these mistakes. In this post, I've gathered some of the most frequent issues developers encounter in C# and how to avoid them with practical solutions.

APIs are the heart of most modern applications. Due to their simplicity and lightweight design, RESTful APIs are a popular choice for client-server communication in most applications. However, APIs can become limiting when fetching complex or related data. The front end may over-fetch or under-fetch the meaningful data. For example, different pages require different responses. RESTFul APIs require different field endpoints, each involving repetitive complex joining conditions.

Four years ago, I wrote the blog post The NuGet packages we use to build elmah.io. Since then, we have made several changes to our tech stack as well as upgraded to recent versions of.NET. For this post, I'll update you on the packages we use as of writing this post. I hope you will find some inspiration in seeing how a system like elmah.io is built.

Benchmarking is essential in application development, especially if you aim to scale up your app. Benchmarking enables you to evaluate your application's resource consumption, which helps you identify potential updates to speed up performance. If not scaling, you will need the application performance to be optimal to enhance user experience and reduce memory and processing costs.

C# has always been one of the most popular programming languages among developers. It continuously evolves to meet timed features and trends. Its robustness and flexibility make it an all-purpose language and ideal for domains like desktop applications, enterprise systems, web development, games, and cross-platform and native mobile applications. With the launch of.NET 9, Microsoft introduced C# 13, equipped with new features to improve developer productivity and code quality.

You may have encountered a situation where you must do some backend job without user intervention. For example, in an IOT application, your application needs to receive frequently published data from devices or send scheduler values to devices. .NET provides background job libraries for such tasks. I will discuss one of the background libraries, Quartz.NET, with a coding example. I will break down Quartz for you with simple, practical examples.

.NET 9 is releasing in mid-November 2024. Like every.NET version, this introduces several important features and enhancements aligning developers with an ever-changing development ecosystem. In this blog series, I will explore critical updates in different areas of.NET. For this post, I will look through advancements in System.Text.Json.

.NET 9 is releasing in mid-November 2024. Like every.NET version, this introduces several important features and enhancements aligning developers with an ever-changing development ecosystem. In this blog series, I will explore critical updates in different areas of.NET. In this post, I'll look at two new LINQ methods: CountBy and AggregateBy.