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I write about software engineering technical articles around programming, best practises and trending tech stacks. Subscribe to my newsletter to make sure you don't miss anything.

In the ever-evolving landscape of technology, the importance of good software engineering cannot be overstated. It's the core of efficient, scalable, and maintainable software solutions. While there are various methodologies and practices, a key aspect often overlooked is the art of finding the right solution at the correct layer and level of abstraction. On top of that, reliable software systems are best built with boring technology. You will learn more about these topics in this post, let’s get started!

As developers, we constantly dance between writing code, managing infrastructure, and keeping tabs on deployment and logs. Wouldn't having an AI teammate that simplifies these tasks be amazing? Duet AI is a Google AI tool that acts as your coding buddy and streamlines the development process, for most applications including Node.js. In this post, you will learn how to use Duet AI to write a simple Node.js API application and deploy it on Google Cloud Run.

Jest Mock Implementation is a technique that lets you replace the internal logic of a function with a custom implementation during test execution. This can be immensely helpful in scenarios where you want to isolate a specific piece of code for testing without affecting the behavior of other components. In this blog post, you will learn how to use Jest Mock Implementation and how to leverage it effectively. Let’s get started!

Are you a software engineer who works with PostgreSQL? Do you often find yourself needing to manipulate and aggregate strings in your database? If so, you're in luck because PostgreSQL provides a powerful function called string_agg. In this blog post, you dive into what string_agg is, how it's related to MySQL's group_concat, and walk through a couple of examples using real data. By the end, you'll have a solid understanding of how to make the most string_agg in your PostgreSQL queries. Let’s get going!

More posts can be found in the archive.

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