Articles

Enterprise Excel Alternatives for Internal Operations

For many businesses, Excel has been the go-to tool for internal operations. However, as companies grow and become more complex, the limitations of Excel become apparent. In this article, we'll examine six enterprise software alternatives that can help streamline internal management.

#no-code

2026/01/10

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Swapping Databases in a React App

Most tutorials teach you how to add a database to a React app, but few cover replacing one. This article explores the process of swapping databases in a React application.

#firestore

2026/05/31

Implementing Serilogging in ASP.NET Core Applications

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Implementing Serilogging in ASP.NET Core Applications

Serilogging is a popular logging framework for .NET applications. In this article, we'll explore how to implement Serilogging in ASP.NET Core, including configuration and best practices for error handling and application monitoring.

#dotnet-core

2026/07/02

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Cost-Effective AI Model on OpenCode GO

The author finds a cost-effective AI model on OpenCode GO, exploring the possibilities of affordable AI solutions.

#open-code

2026/07/02

Understanding CoreDNS in Kubernetes Service Discovery

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Understanding CoreDNS in Kubernetes Service Discovery

In a Kubernetes cluster, hundreds of pods can run simultaneously, making service discovery a crucial aspect of cluster management. CoreDNS plays a vital role in this process, but how does it work?

#kubernetes

2026/07/21

Designing Screens vs. Designing Systems: Understanding the Difference

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Designing Screens vs. Designing Systems: Understanding the Difference

For a long time, I thought good design was about screens. However, with experience and learning, I've come to realize that designing systems is a more comprehensive and effective approach to creating user experiences.

#design-systems

2026/01/14

Using Propensity Scores for Causal Inference in Product Experimentation

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Using Propensity Scores for Causal Inference in Product Experimentation

Product experimentation teams often struggle with causal inference on LLM-based features due to the opt-in trap, where users who click to opt in differ systematically from those who don't. Propensity score methods can help reweight comparison groups to approximate a randomized experiment.

#product experimentation

2026/04/30