Book List 2025
“One who is faithful in a very little is also faithful in much, and one who is dishonest in a very little is also dishonest in much. If then you have not been faithful in the unrighteous wealth,...
“One who is faithful in a very little is also faithful in much, and one who is dishonest in a very little is also dishonest in much. If then you have not been faithful in the unrighteous wealth,...

In the world of AI-assisted coding, getting agents to generate structured and predictable results can often feel like a challenge. Many developers rely on single-shot prompts, hoping their AI codin...

After nearly two years with GitHub Copilot, I’ve seen the skills needed to master it grow more complex, especially with the launch of agent mode. The push to create custom prompts has grown, and th...

Recently, I learned about a company that claimed to increase their productivity by 60% after adopting AI. This was quite surprising since most AI tools typically promise productivity gains of only ...

The idea of leveraging GenAI to become more productive has become widespread in recent years. The base knowledge and training data of GenAI models are already so useful that many knowledge workers,...
2024 was a year of breakthroughs in my career and finances. Although the last couple of years were tough, I learned again the value of waiting on God and staying disciplined. I believe that the con...

2024-12-02 Update: An updated and more complete version article is posted in Microsoft Dev Blogs - All things Azure. Please check this instead! GitHub recently announced metered billing for Gi...
This article is also posted in Microsoft Dev Blogs - All things Azure. This post is a version of my GitHub Enterprise Cloud EMU Initial Setup Guide, but revised for GitHub Copilot Business for...

Although I prefer taking physical notes during meetings, digitizing them can be a time-consuming process. In 2022, I created an Azure Logic App that uses Azure AI Vision to improve my productivity....

One significant challenge that AI/ML engineers often encounter is the transition from a Jupyter Notebook—a fantastic tool for prototyping and experimenting with data—to a deployable web application...