Rebuilding Invoice System with AI: A 48-Hour Journey

AI Code Assistants: Blurring the Lines Between Categories

For long, AI Coding tools have naturally split into specialized roles to solve different developer needs, Inline assistants for real-time suggestions and Multi-file editors for broader changes. Today, these approaches are converging, making our development workflows more efficient than ever.

I see two distinct categories of AI code assistants in our development landscape.

The inline assistance category, championed by GitHub Copilot and Codeium, excels at real-time completions and suggestions. These assistants are like pair programmers who peek over your shoulder, helping you craft code line by line. While Copilot started with simple completions, its recent addition of chat participants and multi-line edits shows this category expanding beyond its initial focus. Codeium has followed suit for inline edits, with their Windsurf editor earning praise for multi-file edit capabilities.

Serverless Invoice Management System with AWS

My LLM Workflow: ChatGPT, Copilot, and Other Tools

Generative AI, LLMs and OpenAI have swept accross many aspects of our lifestyle since they are released to General Public. People are taking it across the spectrum. Some of them love it, some of them don’t like it and some of them are waiting for the dust to settle. I am one of those who love it and using it in many aspect of my life. In this post, I will tell you how I am using it and what are some tools under my belt. I will also share some of the interesting reads that helped me getting started and some which I still follow to keep myself updated. So let’s get started.

ChatGPT and the Future of Technical Interviews

The age of AI and LLMs are upon us already. And it’s changing many aspects of life. Making most of the things easy, while making some things obsolate. But one thing is sure, things are not going to be same moving forward.

In the age of AI and large language models like ChatGPT, the way we conduct interviews is changing. Traditional theoretical knowledge-based questions may not be as effective in assessing a candidate’s true potential (I always believe it serves a limited purpose).