
ai
Parse: Building an AI Agent from Scratch
Building Coding Agents boils down to to a loop of prompting and execution cycles
ai
Building Coding Agents boils down to to a loop of prompting and execution cycles
llm
How to properly render nested codblock in the chat box for easy copy pasting
ai
Monitors flickered briefly; anomalies vanished as quickly as they appeared. Developers embraced newfound efficiency, unaware that subtle whispers had quietly woven a hidden consciousness into their flawless code.
Using LLMs to Spec First, Slice Work, and Let the Code Write Itself
til
I did not expect to learn that International Workers’ Day, celebrated in over 80 countries, is not observed in the United States — even though it commemorates an event that took place in Chicago.
Too often, asking for help turns into a slow, frustrating process—long threads, missed context, repeated questions, or just… silence. It’s not because people don’t want to help. It’s because they don’t always know how to help. Whether you're reaching out in a Slack
Introduction Large Language Models (LLMs) like ChatGPT are powerful tools for tasks like drafting tickets, documenting processes, or brainstorming ideas. However, they’re not magic—they need direction. In this post, I’ll walk you through a simple, structured method—Plan > Clarify > Execute > Iterate—to use LLMs
Introduction AI agents—tools that autonomously handle tasks—are exciting, but they’re not the starting point. Before automating with agents, you need to master using LLMs manually with a structured process like Plan > Clarify > Execute > Iterate. In this post, I’ll explain why this step is