5 lessons I learned playing with Clawdbot, a local agentic assistant

I’ve spent the last few weeks playing with Clawdbot. My instance is named Clawd. If you haven’t seen this category yet: think “chat assistant”, but with hands. It can run commands, write files, poke your integrations, and generally do the annoying glue-work you normally do by tab-switching and copy/pasting. TL;DR Clawdbot lets you go from… Continue reading 5 lessons I learned playing with Clawdbot, a local agentic assistant

My Python logging setup

Working on various Python projects has taught me the importance of consistent logging, especially when dealing with distributed computing frameworks like Spark. Logging is not just about keeping track of errors or information; it’s about having a detailed and systematic record of the operations to understand the flow of your program and quickly diagnose issues.… Continue reading My Python logging setup

Classifying fruits with a Convolutional Neural Network in Keras

I followed a tutorial on Convolutional Neural Networks that left many questions unanswered. Soon I realized that the actual process of architecting a Neural Network and setting the parameters seemed to be much more experimental than I thought. It took a while to find explanations that a rookie like me could understand. Most of the… Continue reading Classifying fruits with a Convolutional Neural Network in Keras

10 things I learned while deploying my first python function to AWS Lambda

I spent a few days on and off trying to deploy a Flask REST service to AWS Lambda, just to experience what the cool kids were talking about. These are some of the things I learned along the way:   Zappa is the easiest packager/deployer for python (as of December 2018) Zappa provides good quality… Continue reading 10 things I learned while deploying my first python function to AWS Lambda