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Coding agents work best when they have a good feedback loop they can use to verify their changes. Without a good local environment and feedback loop, agentic development quickly becomes a waste of time. My first experience with software development was javascript, building websites using frameworks like React. I loved my development setup back then. I would always have a local server, automatically refreshing on every change. If anything broke, I would instantly find out and fix the issue right away. I would also have my unit tests running constantly catching bugs in near real time. ...

After ignoring the whole “agent” hype for a while, I started to get that inevitable feeling of being left behind. That changed when I came across this blog post explaining the basic flow of an agent. It made me want to try it for myself and see what it actually makes an agent. This post is my walkthrough of that process: step by step, showing how to turn an LLM into an agent. The code here is mainly illustrative, meant to highlight the concepts rather than provide a fully working solution. ...

This is my story of how I went from non-tech into becoming a Machine Learning Engineer. I must have told this story multiple times in many different forms, but this will be the first time it goes into writing. Enjoy. I have a bachelor’s degree in Commerce. I found the last few years of school so exhausting that the thought of doing an engineering degree put me off. Four + years of no life? Oft, no thanks. I also thought I wasn’t smart enough to do engineering anyway so instead I chose Commerce - which “coincidentally” was the same degree my brother was doing. ...