Resources

People often ask me "How did you learn how to hack?" The answer: by reading. This page is a collection of the blog posts and other articles that I have accumulated over the years of my journey. Enjoy!

The LLM revolution has come and it's either time to get with the times or get kicked to the curb. Still, different people find different uses for it and it's adoption is different person to person.

The first advice is to group the Chatbot in the web for coding. It's bad at this and doesn't have all of the necessary context. Agents are where the real value is at.

At first, the tools weren't very good. So, the author would do each commit twice: once with the tool and once by myself. Although this took more time, I allowed the author to gain skills on HOW to use the tool. A few tips that had for this:

• Break down sessions into clear and actionable tasks.
• For vague requests, split the work into a planning and execution session.
• Give the agent a way to verify its owne work. It will fix its own mistakes.

The final 30 minutes of the day, they kick out one or more agents. This can be a deep research session, parallel agents working on vague ideas/thoughts and a PR triage/review summarization process. I like this approach, since it prepares you well for the next day and uses the extra credits you have.

If something is a slam dunk, then outsource it. While this is going on, you should be doing your own separate work. If you just scroll on your phone while the agent runs, you don't really gain anything. This helps counter issues around AI depleting all of your skills as well, such as talked about here.

They mention to turn off notifications on the agent. While using Claude Code, I've definitely found myself getting tired because of the amount of context switching I was doing. So, don't let the agent notify you; only go to the agent within natural breaks in your work.

If a mistake is made, then figure out how to never make the same mistake again. Either via better prompting or adding new tools to use. The author mentions running a single agent at a time but is always running something. Anything more than one ends up with you losing the context imo. Overall, a good post on LLM usage.