Holy shit its done!! Check it out on Github here Getting to this point was a ton of work and I am so glad that it’s at point of minimum viability for release. In this post I want to go through some of the struggles, the triumphs, and what is next for the project. 🪦 The Struggles 🪦 A few things were much, much more difficult than I anticipated. In no particular order, they were:
A big reason why I am researching AI Agents so much is I want to try my hand at building a software development agent of my own named Taylor. The overall goal is for Taylor to be a fully autonomous AI-powered junior developer who can be a genuine asset on a development team. I want to take this idea as far as I can on my own, and use the finished product in future projects to augment my own capabilities.
With all the hype about “AI automating your job away,” there is a lot of talk about the “what” but not the “how.” Agents are today’s best shot at getting an AI to do useful work for you, and in this series I want to go over the latest advances in the open-source AI agents space, domain by domain. What are AI Agents? Simply put, an AI agent is a foundational model (like GPT 4 or Llama 2) that has been specially prompted with a task to complete, a set of human-designed tools to complete it with, and can execute prompts multiple times to generate a solution.