Kevin here, and we're cranking up the AI in Episode 3 of our "Let's Build Cursor" saga! We're not just building an AI coding agent; we're building your future coding superpower – and it's all happening live, open-source, and step-by-step.
Forget theory; we're getting our hands dirty. This episode is all about transforming our basic CLI coding agent (from Episode 2) into something truly useful. We're adding the brains and the brawn to make it a tool you'll actually want to use every day. Think of it as going from a go-kart to a race car!
Here's the upgrade plan – no fluff, just pure coding power:
Error-Busting Intelligence: We're bolting on a TypeScript language server. Why? Because nobody likes debugging cryptic errors! This is like giving our AI a built-in spellchecker and grammar guru for code, catching those pesky mistakes before they become headaches. We'll also be integrating ESLint and Prettier to automatically format everything so your code won't just work – it'll look beautiful, too.
Building the Codebase Brain: This is where things get really interesting. We're creating an index of your entire codebase. Imagine a super-detailed map that shows every file, function, and connection. This is how we give our AI context. It's the difference between searching for a needle in a haystack and having a GPS that leads you straight to it. We'll use tree-sitter and a lightweight LLM (like Gemini Flash – it's fast and cheap!) to make this happen efficiently.
From Manual to Automatic: Remember that clunky feeling of manually copying and pasting code? We're automating that! Our AI will learn to intelligently select the right files for any given task. It's like having a research assistant that instantly finds the relevant information you need, saving you tons of time and mental energy.
Open-Source and Ready to Run: Just like before, all the code is open-source. You can follow along, experiment, and even contribute! This isn't just about watching me build; it's about empowering you to build your own AI coding tools.
Making it work: We go through the usual prompting process, extracting our tasks into markdown files, and get the agent to execute the tasks in our CLI tool.
The big picture? We're building more than just a tool; we're building a workflow. We're laying the groundwork for an AI coding agent that's not just a novelty but an indispensable part of your development process. This series is all about understanding the "why" and the "how" behind these powerful tools, so you can become a true AI-enhanced developer.
So, ditch the frustration and join me as we supercharge our coding agent! Get ready to witness the power of AI, demystified and put directly into your hands. Let's code the future, together!
Links:
ChatGPT Conversation: https://chatgpt.com/share/67d05a20-f35c-800d-82fb-34387fce9c12
forq-cli Repo: https://github.com/kleneway/forq-cli