How I Built an AI-Powered Chess Teacher in Minutes: The Future of AI-Assisted Development
Imagine building a fully functional chess teacher in just minutes — sounds like a dream, right? With AI-assisted development, this dream became reality. Using KODU.AI, a tool that automates much of the coding process, I created a playable version of an LLM-powered chess instructor within minutes and then spent three hours refining it.
In this article, I’ll share my journey of building this chess teacher and explain how AI is revolutionizing the way we prototype and build software today.
A Playable Chess Teacher in Minutes: The Power of KODU.AI
Prototyping typically requires deep technical skills and time, but AI tools like KODU.AI have changed that. In just minutes, I had a playable version of a chess game that analyzes moves, provides real-time insights, and helps users improve their skills. I continued refining the project for a few more hours, enhancing its functionality and polish.
Here’s how KODU.AI made it happen:
- Instant File Creation and Setup
Within minutes, KODU.AI created all the files and components I needed to get a basic chess game up and running. This rapid setup was a game-changer. - Autonomous Code Corrections
As I refined the game, KODU.AI autonomously identified and corrected any errors that came up, reducing the time I would have spent debugging and letting me focus on adding new features. - Automated Deployment
After a few hours of refinement, KODU.AI handled the deployment process seamlessly. With just a few commands, the project was live on GitHub Pages, ready for anyone to try.
You can check out the project’s code on GitHub, or try out the live chess teacher here (you will need your OpenAI API key and Assistant ID).
Why This Matters: The New Era of Rapid Prototyping
This experiment highlighted a major shift in how quickly we can go from idea to product. The implications are huge:
- Rapid Prototyping for Everyone
You no longer need to be a full-stack developer to build something innovative. With AI tools, anyone with an idea can create a working prototype in hours or even minutes. - Technical and Product Roles Are Blurring
Product teams can now experiment with ideas on their own, without waiting for developers to build the first version. This convergence of technical and product roles means that technical product people — those who understand both the product vision and the technical landscape — will become more valuable than ever. - AI Is Making No-Code Tools Less Relevant
While no-code tools were built to empower non-developers, AI-assisted coding is proving to be faster and more flexible. Why settle for limited no-code platforms when you can build fully custom prototypes in less time with AI-powered development?
KODU.AI vs GitHub Copilot: A Bold Claim?
Here’s where it gets a bit controversial: I believe KODU.AI is actually better than GitHub Copilot. That might surprise many since Copilot is widely regarded as the best in the market. But from my experience, KODU.AI took things a step further — its ability to create, edit, and update files while working with the command line gave it an edge. This tool also reminds me of what Magic.dev is trying to build, but I found KODU.AI a game-changer.
What’s even more surprising? KODU.AI is based on Claude, not OpenAI. For those who are used to seeing OpenAI dominate the space, this is a fresh take on AI-driven development, and it works.
The Backstory: Why KODU.AI Exceeded My Expectations
Just two days before discovering KODU.AI, I had actually started building my own extension because I couldn’t find a VS Code tool that could both create and edit files while working seamlessly with the command line. My wish was simple: a tool that would not only build files for me but also autocorrect along the way. To my amazement, KODU.AI did all of that and more — turning my vision into a reality faster than I could have imagined.
What’s Next for AI in Development?
The real game-changer is what’s coming next. My experiment with AI-assisted development is just the beginning of an even bigger transformation. Here’s how I see the future evolving:
- Even Less Human Intervention in Building Apps
As AI continues to develop, we’ll need fewer and fewer human interactions to build complete applications. AI will be able to handle more complex tasks autonomously. - No Need for Code Editors
In the future, apps might be built and presented directly to product-oriented people (or product-oriented AIs). AI-powered QAs will evaluate the output, correct errors, and continuously improve the results — removing the need for traditional code editors. - Prototypes with Minimal Human Interaction
Imagine product prototypes being built and released automatically with little to no human intervention, tested on selected user bases, and iterated upon — all driven by AI. This means faster hypothesis testing and quicker product validation cycles. - Anyone Can Build a Game in Minutes
The most exciting shift will be how accessible this technology becomes. Soon, anyone, even kids, will be able to create games simply by stating their vision. The “MacOS moment” will come when a child can sit in front of a screen, say what they want to play, and AI will generate the game in seconds. This is the next step in democratizing creativity and innovation. - The Internet of AI Agents
Further developments in AI models are paving the way for a future with the “Internet of AI agents.” These agents will work autonomously across systems and industries, interacting with one another, optimizing processes, and learning continuously. This shift is a whole other story, but it represents the next frontier in AI-driven interactions.
Testing at Scale
While my initial experiment was a success, I plan to test KODU.AI in my work on an enterprise project. The real test will be how it performs at scale, handling large codebases, complex tasks, and more extensive workflows.
A Shoutout to KODU.AI
Special thanks to the KODU.AI team for building such a powerful tool. Their innovation is pushing the boundaries of what AI can do for developers, and I encourage everyone to try it out. If you’re looking for an AI assistant that does more than just help — one that creates, edits, and deploys your code — you’ll want to give KODU.AI a shot.
I’m the AI Lane Tech Lead at DreamHost, with over 10 years of experience as a software engineer. Throughout my career, I’ve run my own company, managed teams, and worked with several US-based startups. The rapid advancements in AI are redefining how we build — and it’s exciting to be part of this transformation.
Try it Yourself: Want to see how easy AI-assisted development can be? Check out the “LLM-Powered Chess Teacher” on GitHub or play the live demo.
