I tried to see if an AI that’s good at writing could also make smart moves in a game. I chose Battleship and set it up in Google Sheets to play against Gemini, the AI. The result was mixed. On one hand, yes, Gemini could play the game. It followed the basic rules and even managed to sink some of my ships. This was a big deal, especially since it took me a ridiculous number of days of coding to get there, and I nearly gave up at one point.
Dmitry Kostyuk has shared a blog post detailing his experiment pitting the Gemini API against himself in a game of Battleship. As explained by Dmitry while Gemini could follow the rules and even sink some ships, it needed help to avoid basic mistakes, revealing that AI still has room to grow in the realm of strategic games.
Dmitry built the game in Google Sheets and the source code is linked from the post. To guide Gemini, Kostyuk crafted detailed prompts outlining the game’s mechanics and decision-making logic. However, he encountered challenges due to Gemini’s limitations in providing strategic responses. Despite these hurdles, the project yielded valuable insights into prompting techniques for AI decision-making.
I recently faced a frustrating issue when writing data to a CloudSQL database with the JDBC class in Apps Script. I kept getting the following error:
Exception: Argument too large: SQL
I also observed that it only happened when my SQL query reached a certain length. I considered breaking it down into multiple queries, but I was still puzzled 🤔 because I was only sending a few dozen kilobytes of data.
Now, the thing is, the official documentation could be more helpful; even though the solution is there, it needs to be better explained. So, I turned to StackOverflow. There was a discussion on this exact topic, but to my surprise, I was still waiting for an answer. Until, well, I wrote it 😉
Well, well, well! Look who’s back for another session of “Weaving Magic with Code”! 😄 Today, we’re diving head-first into the magical world of unit testing. You might be wondering: “Why the fuss about unit testing?” 🤔
Unit testing, my friends, is the silent hero of software development. Picture it as a mini-pit stop where your code gets a once-over before it hits the road. The automated tests ensure that our code does exactly what we expect it to. The benefits?
Makes us ponder deeply about our app’s architecture, like a philosopher musing about the meaning of life 🧐
Forces us to clarify our expectations from functions and classes.
Ensures that as we revamp and update our code, we aren’t unknowingly playing host to bugs, much like a surprise party you didn’t want 🐛
Welcome back, code wranglers! Today, we’re diving into the world of developer dependencies that make developing projects more efficient than a coffee-fueled coder on a deadline. 🚀 You can find the complete source code in the part-04 branch of the Github repository. Also, feel free to mess around with this demo spreadsheet and play with Emojibar. I’ll be updating it with every new blog post!
What Are Dev Dependencies?
Dev dependencies are like your car’s GPS: they’re not necessary for the car to run, but they sure make getting to your destination a lot easier! 🗺️ They’re modules necessary for the development and testing processes of a project, but not for its production runtime environment. They’re not bundled with the source code and help automate tasks that would otherwise make you pull your hair out.
Let’s take our UI to the next level with Tailwind CSS!
Introduction
In the previous article, we learned how to bundle NPM modules with Vite. Today, we’re going to add some style with Tailwind CSS. If you’ve been following my series, you’ll breeze through this like a true professional. 🚀
Check out the part-03 branch in the Github repository for the full source code.
What Is Tailwind CSS
Tailwind CSS is a utility-first CSS framework that makes styling a breeze. Think of it like a wardrobe filled with every piece of clothing that you’ll ever need, with everything neatly organized and ready to go. 💃🕺
