标签：#ha

Fi Ultra is the first Starlink-enabled pet tracker you can buy. It expands on GPS and LTE trackers, adding automatic failover to T-Mobile's T-Satellite-branded direct-to-cell service when venturing into cellular dead zones. That lets owners tap into SpaceX's constellation of low Earth orbit Starlink satellites to track their pets anywhere in the US. But it […]

I initially wanted to **make a side-scrolling game like MapleStory**. YouTube was flooded with "I made a game with AI (Claude)," so I thought it would be easy. But when I tried it myself – it turned out that **people with existing game development knowledge were just using AI to improve quality and speed**, not that you could just "make it for me" without any knowledge. In the end, what I completed wasn't a playable game, but an **"auto-battle" spectator game** (like raising a mushroom) that you just watch. This post is about that **honest journey** – where I got stuck, why I pivoted, and what I learned. (And you can try out the completed version via the **🎮 Play Now** link below.) I'm a developer in Korea building an AI chatbot alone. I only write about things I've **actually tried and experienced**.## 1. The First Wall — AI-Generated Characters Can't 'Walk' **Moving characters** are essential for games like MapleStory. So, I first tried **AI image generation (gpt-image) to create chibi characters** and then generated walk cycles (4 frames of walking animation) for them. This is where I got stuck. **With each frame, the character subtly became a different character** – the color of the clothes, the proportions, the face all changed slightly between frames 1, 2, 3, and 4. When stitched together in a game, the character wouldn't walk; it would just **tremble erratically.** The Ceiling of Character Animation — AI Generation vs. Pre-made Sprites ❌ AI-Generated Characters (Re-imagined each frame) 🧍1 🧎2 🕴️3 🧍4 → Clothing/proportions wobble each frame = 'Trembling' instead of walking ✅ Pre-made CC0 Sprites (Hand-drawn sheet) 🏃1 🏃2 🏃3 🏃4 → Consistent frames = Smooth walk cycle This is **exactly the same ceiling** I hit in Making AI Videos (Dev Log #3) – AI image generation **cannot create consistent character animation (multi-frame movement).** The same wall in videos, the same wall in games. 2. Pivot ① — Abandoning AI Characters for Pre-made Sprites So, my first surrender

Why I Choose Lovable for Building Full-Stack Applications with AI Over the last year, AI-assisted software development has evolved from generating code snippets to building complete web applications. We've all seen tools like Cursor, Claude Code, GitHub Copilot, Replit Agent, Bolt, and many others enter the market. Each has its strengths, but after experimenting with several of them, I keep coming back to Lovable whenever I want to build a new web application from scratch. This isn't a sponsored post—it's simply the workflow that has worked well for me. If you're interested in trying Lovable, you can use my referral link below. Disclosure: new users receive additional signup credits, and I receive referral credits if you sign up through it. Referral: https://lovable.dev/invite/AQ02SOZ Why Lovable Stands Out Most AI coding assistants help you write code. Lovable helps you build an application. Instead of focusing on individual functions or files, it takes a higher-level approach where you describe what you want, and it generates a complete full-stack application that you can continue refining. A typical workflow looks like this: Idea │ ▼ Describe the application │ ▼ Lovable generates • Frontend • Backend • Database • Authentication • API integration │ ▼ Preview instantly │ ▼ Connect GitHub │ ▼ Iterate and Deploy Unlike traditional no-code platforms, you're not locked into a proprietary editor. Lovable supports GitHub synchronization, native Supabase integration for authentication and PostgreSQL-backed data, and deployment options ranging from Lovable-hosted apps to your own infrastructure. Why I Keep Choosing Lovable After building several side projects, these are the reasons I continue to use it. 1. Rapid idea-to-production workflow The biggest productivity gain isn't AI-generated code. It's reducing the number of decisions needed before users can interact with your application. Instead of spending hours creating project structure, authentication, routing, database

For the last couple weeks, I've been in an extremely lucky position: I've been spending a lot of time playing games on Valve's Steam Machine. We gave the Steam Machine a 6, and I don't disagree with my colleague Sean Hollister's review. But even though I already own a PS5 and an Xbox Series X, […]