u/CoconutKey4938

Let’s see how far I can get today building out this shop scene in Unity.

I’ll post a short video: main scene walk-through, up to the shop door, and then into the new shop interior. I’ll also drop my blueprint diagram so everyone knows the layout I’m shooting for.

Goal: build the whole scene—walls, shelves, counter, everything—plus an interactable NPC, all done by midnight tonight.

Challenging myself to move fast and stay accurate. If you’re up for it, try it too and see what you can make in a day. Doesn’t have to be in Unity—could be anything you want to build and share here.

Let’s get to work.

+-----------------------------------------------------------------+
| Shelf                         Shelf                     Counter |
|                                               (Top Right Corner)|
|Small Shelf                                                      |
|  (left wall)                                                    |           
|                                                       Shelf     |
|Window                                              (right wall) |
|  (left wall)                                                    |           
|                                                                 |
|Small Shelf                                                      |
|  (left wall)                                                    |           
|                                                       Shelf     |
|                                                    (right wall) |
|                                                                 |
| Spawn                                                           |
| (bottom left)          Shelf               Shelf                |                
|                      (bottom wall)      (bottom wall)           |                                   
+-----------------------------------------------------------------+

https://reddit.com/link/1td05kk/video/giqi0os0641h1/player

If you want to truly excel in AI, don’t stop at learning code—aim to be an AI engineer who bridges the gap between software and hardware. It’s easy to think that models and code are all that matter. But real-world AI depends just as much on how your software interacts with the machines that run it.

When I built my first chatbot, I learned this lesson the hard way. I encountered "phantoms"—invisible hardware problems that caused mysterious crashes and weird behavior, even when my code looked perfect. Task managers didn’t help, and no amount of debugging in software could solve it. The real fix? Understanding what was happening inside my machine: overheating components, overtaxed memory, and hardware bottlenecks.

Everything changes once you start paying attention to hardware. Getting a model to answer in a second instead of a minute often depends on picking RAM and GPU ports wisely, not just optimizing algorithms. Stability suddenly means thinking about cooling and power delivery—because a hot or underpowered GPU can halt your project, no matter how elegant your code is. Little steps, like reseating a GPU or adding a cooling fan, go further than most bug fixes.

This doesn’t mean you need to be a hardware engineer, or build your own chips. It means being comfortable with practical basics: opening up your desktop, watching temperature and usage monitors, or learning what bandwidth your model consumes. Knowing how different hardware setups affect your AI is a skill you’ll use whether you’re building smart gadgets on Raspberry Pi, deploying models to laptops, or scaling up to server farms.

I’ve seen solo developers create smart, private apps running locally on affordable hardware—simply by tuning their setup with hands-on tweaks. Conversely, I’ve watched others hit the wall with confusing errors or burnt-out equipment, just because they ignored the physical side of AI systems.

Don’t limit yourself to the software layer. Embrace the challenge: learn how your AI uses memory, how your GPU works, and what keeps your system cool. Monitor for “phantom” problems. Fix what the code can’t reach. The more you understand about both sides, the stronger—and more reliable—your AI creations will be.

If you want to make an impact, go beyond code. Be an AI builder who knows how to take models from idea, to software, to real-world hardware that runs fast and never quits. That’s how you level up and stand out.

is hardware engineering not along with ai engineering?
if you can't deal with the hardware you cant deal with this software...

Hey everyone,

It’s been 27 days since my last post—sorry for the long silence! On top of everything else, I just had to retake a web fundamentals exam, fighting to stay awake after a rough day of studying while under the weather. Luckily, I managed to score a 70 and pass.

Life threw me some curveballs, too: I had to take an unplanned long trip to help an old friend move back home, and then got sick soon after. I’m finally feeling better and getting caught up on everything.

Now, I’m planning to wipe my external hard drive and laptop for a total fresh start. Before I do that, I’d love your input on where I should focus next to expand my skills. Here’s a deeper look at what I’ve been working on so far (and just to emphasize—all of my AI work here is being done fully locally, never using cloud-hosted models):

• Built and maintained full-stack Node.js/React and Electron apps, integrating large language models (LLMs) such as Llama.cpp and Ollama for AI-powered chat features, prompt engineering, and semantic data workflows.
• Designed automated pipelines to process PDF, CSV, and GeoJSON files for semantic search, interactive mapping (Leaflet/react-leaflet), and multi-format exports (PDF, HTML, Markdown).
• Developed an XR/AR Mac app that turns live camera feeds, artwork, and videos into spatial/AR experiences, leveraging MiDaS ONNX for AI depth mapping—optimized for VITURE Pro XR glasses.
• Integrated AI into Unity as chatbots and nearly AI-controlled characters, including runtime, AI-driven game world generation similar to Minecraft and other sandbox games (procedural, LLM-augmented content and logic).
• Built and debugged image, music, and video generation workflows locally with ComfyUI—experimenting with pure on-device models for creative tasks and not touching cloud-based AI providers at all.
• Engineered robust backend-to-frontend data sync with Python, Java/JavaFX, and Tkinter, focusing on error-proof export/import and responsive UI updates for game and desktop app projects.
• Led live debugging, troubleshooting, and production-quality bug fixes in desktop apps and modular exporter/content projects.
• Built modular comic book and children’s book PDF exporters with AI-powered layout, captions, and formatting generated from chat or user input.
• Formal education: Graduate Diamond and Graduate Colored Stones, Gemological Institute of America (GIA), Carlsbad, CA.

Given my focus so far, what would you tackle next? Are there specific areas in AI, programming, Unity/game development, or related tech that you’d recommend digging into? I’d really appreciate your thoughts and advice.

Thanks in advance—it’s great to be back!