ReeceCode

ReeceCode ReeceCode = {GameTheory and Decision Making, Coding and Automation, DataScience, Competition, Entrepreneurship, Business Coach}

The Now + Future: Elixir/Erlang 🤖 🧠 : Do you agree? 👇
26/03/2026

The Now + Future: Elixir/Erlang 🤖 🧠 : Do you agree? 👇

I’m migrating my 3AAOS Project from Python to Elixir/Erlang. Stop building linear "trains"—start building "swarms." It’s...
24/03/2026

I’m migrating my 3AAOS Project from Python to Elixir/Erlang. Stop building linear "trains"—start building "swarms." It’s time to maximize 100% hardware power for the Software 3.0 era. 🛠️⚡: Are you migrating, and why if so?

The "Vibe Coding" Reality Check
05/02/2026

The "Vibe Coding" Reality Check

Low-Fi Aesthetic or Hardware Bottleneck? 📉🤔 My first results from a fully local content engine.
23/01/2026

Low-Fi Aesthetic or Hardware Bottleneck? 📉🤔 My first results from a fully local content engine.

I've been building a "programmable second brain" where my agent, Ariana, acts as a digital router. She organizes my mess...
21/01/2026

I've been building a "programmable second brain" where my agent, Ariana, acts as a digital router. She organizes my messy thoughts in the background, turning them into a "Legolized" second brain so I can focus on working. I'm now focusing on spawning multiple agents at once to break down tasks into sub-tasks for more speed and control over the system.

14/01/2026

Why drag and drop when you can code? In this walkthrough, we're ditching manual design tools like Canva to build a fully programmable transition screen using Manim.
By using "instructions-as-graphics," we can create deterministic, frame-perfect transitions that are easy to update and reuse.
What’s inside the code:
âś… Code-Defined Canvas: Using Python to set geometric boundaries.
âś… Layering Logic: Managing the Z-axis through object instantiation order.
âś… Dynamic Pulse: Using mathematical rate functions to automate complex animations without manual keyframing.
If you prefer programmable graphics over manual design, this Manim workflow is for you.
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13/01/2026

The Vector Engine: Building a Python Workflow Pipeline for Stable Diffusion SVG Generation
In this walkthrough, we are bridging the gap between raw AI generation and production-ready design. I’m breaking down a custom Python Vector Workflow Pipeline specifically designed to handle Stable Diffusion SVG generation.
We are moving past the limitations of raster images. This script acts as the "Code Layer" for your creative assets, utilizing vtracer to mathematically transform AI-generated JPGs into clean, scalable vectors. We’ll dive into spline-based smoothing, hierarchical stacking, and the precise threshold settings required to turn a Stable Diffusion output into a high-fidelity design asset.

07/01/2026

In this walkthrough, we are diving into Digital Engineering. I’m breaking down the SmartRouterV5_0—a production-ready Python script designed to act as an intelligent switchboard for your AI stack. Instead of manually choosing your model, this system analyzes your input—whether it’s high-context code, multimedia files, or cloud CLI requests—and routes it to the most efficient engine. We are building the "Code Layer" for automated intelligence. We’ll explore how to bridge the gap between local power and cloud scale, using Ollama for privacy and speed, and Gemini 2.0 for ultra-heavy context. This is how you turn technical friction into a streamlined, autonomous workspace

06/01/2026

My AI assistant, Ariana, has a brain—but she’s currently deaf. In this diagnostic phase, "nothing" is the problem, specifically a recording that hears nothing at all. This video covers the "Bridge" phase where we move from just listing devices to aggressive hardware acquisition.
If your AI isn't hearing its wake word, it’s often because other apps (like Chrome, Zoom, or Discord) have a "hostage" lock on your microphone (the dreaded Error -9999). We’re using a high-level Python diagnostic to hunt down these "audio offenders" using psutil, terminating those processes to free up the hardware, and specifically forcing the system to hand over control to our Blue Snowball microphone.
The Overview:
🔹 Hardware Mapping: We use a mix of PowerShell commands and PyAudio to get a "ground truth" list of every PnP audio entity on the system.
🔹 Process Hijacking: The script identifies apps locking the audio interface and kills them to release the hardware handle.
🔹 Securing the Lock: Once the path is clear, we initialize the PyAudio engine to "bridge" the gap between the hardware and the AI core.
🔹 Verification: We run a "1-2, 1-2" mic check and save a verification file to ensure the AI is ready to hear its name: "Hey Ariana."
This is how you move from a silent script to a responsive AI. It’s not just coding; it’s hardware enforcement.

30/12/2025

Secure Shuffling in Python: Stop Using `random.shuffle`!

27/12/2025

Analyzing competitive game state with Gemini 2.5 Flash and Python.

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