DEV Community: Aremu Feranmi

RICO: A Real-Time AV Signal Router for MIDI, OSC, NDI, Spout, and DMX (C++/DirectX11)

Aremu Feranmi — Sat, 19 Sep 2026 16:14:35 +0000

I want to share a project I've been working on: RICO, a Windows application that acts as a central hub for real-time multimedia protocols — the kind of glue layer that VJs, installation artists, and creative technologists usually end up hand-rolling or patching together in Max/MSP or TouchDesigner.

What it does

RICO bridges together:

MIDI — routing, learn mode, remapping
OSC — send/receive to multiple destinations at once
Spout — real-time texture sharing between DirectX apps
NDI — video streaming over a network
DMX/Art-Net — lighting control
MQTT — IoT/custom hardware
Audio analysis — FFT-based reactivity with beat detection
Guitar-to-MIDI — live audio-to-MIDI conversion
Ableton Link — tempo sync across devices
Virtual MIDI — software MIDI ports via teVirtualMIDI
Why

Anyone who's tried to connect a MIDI controller to a generative visuals engine, then also route DMX to a lighting rig, then sync it all to Ableton's tempo, knows there's no single lightweight tool that does all of this without a ton of setup. RICO tries to be that tool — plug in, open the app, route signals, done.

Stack

Built in C++ with DirectX 11 and ImGui for the UI, and leans on some solid libraries under the hood: RtMidi, oscpack, Spout, the NDI SDK, paho-mqtt, miniaudio, pffft, and Ableton Link.

Status

It's in public beta (v2.2.0), Windows 10/11 x64 only. Closed source for now, with a public source release planned for later. There are demo videos in the repo showing it driving audio-reactive projection in TouchDesigner and running as a live video switcher.

If you work in real-time visuals, interactive installations, or live performance tooling, I'd love feedback on what protocols or workflows are missing.

Repo: https://github.com/mayakhalil-cmd/RICO

What if an Applicant Tracking System could explain why a candidate was rejected?

Aremu Feranmi — Mon, 14 Sep 2026 14:07:26 +0000

Hiring systems increasingly rely on automated scoring, but when an ATS makes a decision, it can be difficult to understand what actually influenced the outcome.

AI Bias Firewall (AIBF) is an open source project designed to provide an explainable bias detection layer for Applicant Tracking Systems.

AIBF can:

• Analyze ATS scoring decisions
• Identify potential protected attribute proxies
• Measure how different factors contribute to a decision
• Flag potentially biased outcomes for human review
• Generate plain language explanations
• Learn from HR feedback through model retraining

One of the interesting aspects of AIBF is its open source and method documented approach, allowing developers and researchers to inspect, test, and improve the system.

The project uses synthetic data, so no real candidate information is included in the repository.

For developers, researchers, and professionals working in AI/ML, HR technology, responsible AI, algorithmic fairness, or explainable AI, AIBF is worth exploring.

🔗 Explore AIBF on GitHub: https://github.com/jbarach2012/AIBF_API

ResponsibleAI #ExplainableAI #AlgorithmicFairness #AI #MachineLearning #HRTech #OpenSource #GitHub

wow this repository is amazing

Aremu Feranmi — Mon, 14 Sep 2026 13:54:04 +0000

Maria B. Ryan

Sep 14

What if your Rust application could run natively on desktop and in the browser without Electron.

#opensource #rustdeveloper #web3 #ai

1 min read

Getting Started with an Open-Source GitHub Project: A Beginner's Guide

Aremu Feranmi — Fri, 24 Jul 2026 22:48:58 +0000

Open-source software powers much of today's technology, yet many developers hesitate to try new projects because getting started can seem overwhelming. In this guide, I'll walk you through a practical approach to exploring an open-source GitHub repository, understanding its purpose, and running it locally.

Why Open Source Matters

Open-source projects allow developers to:

Learn from production-quality code
Contribute improvements
Report bugs
Build real-world experience
Collaborate with developers worldwide

Whether you're a student, software engineer, or AI enthusiast, contributing to open source is one of the fastest ways to improve your technical skills.

Step 1: Clone the Repository

Start by cloning the repository to your local machine.

git clone https://github.com/aremuferanmi72-stack/Freddierobe.git

Replace OWNER and REPOSITORY with the actual GitHub repository.

Step 2: Read the Documentation

Before writing any code, spend a few minutes reading:

README.md
Installation guide
Contributing guidelines
License
Issues section

This gives you a clear understanding of the project's goals and development workflow.

Step 3: Install Dependencies

Every project has its own setup process. Common examples include:

Node.js
npm install
Python
pip install -r requirements.txt
Docker
docker compose up

Always follow the project's official installation instructions.

Step 4: Run the Project

Launch the application using the recommended command.

For example:

npm start

python main.py

Verify that the application starts successfully before exploring its features.

Step 5: Explore the Project Structure

Most repositories include folders such as:

src/ – source code
docs/ – documentation
tests/ – automated tests
examples/ – sample usage
config/ – configuration files

Understanding the structure makes it easier to navigate and contribute.

Step 6: Test the Core Features

Spend time using the project as an actual user.

Ask yourself:

What problem does it solve?
Who is the intended audience?
What features stand out?
Was installation straightforward?
What could be improved?

Documenting these observations helps you write useful tutorials and provide meaningful feedback.

Step 7: Contribute Back

Even if you're new to open source, you can contribute by:

Improving documentation
Reporting bugs
Suggesting enhancements
Fixing small issues
Answering community questions

Every contribution helps strengthen the project.

Tips for New Contributors
Start with beginner-friendly issues.
Read existing discussions before asking questions.
Follow the project's coding standards.
Keep pull requests focused and easy to review.
Be respectful when communicating with maintainers.
Final Thoughts

Open-source projects are more than code repositories—they're collaborative communities where developers learn, share ideas, and build software together. By taking the time to understand a project's documentation, install it correctly, and experiment with its features, you'll gain valuable experience and be better prepared to contribute meaningful improvements.

If you have a GitHub project you'd like others to discover, creating practical tutorials like this one is an effective way to help developers understand its value and encourage genuine adoption.

I'm new here

Aremu Feranmi — Fri, 24 Jul 2026 22:44:02 +0000

Hi everyone! 👋 I'm Freddie from Nigeria. I specialize in ethical GitHub repository promotion, helping open-source projects increase visibility through genuine stars, forks, followers, and community engagement. I'm excited to be here, learn from the community, connect with developers, and contribute where I can. Looking forward to meeting you all!