I write code and build systems from scratch, amplified by Artificial Intelligence.

I'm a software developer and technology educator from Honduras 🇭🇳, passionate about building complete systems, understanding how they work, and sharing that knowledge with others.

I enjoy working across the stack — from backend services and web applications to mobile apps, infrastructure, automation, observability, and developer tooling.

For me, software engineering doesn't end when the code works.

💡 Idea → 📐 Design → 💻 Build → 🧪 Test → 🛡️ Secure → 📡 Observe → 📚 Document → 🚀 Improve ↺

I believe good software is not just written.

It is designed, built, tested, secured, observed, documented, maintained, and continuously improved.

Some of the systems and tools I work on:

Personal finance and reconciliation platform focused on helping users understand and manage their financial activity.

Areas: Backend · iOS · OCR · APIs · Authentication · Financial reconciliation · AI-assisted development

Smart water-reserve monitoring ecosystem combining hardware, backend services, and Apple platforms.

Areas: IoT · ESP8266 · Python · APIs · SwiftUI · iOS · Widgets · Apple Watch

Tooling for evaluating programming assignments and improving the software-development learning process.

Areas: C++ · Python · Automated testing · Static analysis · AI-assisted evaluation · Education

Shared engineering tools, prompts, conventions, documentation, and reusable workflows for AI-assisted software development.

Areas: AI · Developer tooling · Automation · Documentation · Software architecture · Engineering workflows

ICM + ICMd

Real-time Internet connection monitoring and diagnostics.

Areas: Linux · Networking · Monitoring · Automation · Web

I use Artificial Intelligence as another tool in the engineering toolbox — not as a separate development process, but as an amplifier throughout the entire software lifecycle.

🔎 Research · 🧠 Reason · 🏗️ Architect · 💻 Code · 🧪 Test · 👀 Review · 🛡️ Audit · 📚 Document · 🔧 Maintain

AI helps me explore ideas, challenge architectural decisions, accelerate implementation, generate and analyze tests, review code, identify potential issues, improve documentation, and maintain evolving systems.

My current AI-assisted workflows include tools and models from ecosystems such as:

• ChatGPT / Codex
• Gemini / Antigravity
• Ollama
• Local coding models
• AI-assisted documentation and code review

The principle remains simple:

AI amplifies the engineer. It doesn't replace engineering.

Teaching is an important part of what I do.

I enjoy turning software-development concepts into things students can build, test, break, debug, and understand.

Some of the areas I teach and explore include:

• Programming fundamentals
• C / C++
• JavaScript
• Web development
• Backend development
• APIs
• Databases
• Software testing
• Software architecture
• AI-assisted software development

Learning and teaching are two sides of the same process.

If I cannot explain something clearly, I probably need to understand it better myself.

Or, as I like to call them:

A few projects from different chapters of my developer journey:

• grades-weighted-automatically — Automatically calculate weighted grades using the Canvas LMS API.
• yafp — Terminal prompt customization with repository and Python environment information.
• enable — Making terminal life easier, more useful, and considerably more colorful.
• miner_preview — Cryptocurrency mining monitoring experiments and tooling.

Old projects are still useful.

Sometimes they are documentation.

Sometimes archaeology. 🏺

I build software from Honduras, in the heart of Central America.

A country of mountains, Caribbean islands, Mayan history, the Bay Islands, Copán — and, apparently, at least one person with too many repositories. 😅

GitHub Stats	Top Languages

GitHub language statistics describe repositories, not necessarily the developer behind them. Fortunately. 😅

Website: nelbren.com

GitHub: github.com/nelbren

Email: nelbren@gmail.com

I like open source, technology, music, video games, learning, teaching, and building things from scratch.

The tools change.

The languages change.

The frameworks definitely change — usually right after you finish learning them.

But the idea remains the same:

Understand it. Build it. Test it. Share it. Improve it.