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Welcome: This Site as a Learning Lab

·2 mins
Website Hugo Congo Learning Knowledge-Management Ai-Agents Pair-Programming
Table of Contents

This is the first post after moving bil.arikan.ca from Astro to Hugo.

The migration matters, but the stack is not the goal. The goal is to have a stable space where I can run experiments, document outcomes, and improve my practice over time.

Goal #

In this site, I am aiming to:

  1. Develop ideas on learning design and performance support.
  2. Build better Markdown-first knowledge workflows.
  3. Practice pair-programming with AI agents in practical tasks.
  4. Keep a long-term record in a space I fully own.

Current approach #

I am using a simple cycle: identify a problem, prototype, test, and capture what changed.

flowchart TD A[Observe a problem] --> B[Write a short note] B --> C[Prototype with code or content] C --> D[Pair-program with an AI agent] D --> E[Refine with human judgment] E --> F[Publish and iterate]

In this flow, AI helps with speed, but decisions stay human. I use agents to draft, test, and check; then I edit for clarity and intent.

Current skill focus #

Right now, my focus is strongest on practical skills that improve delivery speed and decision quality in real projects.

  • Learning architecture and performance support design
  • Markdown-based knowledge management workflows for AI Agents
  • Performance measurement data gathering and presentation architecture
  • Pair-programming with AI agents for prototyping and validation
  • Learning Experiences driven by product-led and Agent collaboration principles

What I will publish here #

Most posts will fall into one of these categories:

  1. Working notes from experiments.
  2. Practical guides I can reuse.
  3. Reflections on what worked, what failed, and what I changed next.

For now, the standard is usefulness over polish. If a post helps me make better decisions in the next iteration, it has done its job.

Next step #

My next focus is to keep tightening the loop between writing, prototyping, and measurement, especially in projects where learning design and software workflow overlap.