After three years of "planning to start" plus navigating cycles of self doubt and waiting for the "perfect" time. I’ve finally decided to just hit publish. In the past, I’ve always been amazed by how great engineers and business leaders explain complex ideas through writing. I’ve realized that sharing isn't just about helping others but it’s the best way to strengthens my own understanding.
2026 is officially the year I stop overthinking and start sharing.
My Accountability: The Weekly Log
To keep myself consistent, I’m launching a weekly recap to log my new knowledge and professional growth. You can follow my progress and see the video version of these updates in my Weekly Recap Playlist.
So far, only two parts have been uploaded. One is about the T-shaped Engineer plan, and the other covers the RAG pipeline topic, where I'm building it from scratch based on Hugging Face articles. It was fun, and I gained a lot of knowledge about how chatbots with RAG work.
The T-Shaped Strategy
My focus this year is built around becoming a T-shaped Engineer. As I discussed in my first video, I’ll be maintaining a broad knowledge base while diving deep into three core pillars:
Cloud Infrastructure: Building and scaling resilient systems.
AI Engineering: Implementing agentic workflows and LLM integration.
Software Engineering Depth: Mastering System Design as a holistic discipline.
Upgrading my Workflow with AI
I'm convinced that working with AI assistants is no longer optional, it's essential. To stay ahead, we need to be organized and quick. In the past, I only used a standard AI chatbot, which caused a lot of friction and made it hard for the AI to understand my problems. This was understandable since it wasn't designed specifically for coding. After trying these tools, I can say I work 50% faster and learn more. I'm currently refining my setup and plan to share my complete AI workflow soon in an article.
A big part of this has been experimenting with Model Context Protocol (MCP) and Token Management. Lately, I’ve been having a lot of fun using Antigravity, Google’s new AI-agent IDE. While it feels as familiar as VS Code, its ability to act as an agent within the coding process is a game-changer. Although, while writing Java at work, I usually use JetBrains IDE IntelliJ.
So next, I have a backlog of drafts I’m excited to finalize and share which is :
Performance Testing: Insights from my k6 presentations.
The T3 Stack: My experience developing a Full-Stack Node application for my Final Year Project.
Anyway, thank you so much for tuning in. I’m excited to keep going and see the best version of what discipline and consistency can do for humans. 2026 LFG.