Thoughts, tutorials, and stories
How I turned two years of journals into a second brain with Markdown, Obsidian and AI, no RAG needed: the architecture, the process, the results, one surprising number.
A personal story from an IT worker who spends 8 hours at the office and 3 hours on the road, and how managing energy (not time) is the key to avoiding lifelong procrastination and stagnation.
Generative AI can automate most repetitive tasks; one person who can design processes and orchestrate AI can deliver the output of an entire team. A compact view of past, present, future, and how to run a virtual department on AI.
When no mentor is around, you can still grow fast by learning independently, asking better questions, and building discipline every day.
AI commodifies results. But it doesn't commodify the process of becoming a better human being. That's the real value of learning.
The idea of building a personal blog sat in my head for over a year. Last night at midnight, I decided to let AI do 95% of the work. Two hours later, the blog was live.
A quick introduction to this blog, the topics I cover, and what readers can expect from future posts about programming, AI, and personal growth.
A practical guide to writing blog posts with Markdown and MDX in Astro, including frontmatter, structure, code blocks, and common mistakes to avoid.
A practical reflection on how I started learning programming, the mistakes I made early, and five lessons that matter most for beginners.
Programming articles about building projects, technical writing, and practical software learning.
Lifestyle writing about energy management, work rhythms, and building a sustainable way of living.
Personal essays about career direction, self-navigation, and the way ideas change over time.
AI workflows, automation, and how AI changes building, learning, and work.
Career growth, self-navigation, discipline, and learning how to operate without waiting.
Programming practice, writing technical content, and building useful projects.
Learning systems, learning curves, self-study, and how to improve with depth.