Generation of Generation: The Reverse Engineering of LLM Mastery
Large language models have an essential characteristic: they can say everything, so
When AI Starts Writing Code, Humans Start Reading Code
Max Kanat-Alexander, a Developer Experience expert at Capital One, said something in
A Money-Losing Vending Machine and the Future of AI Economics It Reveals
Last week, Anthropic released a video documenting their experiment of having Claude
When Models Absorb Uncertainty: The Economic Inevitability of AI Agents Replacing Human Labor
Enterprise decision-makers face a choice. On one side of the scale sits
When We Design AI Agents, What Kind of "Self" Are We Designing?
When engineers design AI Agents, they encounter what appears to be a
Logic Granularity: A Founder’s Blueprint for Reliable Vibe-Coding Workflows
How to orchestrate AI agents, freeze complexity, and ship faster than teams
Navigating Incremental vs. Existing Markets in Generative AI: Balancing Product Vision and Practicality
Generative AI has opened new frontiers for indie hackers and startup leaders
The LLM API War: Strategy, Open Source Advantage, and the Path to Scale
The landscape of large language models (LLMs) has evolved rapidly, with multiple
Building Taiwan’s Next AI Frontier—A Pragmatic Approach to DeepSeek R1 and Beyond
If there’s one thing I learned from growing up in Taiwan
Navigating Market-Product Fit, Pricing Tiers, and Emerging AI Trends: Lessons from Brian Balfour, OpenAI, and Pictotales
In the indie hacker world, we often emphasize building in public—openly
PictoTales Series 3: My Journey Adapting to Modern Tech Stacks and AI-Driven Development
Welcome to my indie hacker blog series where I share the ups
Riding the AI Wave, Part 2: How Organization, People, and Culture Empower Solo Indie Hackers
In our last post, we explored Dr. Li Ji Ren’s 5C