AI

AI is leverage for systems thinking—not a substitute for judgment.

How the belief evolved

The End of Prompt Engineering?
As models become more robust and developers transition to agentic workflows, the era of prompt hacking is ending. The future belongs to systems engineering.
MCP Will Become the USB-C of AI Applications
In the fragmented landscape of LLM integrations, the Model Context Protocol (MCP) is emerging as the unifying open standard that links models to data sources and tools.
Beyond Copilots: Why AI Agents Changed My Daily Workflow
Smarter autocomplete was only the beginning. The shift to autonomous terminal-based AI agents has changed how I build, debug, and ship software.
How I Build Products Alone with AI: From Idea to Launch
A practical process for using AI across research, planning, development, testing, and launch while keeping product judgment and responsibility human.
How to Trust AI-Generated Code: 8 Verification Rules for Solo Builders
Facing hidden mocks, duplicate components, and silent database drops while building AttractiveWebAI and Shopify apps. Here are 8 hands-on verification principles for AI coding.
Claude Code vs Cursor: A Builder's Deep Dive
Having spent months building real software with both, here is a detailed breakdown of terminal-native Claude Code versus IDE-native Cursor.