The Real AI Skill After 30 Years
After 30 years of coding, I finally figured out the real AI skill that matters: breaking problems into pieces AI can handle, not chasing the latest tools or models.
Why Do Most AI Projects Fail Miserably?
After 30 years of coding, I learned the secret to AI success: treat agents like a specialized team, not magic wands. Break problems down, write clear prompts, give them tools.
Why AI Teams Beat Solo Agents Every Time
30 years of coding taught me: one AI agent is useful, but a team of specialists working together changes everything. Most people miss this completely.
AI Teammates Beat Search Engine Developers
Developers treating AI like a teammate instead of a search engine are pulling ahead. The gap isn’t about better models—it’s about learning to delegate effectively through skills like prompt engineering, modularization, and workflow integration.
LLM Choice Matters Less Than Prompt Engineering
After 30+ years coding and 8 years in AI, I’ve learned everyone focuses on which LLM is best, but misses what really matters: knowing how to talk to it properly.
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