AI Engineering Skills for the Agentic Era
Essential guide to the skills behind modern AI engineering

TL;DR
- The new AI gap is between those who can make AI finish real work and those who still prompt step-by-step.
- Learning to cross this gap involves a small group of interconnected skills, not just a long list of prompts.
- Future AI will understand personal workflows, search for information, use tools, remember decisions, and check its own output.
- Key skills involve understanding how prompts, context, skills, agents, memory, workflows, APIs, and evaluations fit together.
- Knowing the entire 'stack' helps in managing costs, picking the right models, and building continuously improving AI setups.