The industry converged on agentic engineering as the professional standard for AI-assisted development. Karpathy named it. Osmani wrote the guide. IBM published the definition. Willison drew the line between it and vibe coding. The practices they describe are correct. Specs before prompts. Humans own architecture. Test relentlessly. But practices live in behavior, and behavior degrades under pressure. Nothing in the model enforces the practice when the practitioner is tired, rushed, or outnumbered by deadlines. Agentic engineering covers three layers: intent, generation, evaluation. AgenticOps adds the three that turn a practice into a system: promotion, runtime governance, knowledge compression. Practice tells you what to do. Infrastructure ensures you actually do it.
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