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Evolution from Prompt Engineering → Context Engineering → Agent Engineering

Insight: InventorBlack identifies three eras of AI interaction: Prompt Engineering (individual prompts) → Context Engineering (CLAUDE.md files, optimized context) → Agent Engineering (specialized, reusable, portable agent definitions). Each stage expanded what practitioners can share: from prompts, to context configurations, to complete agent definitions that work across projects. The "Agent-First Design" paradigm goes further: engineering entire products — architecture, features, business models — with AI agents as first-class participants in creation, iteration, and scaling.

Detail: Human-first design optimizes for readability and team productivity. Agent-first design adds optimization for what AI agents can rapidly generate, extend, and personalize at scale. Software architecture becomes enabling infrastructure for agents to understand, modify, and scale the product efficiently.

Sources

Related: existing entry "context engineering spectrum" in knowledge/ai-assisted-design/context-engineering.md — SUPERSEDES