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AI Agent Development Splits into Prompt, Context, and Harness Engineering

The job of building AI agents is evolving beyond simple prompt engineering. It now encompasses three distinct disciplines: prompt engineering for shaping model behavior, context engineering for managing the information within the model's limited window, and harness engineering for building the surrounding software infrastructure. Confusing these roles can lead to costly mistakes, such as focusing on wording while ignoring data accuracy or safety protocols. AI

IMPACT Defines key disciplines for building reliable AI agents, moving beyond basic prompting to include data management and surrounding software infrastructure.

RANK_REASON This item is a commentary piece discussing the evolution of AI agent development practices.

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AI Agent Development Splits into Prompt, Context, and Harness Engineering

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  1. dev.to — MCP tag TIER_1 Nederlands(NL) · Divyansh ·

    Harness engineering vs prompt engineering vs context engineering

    <p>Teams shipping agents in production keep rediscovering the same lesson: clever prompts are not enough. The durable work splits three ways—how you ask, what the model sees, and the software that wraps the loop.</p> <h2> Three layers, one system </h2> <p>In 2023, "prompt enginee…