Agentic engineering, as described by Matthew Brunelle, encompasses a broad range of practices that are fundamental to effective software development, rather than being a novel concept. Brunelle argues that many of the principles associated with agentic engineering, such as robust testing, clear documentation, and modular design, are already established best practices. The core idea is that these practices, when applied to AI systems, lead to more reliable and maintainable outcomes. AI
IMPACT Re-frames agentic engineering as existing best practices, potentially simplifying adoption for developers.
RANK_REASON Opinion piece by a named credible voice discussing AI concepts.
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