I've been preparing a talk about AI-assisted development and spent a lot of time reading what developers are saying online, in meetups, in conference hallways. A pattern keeps showing up: most developers either reject AI entirely or use it without much intention. Very few are in between. The first group is choosing obsolescence. The second

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Agentic Engineering is proposed as a deliberate middle ground between rejecting AI entirely and blindly vibecoding. The author argues that developers must adopt AI tools or risk being outpaced, but that using them well requires planning, incremental steps, guardrails (linters, tests, git hooks, context files like CLAUDE.md), and deep technical fundamentals. The agent is framed as the driver in a pair-programming model, with the developer as the navigator making all meaningful decisions. Deep knowledge of systems, architecture, and product context becomes more valuable, not less, in this paradigm.

Agentic Engineering Is Just Good Engineering (With a Better Driver)

<p>I’m so glad we’re starting to see the forest for the trees: fundamentals never go out of style. These tools have elevated our outputs and basically allow us to “punch above our weight class”, yet everything that made great engineering great…still very much applies. The flip side to that is everything that went into good debugging is still very important, too. I’m hoping to <a href="https://confident-coding.com/" target="_blank" rel="noopener nofollow">help a new generation of developers hone these skills</a> which used to come from grinding away at problems, but now has shifted since GenAI tools can do some of that heavy lifting.</p>
