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Rick Giner

The book draws on reasoning patterns explored in AI research, but its focus is human judgment, including decisions that involve no AI at all. Giner examines different ways to structure thinking: making intermediate steps explicit, exploring alternative paths, deliberately changing perspectives, and testing ideas against evidence. The point is to choose an approach that fits the problem rather than treat every decision as the same kind of exercise.

Consider a hypothetical service rewrite. Before comparing frameworks, a team might need to unpack the claim that the existing system is “holding us back.” Is the problem deployment risk, slow feature delivery, maintenance cost, or something else? Exploring alternatives is useful only after the team agrees on what those alternatives need to achieve.

Importantly, the book doesn’t argue for making every decision more elaborate. Its principle of the “smallest sufficient architecture” is about using enough structure to reason well without adding unnecessary process. A straightforward question may need a straightforward answer; an uncertain, consequential decision may need more exploration or evidence.

It also looks beyond techniques to the conditions in which decisions happen. Attention, status, time pressure, and evidence quality can undermine even a carefully structured discussion. Clear reasoning needs an environment where people can question assumptions, not merely a template that asks them to.

That leaves an interesting question for developers: if someone reviewed the reasoning behind your last major technical decision, rather than just the outcome, what would they be able to see—and what would still be trapped in people’s heads?

• Full details: The Architecture of Reasoning - Rick Giner

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