AI Across the CTO Decision Stack
Jun 14, 2026
AI is not a layer-seven tool — it's a force that changes the cost structure, failure modes, and governance requirements of all seven layers of the CTO Decision Stack at once. This post walks the stack layer by layer, tracing how a single tooling adoption decision leaves six other layers with open questions nobody asked.
ReadThe CTO Decision Stack
Jun 7, 2026
Most technical leadership failures are not failures of the wrong decision. They are failures of the wrong layer — the right question answered at the wrong altitude, by the wrong people, against the wrong criteria. The CTO Decision Stack maps seven distinct layers of decision-making, from corporate strategy to developer productivity, and shows why conflating them is how organizations accumulate consequences they cannot trace back to a cause.
ReadTech Stack Selection in the Age of AI Agents
May 27, 2026
AI-assisted development changes stack selection in a fundamental way: the stack is no longer just a decision about runtime characteristics or team familiarity. It is also a decision about how much leverage AI tooling can provide. The architectural disciplines established at prototype stage determine whether future migration becomes incremental or catastrophic.
ReadFrom Project to Product to Company — What the Transition Actually Requires
May 16, 2026
Most final year projects successfully prove something can be built. The harder questions — will someone use this repeatedly, and can it survive when conditions change — are what the next step requires. This post maps the transition from project to product to company: what it takes to find the hidden need, build the feedback loop, understand the landscape, and bring something real to the world.
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