Library 2 articles

Articles

Structured explanations of models, algorithms, systems and engineering decisions.

What Remains for the Engineer When AI Writes Code, Queries, and Technical Texts

AI automates the production of many technical artifacts, but it does not take over the engineering function as a whole. The engineer still defines the goal and requirements, chooses the computational mechanism, specifies admissible states and constraints, evaluates the consequences of failure, assembles evidence of correctness, and is accountable for integration and operation. The delegation boundary does not run between “simple” and “complex” tasks, but between results that can be independently verified and safely rolled back, and decisions where an error is hard to observe, spreads widely, or is expensive.

2026.09.20

How a Technical Specialist Should Allocate Learning and Responsibility Among Fundamental Knowledge, Subject-Matter Specialization, Programming, and AI

Study deeply what is necessary to formulate a task correctly, notice a hidden error, and assess the consequences of a decision. It is reasonable to delegate reversible and independently verifiable operations to programming and AI, but not the choice of goal, acceptable risk, acceptance criteria, or the final decision. This article offers a practical framework for determining the depth of knowledge, the boundaries of delegation, and the owners of responsibility.

2026.09.20