A practical reading of Eliyahu Goldratt's The Race, and why AI transformation should focus on bottlenecks, throughput, and flow instead of local productivity.
A practical explanation of agent loops, how they differ from single-pass LLM calls, and why the simple think-act-observe cycle powers useful AI agents.
Why the biggest AI opportunity in software engineering is not code generation, but a living model of the engineering organization that helps leaders make better decisions
A practical roadmap of the core engineering problems that must be solved before AI agents become reliable, scalable, secure, and economically useful systems.
A practical roadmap of the core engineering problems that must be solved before AI agents become reliable, scalable, secure, and economically useful systems.
