The article argues that distributed systems theory (Amdahl's Law, CAP theorem, FLP impossibility) directly applies to AI agent coordination, proving that simply adding more agents cannot overcome fundamental mathematical limits on scalability. The solution is better system decomposition and reduced coupling, not raw agent count.
The author reflects on how coding agents have transformed software engineering productivity, shifting bottlenecks from implementation time to judgment and design decisions. He argues that judgment—supported by curated expert skills and best practices—will become the critical constraint in building secure, maintainable, and reliable software.
This article examines NASA's software architecture principles for space missions, emphasizing how redundancy, fault-recovery mechanisms, and extensive testing enable spacecraft to survive hardware failures and operate autonomously millions of miles from Earth. Real historical examples (Voyager 2, Apollo 11, Opportunity, Curiosity) demonstrate how recovery-oriented design and the ability to remotely update software have extended mission lifespans and prevented mission failures.