
The End of the 10x Engineer? Using Engineering in the Age of AI
Outstanding engineers are still important. The difference lies in the multiplier of the engineer – and how wrong our measures are in placing it.
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Browse published analysis from ExpertStack authors and reviewers.

Outstanding engineers are still important. The difference lies in the multiplier of the engineer – and how wrong our measures are in placing it.

The newest SwiftUI release isn't just about convenience APIs, it marks another step in Apple's long-term effort to make declarative UI suitable for professional, document-heavy, and performance-critical applications.

The metaphor is useful in exactly four places, and misleading everywhere else. Knowing which is which decides whether your agents are trustworthy.

A step-by-step guide on adding Agentican workflows to Quarkus applications using the Agentican framework, using YAML and annotations.

A thought experiment about friction, taste, and whether a machine can join a revolution.

FIFA has given every team the same AI agent. That is the beginning of the competition, not the end of it.

Should I quit my job? Should I get divorced? Should I move abroad? A growing number of people are typing these questions into a chat box - and getting an answer back.

They never tire, they never get busy, and they never disagree unless you ask them to. Maybe that's the problem.

This analysis draws on documented reporting of the 2026 NEET-UG re-examination fraud case, comparative examination integrity research, and published platform moderation data.

Shifting responsibility for memory, decisions, and even feelings to an algorithm can ease the burden. But it can also subtly weaken the muscles that allow us to carry it ourselves.

You can have all the technical prowess in the world, and it still won’t be enough. What really decides if an AI system gets put into production or is left to wither away as a pilot are four structural forces: how you govern it, your team’s design, the quality of the data and whether you have a true product-market fit.

Generative models have made visual perfection free. The evidence suggests that's a problem for beauty, not a triumph of it.