Engineering Culture

Senior engineering interviews still revolve around whiteboard puzzles that the job never asks for, and AI has now made the puzzle worthless as a signal. A hiring manager who also builds recruiting software and recently sat on the candidate side lays out the case for work-sample loops that mirror the actual role, and a concrete protocol for running them.

In a recent interview, a candidate for a senior frontend role was interrogated for forty-five minutes on backend sync-versus-async architecture by a director who never asked about the frontend. A passive audit of the company's own web property afterwards revealed the entire frontend source code was being served as a public download, thirteen dangling subdomains, no login rate limiting, and mobile LCP at three times the "Poor" threshold.

AI coding assistants are fundamentally breaking traditional engineering productivity metrics. Individual output measurements become meaningless when AI can generate thousands of lines per hour. Explore why the 10x engineer concept is dying, what replaces it, and how engineering culture must adapt to survive the transition to AI-augmented development teams.

Strategic open source contributions in 2026 drive engineering excellence, talent acquisition, and competitive advantage. Learn how organizations and individuals leverage OSS for measurable business outcomes.