⚙️ The 15-Second Coding Test That Filters Out Half of Unqualified Developers
A smart look at how tiny, well-crafted challenges can expose true coding intuition in an era dominated by AI assistance and copy-paste development.
A former CTO explains a quick 15-second coding challenge used to weed out unqualified developer candidates. The test presents a short snippet containing a subtle syntax trick, rewarding those who reason through code rather than simply running it. Used at MonetizeMore, it cut hiring time in half and revealed insightful candidate behaviors. Though not foolproof, it proved highly efficient for remote hiring.
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🦀 Thirteen Years of Rust and the Birth of Rue
A reflective, forward-looking essay linking Rust’s legacy to new explorations in language design—showing how experienced developers and AI can collaborate to advance creativity.
Steve Klabnik, a long-time Rust contributor, looks back on thirteen years with the language and introduces Rue—his experimental hobby project exploring solo language design. Drawing on his experience with Ruby and Rust, he examines whether AI tools like Claude can make independent compiler work practical. Rue remains early-stage, but Klabnik sees it as a creative experiment and a statement of optimism about programming’s future with AI.
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🚇 Coding on the Subway
An inspiring reminder that meaningful technical work can happen anywhere—even underground—when curiosity and focus meet constraint.
The author recounts writing code on New York City subways, using commute time to develop m68k assembly side projects. Without internet access or distractions, focus deepens and reasoning improves—even if real-time testing isn’t possible. Despite the chaos of public transit, the experience fosters discipline, creativity, and unexpected social interactions.
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🪵 Logging Sucks — Your Logs Are Lying to You
A sharp, technically rich critique that redefines how engineers should think about logs—moving from noisy text to context-driven observability.
This piece argues that traditional logging, built for monolithic apps, fails in distributed systems. Plain text logs lack context, making debugging ineffective. The author proposes ‘wide events’—structured log entries that capture full contextual data per request—for more actionable observability. The article demystifies structured logging and OpenTelemetry, stressing intentional instrumentation and tail sampling for scalable insight.
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