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Estimates are difficult for developers and product owners

Why "Everyone Dies" Gets AGI All Wrong

Should we revisit Extreme Programming in the age of AI?

Mob Programming

Evolution of Minimum Viable Product

Agile Was Never Your Problem

Ticket-Driven Development: The Fastest Way to Go Nowhere

Why Understanding Software Cycle Time Is Messy, Not Magic

Requirements change until they don't

Beyond Win Rates: How Spotify Quantifies Learning in Product Experiments

Spotify has introduced the Experiments with Learning (EwL) metric on top of its Confidence experimentation platform to measure how many tests deliver decision-ready insights, not just how many “win.” EwL captures both the quantity and quality of learning across product teams, helping them make faster, smarter product decisions at scale. The outcome must support one action: ship, abort, or iterate. By Olimpiu Pop

Demis Hassabis: calling today's chatbots “PhD intelligences” is nonsense. They can dazzle at a PhD level one moment and fail high school math the next. True AGI won't make trivial mistakes. It will reason, adapt, and learn continuously. We're still 5–10 years away.

Should we revisit Extreme Programming in the age of AI?

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Ticket-Driven Development: The Fastest Way to Go Nowhere

Resisting the Rush: Why Careful Planning Beats Quick Coding

What’s one time YAGNI didn’t apply—and you were glad you built it early?

We Interviewed 100 Eng Teams. The Problem With Modern Engineering Isn't Speed. It's Chaos.

Dual-wheel balance bot flaunts supreme agility, easily clears hurdles