This article discuss how the original Agile Manifesto anticipated the rise of AI — and why both AI maximalists and AI luddites misunderstand its true message.
An intuitive explanation, along with some real-world applications of this forgotten 1980s technique for turning static data structures into dynamic ones.
Agile teams thrive on speed. Time-boxed decisions apply bounded rationality to avoid analysis paralysis, reduce decision fatigue, and deliver value faster.
We explore why product professionals risk sleepwalking into strategic irrelevance by over-trusting AI, relying on flawed metrics, and losing direct customer insight.
Learn how one-week sprints with vibe coding boost Agile success by enabling faster delivery, reducing AI errors, and improving collaboration across teams.
It's all about AI transformation déjà vu: This article provides a look into why today’s failures look uncannily like yesterday’s “Agile transformations.”
This article cites some trends on Scrum and AI usage and provides details on how AI tools can help automate Scrum ceremonies without impacting human values.
Feeding AI relevant, structured context turns generic advice into targeted, high-impact solutions. See in this article how context quality shapes results.
Behavior-Driven Development (BDD) bridges the gap between technical and non-technical stakeholders by using plain-language scenarios to define and test software behavior.
Resolve cloud incidents faster with the AI Incident Investigator — an agent that finds the root cause of production issues and explains them in plain English.
Can ChatGPT’s Agent Mode really handle agile team tasks? I tested real use cases to see what it can do, what it misses, and where it needs improvement.