The modern learning ecosystem framework
Explore the Modern Learning Ecosystem Framework to enhance workplace learning, making support accessible anytime, anywhere for all organizations.
The article discusses the Modern Learning Ecosystem (MLE) Framework, a practical approach to workplace learning that emphasizes making learning and support available when and where people need it. The framework is technology, industry, and budget agnostic and can be applied by any organization. The article also provides recommended readings, downloads, and presentations related to the MLE Framework. The author, JD Dillon, is a veteran talent development leader and author of the book “The Modern Learning Ecosystem: A New L&D Mindset for the Ever-changing Workplace.”
Original article: Modern Learning Ecosystem Framework
Why customer tools are organized wrong
This article reveals a fundamental flaw in how customer support tools are designed—organizing by interaction type instead of by customer—and explains why this fragmentation wastes time and obscures the full picture you need to help users effectively.
Infrastructure shapes thought
The tools you build determine what kinds of thinking become possible. On infrastructure, friction, and building deliberately for thought rather than just throughput.
Server-side dashboard architecture: Why moving data fetching off the browser changes everything
How choosing server-side rendering solved security, CORS, and credential management problems I didn't know I had.
The work of being available now
A book on AI, judgment, and staying human at work.
The practice of work in progress
Practical essays on how work actually gets done.
Dev reflection - February 20, 2026
I want to talk about the difference between execution and verification. Because something happened this week that made the distinction painfully clear, and I think it matters far beyond software.
Dev reflection - February 18, 2026
There's a moment in any system—a team, a company, a workflow—where the thing you've been optimizing for stops being the constraint. And you don't notice right away. You keep pushing on the old bott...
Dev reflection - February 17, 2026
I want to talk about staging areas. Not the technical kind—the human kind. The places where work goes to sit. The inbox you check before forwarding. The draft folder. The approval queue. The meetin...
The IMF warns about AI’s impact on inequality
IMF warns AI could deepen global inequality, urging policymakers to implement safety nets and retraining programs to protect vulnerable workers.
Discover how generative AI is more likely to augment jobs rather than replace them, transforming tasks and creating new opportunities for efficiency and innovation.
Explore how generative AI enhances jobs by automating tasks, fostering efficiency, and creating new opportunities instead of replacing human roles.
Atlassians choose where they work, every single day. Download our free report to see what we’ve learned as a result.
Explore Atlassian's insights on flexible work policies and employee satisfaction. Download the free report to learn from their distributed work experience.