Agile
fromdzone.com
22 hours agoRethinking Risk in Agile Software Development
Agile must integrate risk management into workflows to avoid hidden risks and instability in complex software systems.
I see this daily in veterinary medicine, where high burnout rates cost the sector upwards of $2 billion per year. It's a challenging environment with long hours, stressful workloads and patients that can't even tell you what's wrong. But I've found that the best way to boost performance and even increase capacity with maxed-out teams is to address the underlying operational issues.
Well, our guest today argues that the best way is by moving to a more project-driven model of work, up and down the organization from the corporate level to individual teams. He wants us to both ruthlessly prioritize as well as stay fluid so that we're identifying strategic goals, assembling teams to go after them, evaluating as we go, and then either continuing, shifting, or disbanding based on our outcomes.
Why does everyone feel overwhelmed by information? Why does it feel impossible to trust what passes through our streams? We tend to blame individual publications, specific platforms, or bad actors. The real answer has less to do with any single media entity and more with structural changes in the information ecosystem. I started my "information" life typing copy on an ill-tempered Remington.
My daughter, Ivy, recently joined a swim club. As a former competitive swimmer, it's been a delight to witness. Every time I take her to practice, I feel a wave of nostalgia that reminds me of all the many years I spent in the pool and all the many teammates I collected along the way. It excites me to think that she, too, will have her own experiences and life lessons, just as swimming taught me.
One of the challenges teams face when working with large boards or displaying multiple fields on work item cards is limited screen space. This became even more noticeable with the rollout of the New Boards hub, which introduced additional spacing and padding for improved readability. While this enhances clarity, it can also reduce the number of cards visible at once.
Your AI pilot showed 94% accuracy improvements. The LLM is yielding solid results. You're getting defunded anyway. The reason? You solved a problem AI can solve. Your budget-holder needed you to solve theirs. Companies launch AI pilots that produce results, then stall at scale. The team's diagnosis: "They don't get it." What's really going on: These projects never earned budget-holder buy-in.