Productivity
fromMountaingoatsoftware
1 hour agoWhy Smart Teams Overcommit And How Leaders Make It Worse
Leaders should avoid pressuring teams into overcommitting, as teams often do this themselves due to their inherent optimism.
I got a degree from Douglas College in programming and business management. I understood the business side more and was better at that than at being a coder.
The problem was not the agents. Every individual agent performed well within its domain. The problem was the missing coordination infrastructure between them, what I now call the 'Event Spine' that enables agents to work as a system rather than a collection of individuals competing for the same resources.
Most of these companies start the journey from a functional standpoint, avoiding extra layers that may "divert users' attention", such as refined flows, potential edge cases, and, sometimes, proper visual design foundations and user experience. Here, the goal is to ship the product first to validate its value, then address other considerations.
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.
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.
"I've never felt this much behind as a programmer. The profession is being dramatically refactored as the bits contributed by the programmer are increasingly sparse and between. I have a sense that I could be 10X more powerful if I just properly string together what has become available over the last ~year and a failure to claim the boost feels decidedly like skill issue."