Chuck D’Antonio has been building things for thirty years—software first, then teams and organizations, now both at once. He started as a developer at Harvard in 1995, spent a decade as an IC and technical lead, and eventually crossed into leadership because someone had to. He still introduces himself as a software engineer at parties.
That transition taught him something he has spent most of his career proving: management is programming with worse error messages. Building strong systems and high-performing teams takes the same things good engineering does. You need clear mental models, tight feedback loops, and a bias toward automation. He has applied that idea in different kinds of environments: building professional services from zero at Acquia, growing a fifty-person engineering organization across three continents at State Street, and rebuilding solutions engineering into a tighter commercial system at Replicated. When he stepped into sales leadership there, he also began building and managing agentic employees alongside the human team — work that became part of the foundation for Shortrib Labs. The playbook stayed the same: instrument the system, automate what you can, fix the parts that need humans, and ship.
Agentic AI changed the tradeoff. For most of his career, staying close to the craft meant giving up organizational scope. You picked a lane and stayed in it. That trade is gone. Shortrib Labs is his experiment in what becomes possible when a leader can build again, and his consulting is for technically inclined leaders trying to run the same experiment inside their own organizations.
Outside work, he is married to Angela, father to Lila and Charles, stepfather to Carson, and staff to a beagle and a basset hound of considerable dramatic conviction. He trains for open water swimming and cooks most of the family meals. He takes his cocktail craft seriously enough to have opinions about shrubs. His Kindle stocks literary fiction about marriages going wrong, crime novels about desperate people making bad choices, and technical books about DevOps—which, if you think about it, are also about desperate people making bad choices.