3 ms·

> engineers that really know how to use this stuff effectively I guess this is still the "caveat" that can keep the hype hopes going. But I've found at a team

> engineers that really know how to use this stuff effectively I guess this is still the "caveat" that can keep the hype hopes going. But I've found at a team velocity level, with our teams, where everyone is actively using agentic coding like Claude Code on the daily, we actually didn't see an increase in team velocity yet. I'm curious to hear anecdotal from other teams, has your team seen velocity increase since it adopted agentic AI?

jan_g 1y ago
Same here. I have a colleague that is completely enamored with these agents. Uses them for everything he can, not just coding. Commit messages, opening PRs, Linear tickets, etc. Basically, he uses agents for everything he can. But the productivity gain is just not there. He's about as fast or rather as slow as he was before. And to a degree I think this goes for the whole team. It's the oxymoron of AI: more code, more documentation, more text, more of everything generated than ever, but the effect is that this means more complexity, more PRs to review, more bugs, more stuff to know and understand, ... We are all still learning how to use these agents effectively. And the particular developer's effect can and does multiply as everything else with GenAI. Was he a bit sloppy before, not covering various edge-cases and used quick-and-dirty shortcuts? Then this remains true for the code he produces using agents. And to those, who claim that "by using more agents I will gain 10x productivity" I say please read a certain book about how just adding developers to a project makes it even more delayed. The resemblance of team/project leadership -> developers dynamic is truly uncanny.