Ben Redmond - AI Coding & Product Building · Dec 13, 2025
One Agent Isn't Enough
0Sign in to vote or save
This site does not allow itself to be embedded. You can still read it on the original site — the toolbar below keeps your place in the directory.
Agentic coding has a problem - variance. What if single-agent runs are leaving performance on the table by design? Due to the stochastic nature of LLMs, each agent run has slight variations. Even with the same context, one session might land near the peak, another somewhere in the middle.
Comments
Nothing yet. Say the first thing.
Sign in to join the conversation.