Guess what - there is a new rubber-duck agent in Copilot CLI, and we are going to talk about it.
Rubber Duck Thursdays | Rubber-Duck Agent
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hi all
i dont understand but i still watching 🤣
ok tea time
from kashmir pakistan
it's 3:48PM
Specificity is key when using rubber duck for research to prevent bottlenecks that cause output delays then....
so the same can be reached if i pass output of model x to model y?
In what types of more specific processes can we have a more effective use of this agent?
I mean, I see people just jump on a random project on GitHub and get paid
Rubber-ducking has always been about externalizing reasoning—but once the “duck” becomes an agent, the question shifts from clarity → control. If the agent can influence execution (not just reflection), where does the commit boundary sit? Most setups improve reasoning quality but still treat governance as post-process—so you get cleaner trajectories that can still cross into irreversible action without in-band stop authority. Curious whether this is staying purely reflective, or if you’re thinking about: → admissibility before execution → explicit stop-authority at the boundary → and rollback conditions as part of the agent loop Otherwise the duck doesn’t just debug the system—it quietly becomes part of its execution path.