An AI agent can now read a repository, modify code, run tests, prepare a release, update a ticket,...
An AI agent can now read a repository, modify code, run tests, prepare a release, update a ticket, and explain what it did.
That is already enough intelligence to complete a surprising amount of useful work.
Yet many companies still stop at the same boundary:
We are willing to let the agent assist. We are not yet willing to let it own the task.
The usual explanation is that the model needs to become more accurate. Sometimes that is true. But accuracy is no longer the whole problem.
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Agentic AI's challenge is getting agents to act like a team, not a crowd - SiliconANGLE
