AI agents that code: can a team of agents replace the development process?

For a while, using AI in software development meant autocompleting lines of code while a person did the programming. The question now is different: can a team of AI agents take charge of writing, reviewing and testing code end to end, with human oversight only at key points?

From completing code to building it end to end

The difference goes beyond speed. An agent that only autocompletes needs a person to make every design decision. A team of agents designed to work end to end can take a task, solve it, review what it did and test it, much as a human development team working together would.

How is a team of agents organized?

The key is agents organized into roles: one that thinks before acting, another that reviews what was built, another that tests it before delivery. ArgenTor, Xcapit's framework for this, works that way: a team of agents organized into roles, like a real development team, with review at every stage of what it builds.

Why does security have to be there from the design stage?

When an agent writes the code, the question of who reviews that code's security becomes even more urgent. That is why this kind of framework treats security as part of the original design, built in from the first step.

How autonomous can this process be today?

Full autonomy still coexists with human review at the points each team defines as critical to its operation. The useful question today is which part of the process makes sense to delegate first, and which to keep under direct supervision.

How autonomous is the code review process on your team today, and which part of it would you be willing to delegate first?