From autocomplete to agency
Kairos convened a hands-on session with Cognition at SGInnovate around the future of software work. The premise was simple: coding agents had crossed from suggesting the next line into planning work, exploring real codebases, testing changes and producing pull requests for human review.
That shift changes the useful question: how should a team structure work when agents can carry more of the software lifecycle?
Engineering work, shown live
The evening put Cognition’s software-engineering tools into real workflows: fast model execution, deeper reasoning for messy issues, routing work across agents, and reviewing the growing volume of agent-generated changes.
A live format made the trade-offs visible. Speed, scope and autonomy matter alongside clear boundaries and the evidence a human needs before approving the work.
The software factory needs judgment
More generated code raises the bar for engineering judgment: specify the task well, choose the right level of capability and ground every review in evidence.
For Kairos, that is the enduring idea: use agents to expand what a team can execute while preserving clear ownership, inspection and control.