McKinsey's Martin Harrysson and Prakhar Dixit describe patterns they report seeing among enterprise clients adopting coding agentsAI adoption is the process by which people and organizations begin using AI systems as a sustained part of real products, decisions, and workflows.. They discuss shorter workflows, smaller teams, shared context and the organizational work needed to expand beyond pilots.
The speakers argue that teams should define review pointsHuman judgment in AI is the accountable interpretation and decision-making people contribute when setting goals, evaluating evidence, and managing consequences., make internal knowledge available to agents and select skills appropriate to their own contextAn AI agent skill is a reusable package of instructions, resources, and tool guidance for performing a bounded kind of work.. They describe quality review and governance as continuing needs as code generation speeds up.
The discussion considers how bottlenecks can shift from building and testing toward requirementsWorkflow automation uses software or AI to complete a connected sequence of routine steps with less manual effort., release and coordination with other teams. Martin Harrysson also discusses the difficulty of measuring whether the investment creates useful outcomes.
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