Category: Amazon Q

AI agents can’t work across teams because they lack the domain knowledge that exists only in developers’ minds (e.g., architectural patterns, business rules, design constraints). When agents make changes to another team’s code, they usually fail. Not because the agent lacks capability, but because it doesn’t know that team’s context. You could supervise the agent […]

Automate tedious tasks, gain faster insights through conversational analytics, and innovate using synthetic data – accelerating time-to-value from data assets.

“Productivity is being able to do things that you were never able to do before.” —anon With generative AI grabbing almost every organisation’s attention, watching how they use the technology is interesting. Today most AWS customers are focused on achieving productivity gains (e.g., making information easier to acquire and digest for customer service staff). A […]