"AI agents handle much of that groundwork, allowing engineers to focus on higher-level decisions. Habib spends 20 to 30 hours a week interacting with five AI agents. Snowflake has built agents to review product design or to help on-call engineers to help during an outage or an incident, among other uses."
"Unlike chatbots, which respond to prompts, AI agents can adapt to changing contexts such as business goals and draw on reference tools including calendars, meeting transcripts and internal databases, to complete work with limited human oversight."
"One agent might generate code, for example, while another reviews it for errors and fixes bugs before a human signs off on the final version. These agent-to-agent workflows can help companies scale faster."
AI agents are transforming workplace structures across the US and Canada by automating routine tasks and enabling employees to focus on complex work. At Snowflake, engineers previously spent time on routine activities like monitoring dashboards and gathering data; AI agents now handle this groundwork. Qaiser Habib, Snowflake's Toronto-based head of Canada engineering, spends 20-30 hours weekly with five AI agents. Unlike chatbots, AI agents can plan, reason, and execute multistep tasks while adapting to changing contexts using tools like calendars and databases. The technology is evolving beyond task completion to include task assignment and agent-to-agent workflows, where one agent generates code while another reviews and fixes errors before human approval.
Read at www.aljazeera.com
Unable to calculate read time
Collection
[
|
...
]