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Every codebase collects a trail of small tasks, drift and maintenance work. It\u2019s the work you intend to get to eventually, or the work you don\u2019t notice until it slows you down. Imagine if your agent helped you carry that load without being asked to, every time. We are betting on proactive agents, ones that can carry that load for you. They surface meaningful tasks, prepare fixes you didn\u2019t explicitly ask for and keep the system healthy in the background while you stay focused on building.<\/p>\n
Today\u2019s updates to Jules support your development lifecycle in this more sustained, intelligent and proactive way. This shift isn\u2019t about replacing reactive features, though \u2014 it builds on them. Prompting remains how you steer. Proactivity is how Jules becomes a partner that thinks ahead.<\/p>\n
We\u2019ve seen the impact of this firsthand with the team building Stitch, Google\u2019s AI design agent. They configured a “pod” of daily Jules agents using scheduled tasks, each assigned a specific role \u2014 ranging from performance tuning and security patching to accessibility improvements and increasing test coverage. This background work has made Jules one of the largest contributors to the Stitch repository, allowing the human team to focus entirely on complex feature work and creative problem solving.<\/p>\n
Starting today, Google AI Pro and Ultra subscribers can enable Suggested Tasks on up to five repositories. This experimental feature continuously scans your code to propose improvements \u2014 starting with #todos comments \u2014 that you can review, approve or dismiss. We\u2019ll be adding more use cases and higher limits soon.<\/p>\n
Some work is predictable, like dependency checks or weekly housekeeping. With Scheduled Tasks, you can now define the cadence and Jules will perform the task at that time to help lower the cost of staying current, while keeping you in the flow.<\/p>\n<\/div>\n