20 tasks, each one witnessed by the sources that watched the job — and behind every one, a prompt you can use tonight.
You usually split time between building new features and fixing live problems. Mornings often start with a stand-up meeting, task triage, and code reviews for errors or improvements.
Afternoons can be hands-on: writing code, running tests, deploying updates to EC2 or AWS CloudFormation templates, and monitoring performance post-deployment with logs. Evenings may include writing documentation or preparing status reports for the next day.
AI can speed up repetitive tasks: generate code snippets, suggest fixes during debugging, draft design specs, or summarize logs for monitoring. Use it to draft documentation or prepare reports.
But you must review everything AI produces. Validate logic, test code, and ensure security—especially before deploying to AWS services. Never trust AI for final decisions about system performance standards or access controls.