ChannelPulse
The people, the skills that are hired for, and the numbers that matter
When agents do most of the typing, what makes someone valuable changes, and so does what interviewers look for. This lesson covers the modes of work people now span, the hiring signals behind the new rounds, the metrics that show whether the loop is healthy, and the open problems worth naming in a senior answer.
What you'll be able to do
- Describe five modes of engineering work and place your own experience in two of them
- Name the hiring signals AI-native teams screen for and show each one in a story
- Choose metrics that measure the health of the delivery loop, not just AI adoption
- Name the unsolved problems honestly, and turn the whole module into answers for your role
Before this: upkeep-and-feedback-loops, engineering-managers
Log in to read the rest of this lesson
When agents do most of the typing, what makes someone valuable changes, and so does what interviewers look for. This lesson covers the modes of work people now span, the hiring signals behind the new rounds, the metrics that show whether the loop is healthy, and the open problems worth naming in a senior answer. This walkthrough runs about 14 minutes, with runnable code you can edit and re-run as you read. A new account gets 7 days of Pro free, no card required.
Log in to continueThe first module of every track is free to read on the web: see what's open in AI interviews.