When AI can answer almost anything, how do you know you're actually learning? Senior Staff Software Engineer Tommy Ryan and former ServiceNow intern Hannah Kuo share how they tackle hard problems, check AI's work, and know when to ask for help.

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With school back in session, hosts Jorden Shelton and Cynthia Mathenge sit down with Tommy and Hannah to talk about learning and building with AI, and where teammates and mentors still fit in. ServiceNow Insights host Bobby Brill opens and closes the episode.

In this episode:
• How a senior engineer reviews your solution: back it up like you're in court, and run a pre-mortem • Why "correct and complete" matters, and why AI years are dog years
• Using output styles to make AI explain, quiz, and mentor you
• Hannah's time-boxing rule for deciding when to keep going, use AI, or ask a teammate
• Tommy's half-day rule, and why a walk can beat another hour at the keyboard
• Rubber ducking, explained with help from Woody • Advice for students: stay curious, learn fast, and automate the boring stuff

Guests:
Tommy Ryan, Senior Staff Software Engineer, Developer Productivity, ServiceNow
Hannah Kuo, Software Engineer and former intern, ServiceNow

Hosts:
Jorden Shelton, Technical Program Manager, AI Engineering Delivery, ServiceNow
Cynthia Mathenge, Business Operations Manager, Engineering, ServiceNow

Chapters:
0:00 Intro
1:32 Welcome to Engineering NOW Unlocked
2:22 Meet Tommy Ryan and Hannah Kuo
3:06 What Hannah wishes she knew before her internship
3:38 How a senior engineer reviews your solution
4:40 Checking AI's work: correct and complete
5:43 Make AI teach you with output styles
6:46 Breaking down a hard problem
9:11 Architecture isn't set in stone
10:17 Time-boxing: when to ask for help
11:32 The half-day rule and stepping away
12:42 Making it safe to ask questions 13:36 Imposter syndrome and work sessions
15:16 What is rubber ducking?
16:09 Rapid fire
18:18 Advice for students
20:10 Wrap-up

Pick one idea from this episode, try it this week!
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