Lunch Break Session: How to Assess AI Fluency

About

AI is changing how developers work. It’s changing how hiring teams evaluate talent.

Candidates are using AI to write, debug, explain, and optimize code.

In fact, CoderPad’s 2026 State of Tech Hiring report found that 82% of developers find GenAI useful, and 54% say their productivity would drop if AI tools were removed tomorrow.

The question for hiring teams is no longer:

“Should candidates use AI?”

It’s:

“Can they use AI well?”

As AI becomes part of everyday engineering work, traditional technical interviews are no longer enough to evaluate how candidates actually solve problems.

Join CoderPad for a practical Lunch Break Session on how to assess AI fluency in technical interviews and identify candidates who can effectively use AI while demonstrating strong engineering judgment, reasoning, and problem-solving skills.

CoderPad has powered more than 4 million technical interviews, is trusted by 4,000+ companies including Meta, OpenAI, Spotify, LinkedIn, Goldman Sachs, Shopify, and Snowflake, and has helped teams conduct more than 50,000 AI interviews.

This isn’t another webinar about AI trends.

You’ll leave with practical frameworks and tactical interviewing techniques you can immediately apply to your technical hiring process.

What You’ll Learn

✅ What AI fluency actually means in technical roles
Learn the skills and behaviors that distinguish engineers who effectively leverage AI from those who simply know how to generate code.

✅ What good AI usage looks like during a coding interview
Understand how strong candidates use AI to accelerate problem solving while maintaining ownership, judgment, and technical rigor.

✅ How to evaluate AI fluency during technical interviews
Discover what interviewers should observe, ask, and score when AI tools are available.

✅ How to assess judgment, debugging, validation, and reasoning
Learn how to differentiate between candidates who rely on AI outputs and candidates who can effectively validate, improve, and apply them.

✅ How to build a stronger AI interviewing process
Get practical tips for incorporating AI-enabled workflows into your hiring process without sacrificing assessment quality.

Why Attend?

By the end of this session, you’ll have:

• A clear framework for evaluating AI fluency in technical candidates
• Practical guidance on observing candidate behavior in AI-enabled interviews
• Tactical interview questions and evaluation criteria you can use immediately
• Greater confidence in distinguishing AI-assisted productivity from true engineering ability
• A preview of how AI fluency assessment frameworks may extend beyond technical roles

Everyone says they can use AI.

Learn how to identify the candidates who can prove it.