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User Insights

What real builders taught us — patterns, surprises, and the gaps we found watching people learn to ship.

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How You Describe Bugs to AI Predicts Your Learning Stage

The way you frame an error when asking AI for help reveals more about your coding stage than almost anything else. Here's what Codepet's data shows.

July 25, 20266 min read

User Insights

How to User-Test an AI Feature Before You Ship

Testing an AI feature isn't like testing a button. Here's a practical guide to user research that tells you whether your LLM feature actually works for real people.

July 21, 20267 min read

User Insights

How You Describe Bugs to AI Predicts Your Learning Stage

How to User-Test an AI Feature Before You Ship

Why AI Feature Adoption Stalls After Week One

How vs Why: The AI Question Pattern That Predicts Your Coding Progress

The First Session Problem: What New Users Taught Us

The Aha Moment: When AI-Assisted Coding Finally Clicks

How to Use AI to Turn User Feedback Into Product Decisions

What Happens When You Actually Ship: The First-Time Builder Experience

Comprehension Debt: The Hidden Cost of Coding With AI

How to Debug Code with AI: What Works, What Doesn't, and Why

AI as a Crutch vs. AI as a Coach: The Habit That Builds Real Skills

Why New Builders Hit a Wall — and How the Best Ones Push Through

Ask AI to Review Your Code, Not Write It

What 500 Beginners Taught Us About Learning to Code with AI