You've learned a lot about GenAI. But there's a problem - many developers talk about GenAI using wrong terms or outdated ideas!
Using the right vocabulary helps you sound professional and avoid embarrassing mistakes in code reviews and development meetings.
Engagement Message
What GenAI terms have confused you the most in your development work?
Here's a big misconception: "GenAI for coding was just invented recently." Wrong! AI-assisted programming has been developing since the 1950s.
What we're seeing now is the result of decades of research finally coming together with enough code data and computing power for practical development tools.
Engagement Message
When did you first use AI to help with your coding?
Another dangerous myth: "GenAI understands code like experienced developers do." This leads to major development mistakes!
Current GenAI doesn't have true code comprehension or programming intuition. It's sophisticated pattern matching - finding and reproducing patterns from massive codebases.
Engagement Message
Have you ever caught yourself saying the AI "knows" or "understands" your code architecture?
The accuracy trap: "GenAI-generated code always works correctly." This misconception can break production systems!
AI can "hallucinate" code - confidently provide syntactically correct but functionally wrong solutions. Always test and review AI-generated code thoroughly!
Engagement Message
What would happen if you deployed AI-generated code without proper testing?
"Bigger GenAI models write better code." Not true! Sometimes smaller, specialized coding models outperform giants.
A focused AI trained on your programming language might beat GPT-4 for your specific development needs - and run faster too!
Engagement Message
When you use coding AI do you always choose the most powerful model available?
