Executive Summary
- AI is being used to write better code, but at a slower pace.
- Developers are using AI to review and iterate on code, resulting in higher quality code.
- The process of using AI to write code is still evolving and has its limitations.
The Buzz Score
The Internet’s Verdict: 70% Hyped, 30% Skeptical
Developer Insights
Developers are finding that using AI to write code is a complex process that requires multiple iterations and reviews.
I’ve hit this point with AI where it’s not a simple process, but a long drawn out back and forth.
Some developers are spending more time reviewing and iterating on AI-generated code than they would writing it manually.
I find myself spending on average more time in LLM review/resolution loops than it would take for me to write the code by hand.
Challenges and Limitations
Despite the potential benefits, there are still challenges and limitations to using AI to write code, including the need for multiple reviews and iterations.
However, some developers are finding that the end result is worth the extra time and effort, resulting in higher quality code.
The v1 feature feels more like a v3 given the amount of iteration it already went through.
Focus Keyword: AI Code
