Unlocking the Truth About AI Coding Assistants: Are They Really Beneficial?
At Cerbos, our development team stands divided on the use of AI coding assistants. Some believe they are invaluable for speeding up side projects, while others argue they can be misleading and may actually hinder productivity. Here’s what our findings reveal:
- Perception vs. Reality: Developers often feel more productive when using AI, but research shows they may be slower in practice. AI coding offers quick feedback but often leads to inefficiencies.
- Quality Concerns: Output quality diminishes with longer contexts, leading to “context rot.” 66% of developers express frustration with nearly correct AI-generated code.
- The 70% Barrier: AI may help with initial scaffolding but struggles on the final 30% needed for production-ready code.
Understanding these insights can inform better decision-making around AI tools.
Let’s Collaborate: If you’re navigating the intricacies of AI development, don’t hesitate to reach out to our team! Share your thoughts below, and let’s debate the future of coding!
