April 18, 2024, 12:19 p.m. | Attila Fejér

DEV Community dev.to

In the previous post, we saw the limitations of AI developer tools. Yes, they are not perfect. However, they are still able to improve our productivity significantly.


This time, we'll dive into how we can effectively use them to achieve a better development experience, higher-quality output, and faster delivery.





Why Do We Need AI?


First, we need to understand our pain points to identify solutions. According to software.com's Global Code Time Report, the median daily code time per developer …

ai delivery developer development experience faster however how to use ai limitations productivity programming quality them tools

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US

Research Engineer

@ Allora Labs | Remote

Ecosystem Manager

@ Allora Labs | Remote

Founding AI Engineer, Agents

@ Occam AI | New York