With so many options on the market, and plenty of questions about their outputs, here are some mistakes to avoid when picking an AI coding assistant.
In a matter of months, AI coding assistants went from a promising application of generative AI, to a widely accepted tool within developer workflows.
In this fast expanding landscape there are already a plethora of coding assistants to choose from. How do you know what to look for? Here’s a list of mistakes to avoid as you begin to evaluate what tools could be right for you and your team:
1. Not taking your security review seriously enough
One of the biggest mistakes teams can make when adopting AI coding assistants is neglecting to prioritize security.