Choosing the Best AI Coding Assistants to Boost Your Workflow

One thing I don’t like is how some AI tools require cloud access for code completion. Not great for privacy.

Is anyone here using AI tools for non-code stuff like documentation and code comments? How’s that working out?

Been using these tools for a while, one tip: always review the code suggestions carefully. They’re helpful but not perfect.

I’m all about the AI that helps write tests. It saves me so much time on those repetitive test cases.

I usually combine a few AI tools depending on the project. No one tool is perfect, but together they’re pretty good.

I found that Kite helps a lot with code completions, especially in Python projects. It’s lightweight and pretty intuitive.

I’m curious if these AI tools help more with learning new languages or just speed up familiar stuff?

Heads up, you can also check ai-u.com for new or trending tools if you wanna stay updated on what's out there!

For productivity, I think integrating the AI tool with your existing IDE workflow is key. Otherwise, it feels like juggling apps.

Sometimes I feel like these AI tools are more distracting than helpful. Anyone else feel overwhelmed by all the suggestions?

Anyone tried TabNine? Heard it’s pretty flexible since it supports multiple languages.

Some of these AI assistants aren't great at understanding legacy code, which can be frustrating when maintaining old projects.

Have you guys noticed how some tools handle context better? Like understanding the whole file vs just line by line.

I wish there were better ways to measure the actual productivity gains from these AI assistants. It feels kinda subjective.

Do you think AI coding tools will eventually replace junior dev roles or just augment them?

I've tried a few and honestly, GitHub Copilot has been a game changer for me. It really cuts down the time I spend writing boilerplate code.