Hey everyone, I'm trying to get the hang of using AI agents, but honestly, I'm not seeing much of a productivity boost yet. So far, my use has been pretty basic—mostly just autocomplete and making small code adjustments. I'm curious to learn how others are leveraging AI agents to improve their workflows. Are there any best practices or guides you could share?
5 Answers
One thing that really helps is to provide as much context as you can. If you give the AI clear preferences and rules, it'll understand your needs better. Sure, you need a good prompt too; if your prompt is vague, it won't do much good. So, try storing your preferences in a rules file if that feature exists!
Actually, you're using AI just fine! The autocomplete and making targeted changes are common uses. A lot of developers struggle because they try to ask AI to solve the big problems instead of just refining specific tasks. For better results, be specific with your prompts. Instead of saying 'make this better,' you could ask, 'refactor this function to use async/await.' And don't feel bad if you aren’t seeing huge productivity gains. Even the best developers only save about 15-20% of their time with AI.
You might be setting your expectations too high. These models aren't going to transform you into a super developer overnight. Right now, they're more like fancy autocomplete tools, helping to fix simple errors and making minor coding tasks easier.
If you're looking to improve, definitely check out Anthropics’ YouTube channel—they've got some great videos on using AI coding tools effectively. It's worth your time for sure!
I totally relate to your experience! I found success using AI to generate large datasets for testing and creating examples of code that I couldn't easily find elsewhere. While the output isn't always production-ready, it often leads me to the right solution by guiding my thought process. Sometimes it's more about using AI as a brainstorming partner than expecting perfect code right off the bat!
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