I’ve been thinking about the difference between running AI tools directly from the CLI vs using them through an IDE integration. My assumption has always been that IDE setups are more powerful simply because you can see and manipulate more context at once. Inside an editor you get things like: fast navigation across the file system editing code directly while interacting with the AI highlighting code to give context instantly seeing git changes across the workspace commit tools and diffs in a GUI That kind of workflow feels hard to replicate purely in a terminal.But I’ve seen some devs say they prefer CLI-based AI workflows because they’re easier to script and automate. For example I’ve been testing BlackboxAI recently and noticed it supports both the extension/editor workflow and CLI/agent setups, which made me realize the two approaches might not be that different if you already have an IDE open. So now I’m curious how people here actually work. If you’re using AI coding tools regularly, do you mostly stick with the IDE integration or run things through terminal/CLI workflows instead? Would be interesting to hear real setups because the demos for both approaches make them look very different. submitted by /u/kamen562
Originally posted by u/kamen562 on r/ArtificialInteligence