Cline just dropped version 3.3.0, and it reinforces why it’s still the best AI coding assistant out there. While GitHub Copilot finally added their agent mode, it’s nowhere close to what Cline can do.
First, let’s look at what’s new in Cline 3.3.0:
– A .clineignore file system that blocks Cline from accessing sensitive files
– Quick switching between Plan/Act modes with CMD + Shift + A
– Fixed that annoying bug where new files wouldn’t show up in the dropdown
– Smart retry for rate-limited requests
– Support for AWS Bedrock profiles and new providers like Requesty, Together, and Alibaba Qwen
The .clineignore feature is particularly important for teams working with sensitive data. You can now use auto-approve mode without worrying about exposing sensitive files to the AI.
But what really sets Cline apart from GitHub Copilot? It’s not just about features – it’s about how it thinks. Cline actually understands what you’re trying to do, even when you’re not perfectly clear. GitHub Copilot still needs hand-holding through most tasks.
I’ve covered the AI development process extensively in my post about the AI Coding Pit (https://adam.holter.com/the-ai-coding-pit-how-complexity-affects-development-progress/). The key difference is that Cline operates at a system level, not just within your editor. It can interact with browsers, terminals, and your entire development environment.
Cline’s Model Context Protocol lets it autonomously browse functions, run commands, and access various tools without constant supervision. This is miles ahead of Copilot’s limited editor-only scope.
The Plan/Act toggle is another game-winning feature. You get the control you need for critical changes while keeping the speed for routine tasks. This kind of thoughtful design shows why Cline remains the top choice for serious developers.
If you’re still using GitHub Copilot, you’re missing out on what AI coding assistance can really do. Cline isn’t just better – it’s in a completely different league.
