Binyang
Most AI coding tools now support multi-agent workflows, meaning you can build different features in parallel. But in practice—even on small personal projects—I haven’t found this approach particularly helpful. The codebase grows rapidly, and beyond potential conflicts, the biggest downside is that it just feels exhausting.
With a more traditional way of coding, moving from thinking to implementation, it’s much easier to get into a flow state. Ironically, actually writing code is what helps me relax.
For a simple feature, the real challenge is making it intuitive and well-designed. That’s where meaningful collaboration with AI should happen. Your thinking process needs to work alongside AI to produce code that’s actually useful and sustainable over time.