There's nothing worse than having to stop what you are doing to fix an issue somewhere else in your code. This happens all the time. Context switching is still a huge problem. Every time this happens, you can easily waste 20 minutes getting back in the flow. The team at Verdent AI showed me what they are doing to solve this, and it's pretty interesting: Their core idea is to have parallel workstreams that don't blow up your main context. Here's what that looks like in practice when you are using their tool to write code: 1. Tasks - You can spin up separate conversation threads without losing your primary work. One task is debugging, another is exploring a new feature, and a third is doing research. Switch between them instantly. 2. Workspaces - Each workspace is an isolated coding environment with its own branch, commit history, and modifications. You can literally build two different implementations of the same feature side by side, then decide which one to merge. I really like the idea of having parallelization baked into the tool itself. Software development doesn't work linearly: you're always juggling multiple things at once.
The cool thing about Verdent: You can always spin up a new Task, handle what you have to, and come back to exactly where you were. Your main context stays untouched. By the way, the agent scores 76.1% on SWE-bench Verified, so it's very competitive with some of the best tools out there. Definitely worth a look:
By the way, Verdent also supports a Plan Mode. For most tasks, I don't think it is a good idea to jump straight into code generation. Instead, spend time thinking through the problem first and write down as many details as possible. Give this to the tool and let it ask clarifying questions, identify gaps, and generate a structured plan for you. That's how you'll make the most progress.
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