@jackie_47If you're not using Grok Bot for AI coding yet, this workflow might change your mind. I've been testing it out, and honestly, it's the most effective setup I've come across. The secret isn't just the model itself, but how you structure your bots. You need a dedicated developer bot and a project manager bot. The developer bot spawns Cursor cloud agents to handle the actual coding, while the PM bot keeps an eye on progress and grants permissions as needed. The PM bot uses a board, either in Notion or Linear, to track everything, and both have free plugins that work seamlessly with Grok Bot. Here's the flow: the PM bot breaks down a project into tasks in Notion or Linear, then feeds them one by one to the developer bot. Each task turns into a pull request, so you can test and merge while the bots keep working. It's basically a self-running software factory. The code quality is top-notch because Cursor cloud agents are that good, and you stay organized since every task has its own tracked PR. I've shifted about 90% of my AI coding to this method, and I'd recommend setting it up for your next build. Pro tip: share this with your chief of staff bot to automate the whole setup
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