Astra + Jev + DS V4.1 Flash: SUPER FAST, SUPER CHEAP & SOTA WORKER Setup!
https://bambooed.ai is in Alpha. Use Coupon Code: 1000KINGS & get 50% OFF for the first 12 months (applicable for first 1000 users only). In this video, I’ll show you how to build an architect-and-worker AI coding team in Bambooed. A powerful architect model plans and reviews the project, while more affordable worker models handle individual coding assignments. I’ll also demonstrate how optional Jev assistance can help select workers, retrieve context, review saved changes, and test an app in the browser. -- Key Takeaways: 🏗️ Bambooed lets you create AI coding teams with a dedicated architect and multiple worker agents. 💸 Affordable worker models can handle routine implementation while a stronger model focuses on planning, coordination, and review. 🤖 Codex can serve as the architect, while DeepSeek models connected through OpenCode can work on separate assignments. 🧠 Jev can optionally suggest workers, find relevant context, review completion evidence, and check saved changes against project rules. ⚡ Bambooed supports up to three simultaneous worker assignments, reusable team profiles, checkpoints, and configurable run limits. 🧩 Clear file ownership and an agreed interface help parallel agents work independently without creating conflicting changes. 🧪 Diffs, automated tests, browser journeys, screenshots, and manual checks provide stronger evidence than agent completion claims alone. 🌐 The optional browser integration can test local applications in a separate Chrome session and report failed interactions. 📊 The true cost should include the architect, workers, retries, subscriptions, Jev checks, and browser-helper usage. 👍 Overall, Bambooed offers an interesting way to manage architect-and-worker coding workflows from one polished interface.
