When coding agents write entire stacks of commits in seconds, reading raw line-by-line diffs becomes a bottleneck. You miss the architectural intent, and tracking down what an autonomous agent decided to do feels like guessing in the dark. According to its GitHub repository, the open-source desktop app Whiteboard attempts to solve this by providing a shared canvas where humans and agents can architect software together.
Built by devdotfast and available for macOS, Windows, and Linux, Whiteboard plugs directly into coding agents like Claude Code or Codex. It gives your agent an SDK to draw on an in-app canvas, letting it outline proposed APIs, data models, or telemetry changes. When you click on visual elements like a sequence diagram or an entity relationship diagram, the app jumps straight to the underlying code through built-in VSCode keybindings and LSP support.
Beyond visual canvases, Whiteboard includes a semantic, AST-aware diff viewer written in Rust. Raw diff outputs are often too noisy, so the tool summarizes large added functions as pseudocode while collapsing unit tests and documentation changes by default. This makes it far easier to review what an AI assistant actually modified without drowning in boilerplates or minor refactors.
The app also addresses the opaque nature of autonomous agent behavior. Whiteboard lets agents query and link their own execution traces back to the canvas. Developers can inspect the requirements they initially set, trace how the agent implemented them, and review any decisions made autonomously during the run. While the project currently does not support editing files directly inside the workspace or handling multi-repo reviews seamlessly, it offers a compelling look at how developer workflows are adapting to autonomous coding agents.
To keep your agent from generating generic, poorly structured interfaces when building out front-ends alongside tools like Whiteboard, establish strict rules for its design system from the start. Add a comprehensive instruction file to your repository so your assistant respects spacing, typography, and color rules on every iteration. Check out your design system files before kicking off large refactors, and always verify that your agent's architectural changes match your layout constraints.