I'm building Iterlay, an MIT-licensed desktop app for working on images and visual assets with your coding agent. It combines an infinite canvas with image generation, editing, version comparison, and a CLI. Codex or Claude Code can use the CLI and a Skill to work with the model providers you've already configured in the app. For the demo, Codex generated a product shot of a fictional portable speaker, edited its color, created an outdoor scene and a brand poster, then arranged the results on one board and exported the images. The screenshots in the README come from that workflow. What it does today: Keep references, generated images, and iterations on the same canvas. Edit an existing image and compare versions. Let your coding agent generate, edit, arrange, and export assets into your project. Use your own model providers. The app is free; model usage is billed by the provider. Boards and assets are stored locally. Prompts and required reference images are sent to the model service you choose. macOS and Windows installers are available; platform-specific limitations are documented in the releases. Source, screenshots, and downloads: https://github.com/Davied-H/iterlay If you use coding agents to build apps, what would you want them to handle first: creating images, refining existing assets, or organizing the results?   submitted by   /u/daived_he [link]   [comments]