Most AI coding assistants live in your local IDE, forcing you to babysit execution. pre.dev runs in isolated cloud sandboxes with parallel sub-agents, spinning up your entire tech stack, holding state, self-verifying code, and running builds safely without breaking local setup.

Master your predev coding agent with our complete guide to slash commands! Learn how to dial in AI effort, assign models per phase, integrate third-party tools, and run multi-hour builds on autopilot.

We just launched Effort Selection and the Model Picker in pre.dev Sprints. You can now control workflow depth with /effort, pin LLMs tiers to specific execution phases with /model, or toggle Pro Mode for maximum output quality.

We introduced predev Sprints, allowing you to group tasks into a single coding agent session. Queue items from your Kanban board, run custom tasks with /sprint, and maintain tighter control over your build process before switching to Autopilot.

We just launched native media generation inside the predev coding agent workflow. You can now generate images, video, speech, and music in-line without leaving your workspace or manually uploading third-party assets.

Stop jumping straight into code. To ship production-grade software with AI agents without endless refactoring, you need a control plane. Here is how to use predev to decompress raw ideas into an autonomous, parallelized agent execution pipeline.

We just shipped Multi-Session Builds. You can now delegate engineering tasks to independent, isolated coding agent sessions simultaneously on a single project.