Fast iteration is essential for modern development, but speed should not come at the cost of safety. As teams deploy more frequently and workflows become more dynamic, visibility into what is changing before a deployment becomes critical.
To address this, we’ve introduced Canvas Change Tracking in Bult.ai.
This update gives developers full control and transparency over changes made to their projects before anything is deployed.
What Is Canvas Change Tracking
Canvas Change Tracking provides a centralized view of all changes made to your project that have not yet been deployed.
Instead of changes being applied immediately or hidden behind configuration steps, every update is captured and displayed on the Canvas. This allows you to clearly see what is about to change and decide how to proceed.
What You Can Do with Canvas
With the new change tracking system, you can:
• Review a full list of uncommitted changes
• Inspect what has been modified before deployment
• Approve changes you are ready to deploy
• Discard changes you do not want to apply
• Roll back to a previous state when necessary
This workflow brings an extra layer of safety to fast deployment cycles and helps prevent accidental updates from reaching production.
Why This Matters
In many deployment platforms, changes are applied implicitly or bundled together, making it difficult to understand what exactly will be deployed. This becomes risky when iterating quickly, experimenting with configurations, or working across multiple environments.
Canvas Change Tracking solves several common problems:
• Reduces deployment mistakes caused by hidden or forgotten changes
• Improves confidence before pushing updates to production
• Makes experimentation safer by allowing easy rollback
• Supports teams that want clearer review steps before deployment
Whether you are working solo or as part of a team, having a clear snapshot of pending changes helps maintain control without slowing you down.
Designed for Fast Iteration
Canvas Change Tracking is built to support the way modern teams work. You can iterate quickly, make multiple adjustments, and review everything at once before deploying.
This approach keeps the workflow simple while adding guardrails exactly where they are needed.
What’s Next
Canvas Change Tracking is part of a broader effort to make deployments on Bult.ai more transparent, predictable, and developer-friendly. We are continuing to invest in features that improve observability, control, and confidence throughout the deployment lifecycle.
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