Enterprise AI code review
Use your own AI to review every Salesforce release.
Your team already uses AI for code review, like Copilot, Claude or an internal tool. Blue Canvas connects it to your deployments, so every review has the right context and lands where your team works.
- Works with the AI reviewer you already use
- Clean Salesforce diffs, linked tickets and target org in one place
- AI reviews posted right into deployment requests
{
"deployment": "284",
"target": "production",
"approval": "required",
"work_items": [
{ "id": "ENG-142",
"title": "Account access rules" }
]
}Your AI reviews a release like your team does
- 01
Your AI asks what is moving
It calls the endpoint we built for you and reads the deployment request, the changes and the target org.
$ GET /api/deployments/284
200 OK - 02
It sees the work behind each change
Linked work items tell it why the change exists, so the review is about real user stories and tickets.
ENG-142Account access rulesENG-158Region field for enterprise accountsSVC-31Support asked for a faster cancel flow - 03
It posts its findings back
The review lands inside the deployment request, where your team already works, instead of a separate inbox.
Review posted to deployment request - 04
Your rules still decide
Production approval stays with the people you chose. Nothing ships because an AI said yes.
AI code reviewCompleteSecurity and access rulesPassedProduction sign-offWaiting on you
$ GET /api/deployments/284
How it works
- 01 /
Tell us your AI tool
Share which AI reviewer you use and where it runs.
- 02 /
We connect it to Blue Canvas
We set up the endpoints and triggers around your process.
- 03 /
Every release gets reviewed
AI findings land in the deployment request, and your team signs off.
Why not just point AI at Git?
Generic AI reviewers struggle with Salesforce metadata like profiles, permission sets and XML. Blue Canvas gives your AI a clean view of what is really changing and why, so reviews are useful, not noisy. Your approval rules still decide what reaches production.
How a global industrial tech company built AI code reviews on Blue Canvas
Their team is building an internal AI code review tool on top of the Blue Canvas API. We worked with them to add what they needed:
Linked work items on deployments
Their AI sees the user stories and tickets behind each change, so reviews have real context.
A comments endpoint
Automated reviews post their findings straight back into the deployment request, where the team already works.
“They are now a design partner, helping shape what we build next.”
What we connect for you
Review triggers when a deployment request is created
Review context: diffs, work items and target org
Ongoing support as your AI use grows
Write-back of AI comments and status into deployment requests
Security and access rules that match your policies
Already using AI for code review?
Let's connect it to your releases.