Tomosu Introduces a New Way to Quantify the Production Reliability of Software Changes
Tomosu introduces the Production Reliability Index (PRI), a new way to measure how software changes may affect production reliability. While AI code review helps determine whether code looks correct, PRI evaluates the wider system context, including dependencies, affected components, business criticality, historical behavior, and potential blast radius.
San Francisco, CA, October 28, 2026 --(PR.com)-- AI coding tools are changing how quickly software teams can write and ship code. As the volume of AI assisted changes increases, code review has become an increasingly important part of the development workflow.
But reviewing whether a change looks correct is not the same as understanding what that change could mean for production.
Tomosu developed the Production Reliability Index (PRI) to address that gap.
PRI is designed to give engineering teams a reliability signal for a software change before it reaches production. Instead of evaluating a pull request only at the code level, it considers the change in the context of the system around it, including dependencies, affected components, historical behavior, business criticality, and potential blast radius.
This is also where Tomosu takes a different approach from conventional AI code review.
AI code review can help developers identify bugs, explain code, suggest improvements, and review changes. Tomosu focuses on a different layer of the decision: what does this change mean for the reliability of the production system?
A small change can have a large production impact if it touches a critical dependency or widely used service. Conversely, a much larger change may have limited impact if it is isolated from critical production paths.
PRI was created to make that context measurable.
Tomosu's approach is to bring together signals that are normally distributed across the development and reliability stack and use them to produce a Production Reliability Index for the change.
The goal is not to replace code review, testing, security scanning, or observability. It is to add a reliability perspective to the decision of whether a change is ready to ship.
As AI makes software development faster, Tomosu is built around a simple question that becomes increasingly important:
Can we understand the reliability impact of a change before users experience it?
The Production Reliability Index is currently available through Tomosu as a free assessment for developers and engineering teams.
Explore the Production Reliability Index: https://tomosu.ai/platform#indexes
But reviewing whether a change looks correct is not the same as understanding what that change could mean for production.
Tomosu developed the Production Reliability Index (PRI) to address that gap.
PRI is designed to give engineering teams a reliability signal for a software change before it reaches production. Instead of evaluating a pull request only at the code level, it considers the change in the context of the system around it, including dependencies, affected components, historical behavior, business criticality, and potential blast radius.
This is also where Tomosu takes a different approach from conventional AI code review.
AI code review can help developers identify bugs, explain code, suggest improvements, and review changes. Tomosu focuses on a different layer of the decision: what does this change mean for the reliability of the production system?
A small change can have a large production impact if it touches a critical dependency or widely used service. Conversely, a much larger change may have limited impact if it is isolated from critical production paths.
PRI was created to make that context measurable.
Tomosu's approach is to bring together signals that are normally distributed across the development and reliability stack and use them to produce a Production Reliability Index for the change.
The goal is not to replace code review, testing, security scanning, or observability. It is to add a reliability perspective to the decision of whether a change is ready to ship.
As AI makes software development faster, Tomosu is built around a simple question that becomes increasingly important:
Can we understand the reliability impact of a change before users experience it?
The Production Reliability Index is currently available through Tomosu as a free assessment for developers and engineering teams.
Explore the Production Reliability Index: https://tomosu.ai/platform#indexes
Contact
Tomosu AI
Parsa Mohammadi
+1-332-248-3264
https://tomosu.ai/
Parsa Mohammadi
+1-332-248-3264
https://tomosu.ai/
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