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Parsa Mohammadi
Parsa Mohammadi

Posted on Originally published at tomosu.ai

Pre Merge Reliability Analysis

Most code review happens before merge.

That makes the pull request a useful place to assess more than implementation quality.

A pre merge reliability analysis looks at the proposed change together with the production context around it.

The goal is simple:

Understand the potential production impact before the change becomes part of the next release.

Start with change scope

Identify what the pull request changes.

Look at:

  • Files
  • Services
  • APIs
  • Databases
  • Infrastructure
  • Shared components
  • Customer facing behavior

Then ask what is indirectly affected.

Map dependencies

A change can propagate through dependencies.

PR
 ↓
Changed component
 ↓
Dependencies
 ↓
Production services
 ↓
Users and workflows
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This is often more useful than looking at the number of changed lines.

Review testing evidence

Ask whether the important behavior is actually verified.

Consider:

  • Unit tests
  • Integration tests
  • End to end tests
  • Regression tests
  • Failure scenarios
  • Dependency behavior

A green test suite is evidence.

It is not proof that every production condition has been covered.

Add production context

Look at how the affected components behave in production.

Consider traffic, customer usage, runtime anomalies, and operational constraints.

Check history

Previous incidents, rollbacks, and repeated regressions can provide useful context.

The goal is not to automatically reject changes in areas with a history of problems.

The goal is to make that history visible during review.

Consider deployment conditions

Ask whether the change can be safely deployed and reversed.

A change with a large potential impact may have manageable operational risk if it can be deployed gradually and rolled back quickly.

What should block a merge?

There is no universal threshold.

Different teams have different systems, deployment processes, and tolerance for uncertainty.

The useful question is:

Does the available evidence justify merging this change under the current deployment conditions?

Where PRI fits

The Production Reliability Index (PRI) can provide a summary signal around the change while preserving the underlying findings that explain it.

That makes it useful as another input into the merge decision rather than a replacement for review.

Run a PRI assessment:

https://tomosu.ai/start

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