A category for software releases

Regression Intelligence

Regression Intelligence is the practice of understanding how a software release changes production behavior before it ships.

[why it matters]
See Regression Guard
Unit of analysisRelease candidate
  1. 01
    Release levelEvaluate together
  2. 02
    Production behaviorUnderstand change
  3. 03
    Downstream impactTrace across boundaries
Before releaseEvidence for the release decision

Many changes become one software release

One missed regression reaches customers

Change volume

  • AI-generated changes
  • Application PRs
  • Infrastructure changes

Combined unit

Release candidateevaluated as one release

Production behavior

  • Customer flow
  • Cross-component impact
  • Downstream regression
Existing controls
  • Code review
  • Tests
  • QA
  • Monitoring
Regression IntelligenceIn CI, before deployment
Release evidenceDecision before deployment

Use cases

The product application

Early Release Guard puts it into practice

Regression detection is one strength of Early Release Guard. Compare release candidates with production behavior and trace impact across configured project relationships.

Explore Release Guard
Regression Guard release candidate dashboard showing regression impact, seven issues and an affected flow

Evidence

Regression Case Files

Independent historical replays of publicly documented open-source regressions, supported by upstream sources and reproducible evidence.

Read the Case Files
How a Persistence Fix Skipped Mastra's Output Processors After Provider Failure
Regression Case File
Sharon Barr, Co-Founder, CEO
How a Persistence Fix Skipped Mastra's Output Processors After Provider Failure
A targeted historical replay found the shared guard that disabled final processors when a model provider failed.
Early Found a Conan Regression in a 134-File Release
Regression Case File
Sharon Barr, Co-Founder, CEO
Early Found a Conan Regression in a 134-File Release
One changed predicate turned a valid no-op replacement into a build failure. Early identified it among nine findings.
A Pydantic AI Regression Inside a 47-File Fix
Regression Case File
Lior Froimovich, Early CTO
A Pydantic AI Regression Inside a 47-File Fix
A targeted historical replay traced incomplete streaming responses to one drain loop removed during a 47-file cleanup.

Release decisions need behavior-level evidence

[book a demo]