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Factor helps engineering teams understand what could break in production before a pull request is merged. It analyzes PRs the way a senior engineer would—reasoning about system behavior, not just code changes.

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🧠 What Factor does

Modern backend systems are too complex to fully reason about during code review. Even when tests pass and CI is green, production issues still happen because:
  • assumptions are implicit
  • services are interconnected
  • failure scenarios are not tested
  • system behavior is hard to simulate from diffs alone
Factor surfaces these risks before merge time.

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⚠️ What Factor identifies

Factor focuses on risks that matter in real production systems:
  • Hidden assumptions in logic
  • Failure modes under real-world conditions
  • Downstream impact across services
  • Missing validation and edge cases
  • Business logic risks in critical workflows

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🧩 How it fits into your workflow

Factor runs automatically on every pull request: 
PR opened or updated
        ↓
Factor analyzes code + system context
        ↓
Risk analysis generated
        ↓
Shown on the pull request
        ↓
Engineer reviews → decides to merge
No setup per PR. No workflow changes.

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🧠 How this is different

Code review focuses on:
  • readability
  • correctness in isolation
  • team conventions
CI focuses on:
  • builds
  • tests
  • linting
Factor focuses on:
  • system-level behavior
  • cross-service impact
  • production failure scenarios
  • hidden assumptions in changes

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🎯 Why Factor matters

Most production incidents don’t happen because code is “wrong.” They happen because: the system behaves differently than what the reviewer assumed. Factor makes those assumptions visible before merge time.

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🚀 Get started

Install Factor on your GitHub account, select your repositories, and it will begin analyzing pull requests automatically. No code changes required.

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🧠 Outcome

Engineers don’t just review code. They understand production risk before it ships.

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For engineers

Quickstart

Install Factor and run your first analysis.

How Factor Works

Technical overview of Factor’s analysis pipeline.

Understanding Reviews

Deep dive into every section of a Factor analysis.

Example Reviews

Real Factor analyses on financial, auth, and infrastructure changes.

Verdicts & Risk Levels

What SAFE, REVIEW_REQUIRED, and BLOCKER mean.

FAQ

Common questions about Factor.
Want to see Factor on your repo? Start with the Quickstart to install and configure.