Qodo (formerly CodiumAI) vs Prelint

Detailed side-by-side comparison to help you choose the right tool

Qodo (formerly CodiumAI)

🟢No Code

AI code review

Qodo (formerly CodiumAI) is an AI code review and governance platform with PR review, IDE review, rules system, and cross-repo context, priced at $30/month starting with $0.012/credit usage.

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Starting Price

$0 — no credit card

Prelint

🔴Developer

AI code review

A pull-request reviewer that checks implementation against product specifications and a decision ledger to catch product drift.

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Starting Price

$1 per completed review

Feature Comparison

Scroll horizontally to compare details.

FeatureQodo (formerly CodiumAI)Prelint
CategoryAI code reviewAI code review
Pricing Plans4 listed plans2 listed plans
Starting Price$0 — no credit card$1 per completed review
Key Features
  • • AI-powered pull request code review
  • • Real-time IDE code analysis
  • • Automated test generation
  • • specification-aware review
  • • product decision ledger
  • • GitHub integration

Qodo (formerly CodiumAI) - Pros & Cons

Pros

  • ✓Credit-based pricing pooled across the team is friendlier than per-seat for teams with uneven review volume
  • ✓Living Rules System genuinely addresses 'AI writes code faster than humans review it' with mined org standards
  • ✓Real on-prem / air-gapped Enterprise deployment plus BYOK keeps code and model spend on your infrastructure

Cons

  • ✗Rebrand from CodiumAI to Qodo has caused documentation drift across the web and legacy URLs
  • ✗Cross-repo capabilities are Enterprise-only — mid-market teams can't access them on the $30/mo Pro Team plan
  • ✗PR review noise filtering is less mature than CodeRabbit's in some teams' experience

Prelint - Pros & Cons

Pros

  • ✓$1 per completed review is easy to model
  • ✓Failed and cancelled reviews are free
  • ✓Credits do not expire
  • ✓Targets product drift beyond code style

Cons

  • ✗MCP is in closed tests, not generally available
  • ✗Findings depend on current decisions
  • ✗Charges add up with many small pull requests
  • ✗Product judgments need accountable reviewers

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