Diffwise vs Greptile

Greptile is aI code review agent that indexes your whole codebase into a dependency graph and reviews PRs with full-repo context, posting few, high-signal comments. Diffwise takes a different approach: a team of 40+ specialist AI agents (security, performance, conventions, language-specific) reviews every pull request in parallel, classifies findings as Fixed, Still Open, or New on each push, and tracks anti-patterns across your entire organization.

The short version: pick Diffwise for specialist multi-agent review, cross-repo intelligence, and flat-rate pricing that does not grow with headcount. Pick Greptile if deep whole-codebase context on a large monorepo matters more to you than price or a free tier.

Side-by-side comparison

DimensionDiffwiseGreptile
Review architecture40+ specialist agents in parallel (security, performance, conventions, language-specific)Single agent with full-codebase index and dependency graph
Incremental re-reviewEvery push: findings classified Fixed / Still Open / New, old comments collapsedReviews subsequent pushes; no Fixed/Still Open/New classification
Cross-repo intelligenceAnti-pattern tracking across all repos, hot file analysis, resolution velocityDeep single-repo context; no cross-repo anti-pattern tracking
Custom rulesCustom Agent Builder + .diffwise.yml config-as-codeNatural-language rules and style guides
Pricing modelFlat-rate: $19/mo managed or $9/mo BYOK (OpenRouter) — not per-seatPer-seat + usage: $30/seat/mo, then $1 per review past 50/seat
Free tier (private repos)50 reviews/mo, 3 repos, free forever, no credit cardNone (open source only)
Code storageZero — diff processed in memory, discarded after reviewIndexes your codebase to build its context graph
PlatformsGitHubGitHub, GitLab

Where Greptile shines

  • Strong bug catch rate in independent benchmarks
  • Codebase-wide context catches cross-file issues diff-only tools miss
  • High signal-to-noise review philosophy
  • Enterprise-grade security posture

Where Greptile falls short

  • 2026 per-review overage pricing ($1/review past 50 per seat) drew heavy criticism on Hacker News
  • No free tier for private repositories
  • $30/seat/mo base is among the most expensive in the category
  • GitHub and GitLab only — no Bitbucket or Azure DevOps

Why teams choose Diffwise

  • Specialists, not a generalist. 40+ agents each scoped to one concern: a security agent hunting injection and auth bypass, a performance agent hunting N+1 queries, language agents that activate per file type.
  • Re-reviews that respect your time. On every push, findings are classified Fixed, Still Open, or New. No re-reading walls of repeated comments.
  • Cross-repo intelligence. Anti-patterns tracked across your whole org, hot file analysis, and resolution velocity metrics in one dashboard.
  • Flat pricing. $19/mo managed or $9/mo BYOK, whether you have 3 engineers or 30. Free tier: 50 reviews/month, 3 repos, no credit card.
  • Zero code storage. The diff is processed in memory and discarded.

Frequently asked questions

What is the main difference between Diffwise and Greptile?

Diffwise reviews every pull request with 40+ specialist agents running in parallel and tracks anti-patterns across all your repositories, with flat-rate pricing ($19/mo managed, $9/mo BYOK). Greptile: AI code review agent that indexes your whole codebase into a dependency graph and reviews PRs with full-repo context, posting few, high-signal comments.

Is Diffwise cheaper than Greptile?

Diffwise is flat-rate ($19/mo managed or $9/mo with your own OpenRouter key) regardless of team size, with a free tier of 50 reviews/month on 3 repos. Greptile pricing: Pro $30/seat/mo including 50 reviews per seat, then $1 per additional review; Enterprise custom; no free tier for private repos.

When is Greptile the better choice?

Deep whole-codebase context on a large monorepo matters more to you than price or a free tier.

Does Diffwise store my code?

No. Diffwise processes the diff in memory and discards it after the review. Zero bytes of code are persisted; only findings are stored for tracking.