Macroscope vs Greptile: AI Code Review Comparison for 2026

Macroscope vs Greptile is one of the most common comparisons teams make when choosing an AI code review tool. Both tools review pull requests automatically, both build context from your codebase, and both promise to catch bugs that human reviewers miss. The differences are in how they detect bugs, how they enforce team standards, and what happens after a bug is found.

TL;DR — Macroscope vs Greptile

• Bug detection: Macroscope detected 48% of production bugs in a 118-bug benchmark; Greptile detected 24%
• Detection approach: Macroscope uses AST-based codewalkers that build a reference graph of your codebase; Greptile uses an agentic search loop over an indexed code graph
• Pricing: Macroscope charges $0.05/KB reviewed (usage-based); Greptile charges $30/seat/month with 50 reviews included, then $1 per additional review
• Custom enforcement: Macroscope uses Check Run Agents (custom checks that run arbitrary code); Greptile uses natural-language rules and learned patterns from PR comments
• Auto-fix: Macroscope's Fix It For Me creates branches, opens PRs, and iterates until CI passes; Greptile offers a "Fix in X" button that sends context to external tools like Cursor or Claude Code
• Platform: Macroscope supports GitHub only; Greptile supports GitHub and GitLab

How Macroscope and Greptile Approach AI Code Review

Macroscope and Greptile take fundamentally different approaches to understanding your codebase and detecting bugs in pull requests.

Macroscope builds an Abstract Syntax Tree (AST) for every file in your repository using language-specific codewalkers — dedicated parsers for Go, TypeScript, Python, Java, Kotlin, Swift, Rust, Ruby, Elixir, and more. These codewalkers construct a reference graph showing how functions, classes, and variables relate to each other across files. When a pull request changes a function, Macroscope traces every caller, every dependent, and every type constraint to evaluate whether the change introduces a bug. This is why Macroscope catches cross-file bugs — the kind where changing a function signature in one file breaks a caller in another.

Greptile indexes your entire repository and generates a graph of functions, variables, classes, files, and directories. When reviewing a PR, Greptile's agent runs in an agentic loop with access to codebase search, git history, and learned rules. It can follow nested function calls and perform multi-hop reasoning across files. Greptile's approach is more exploratory — the agent decides what to investigate rather than following a predetermined analysis graph.

The difference matters. Macroscope's AST-based approach means it catches structural bugs — type mismatches, broken interfaces, incorrect argument passing — because it literally parses the code the same way a compiler would. Greptile's search-based approach is more flexible but can miss structural issues that require full parse-tree resolution.

Bug Detection: The Benchmark Data

The most concrete comparison between Macroscope and Greptile comes from Macroscope's Code Review Benchmark, which tested five AI code review tools against 118 self-contained runtime bugs across 45 open-source repositories in 8 programming languages.

Tool	Detection Rate	Approach
Macroscope	48%	AST codewalkers + reference graph
CodeRabbit	46%	AI-powered review with learnings
Cursor BugBot	42%	LLM-based analysis
Greptile	24%	Agentic codebase search
Graphite Diamond	18%	LLM diff analysis

Macroscope detected 2x more production bugs than Greptile in this benchmark. The gap was especially pronounced in languages where AST parsing provides structural advantages:

• Go: Macroscope 86%, Greptile's detection rate was significantly lower
• Java: Macroscope 56%
• Python: Macroscope 50%

A methodological note: Greptile's access was revoked partway through the evaluation, so Greptile was tested on 72 of the 118 bugs (17 detected, 23.6%) rather than the full set. Macroscope, CodeRabbit, and Cursor BugBot were evaluated on all 118. The 24% figure in the table above is rounded from the 72-bug subset.

It is also worth noting that every vendor publishes benchmarks where their tool performs best. Greptile publishes its own benchmark results claiming an 82% recall rate — but independent re-evaluations by third parties found significantly lower detection rates (closer to 45%) on the same repositories. The Macroscope benchmark tested all tools on the same dataset of real production bugs from open-source repositories, with methodology published for reproducibility. Teams evaluating a Greptile alternative should run their own side-by-side evaluation on real PRs rather than relying on any single vendor's benchmark.

Precision: Signal vs Noise

Detection rate tells you how many bugs a tool finds. Precision tells you how many of its comments are actually worth acting on.

Macroscope's v3 engine (shipped February 2026) reports 98% precision — meaning nearly every review comment it leaves identifies a real issue. Comment volume dropped 22% overall compared to v2, with nitpicks down 64% in Python and 80% in TypeScript. The goal is fewer, better comments.

Greptile's v4 (shipped March 2026) improved its comment acceptance rate from 30% to 43% — meaning 43% of Greptile's comments are addressed by the PR author. Addressed comments per PR increased 74%. Greptile uses developer reactions (thumbs up/down) and reply analysis to calibrate what each team cares about, reducing noise over time. However, independent benchmarks found Greptile produced significantly more false positives than competing tools — 11 false positives in one evaluation compared to 2 for CodeRabbit on the same dataset.

These metrics measure different things. Macroscope's precision measures what percentage of comments identify actual bugs. Greptile's acceptance rate measures what percentage of comments developers act on, which includes style suggestions, documentation nudges, and other non-bug feedback. A 43% acceptance rate means 57% of Greptile's comments are not acted on — whether because they are wrong, noisy, or low-priority. Compare that to Macroscope's 98% precision where nearly every comment identifies a real issue.

If your primary concern is catching production-critical bugs with minimal noise, the gap is clear: Macroscope's 98% precision and 48% detection rate represent a fundamentally stronger signal-to-noise ratio than Greptile's 43% acceptance rate and 24% detection rate.

Pricing: Usage-Based vs Per-Seat

Macroscope and Greptile have different pricing philosophies. This is one of the biggest practical differences when evaluating Macroscope vs Greptile for your team.

Macroscope Pricing

Macroscope uses usage-based pricing. You pay for the work Macroscope actually does:

• Code Review: $0.05 per KB reviewed (10 KB minimum = $0.50 floor per review)
• Status: $0.05 per commit processed
• Agent: Included with Status subscription

Typical costs:

• Small bug fix (2 KB): $0.50
• Medium feature (30 KB): $1.50
• Large refactor (700 KB): $35.00

The historical average is $0.95 per review, and 50% of reviews cost $0.50 or less. New workspaces get $100 in free usage. Spend controls include monthly limits, per-review caps (default $10), and per-PR caps (default $50).

Greptile Pricing

Greptile uses per-seat pricing with review limits:

• Cloud: $30/seat/month with 50 reviews included
• Additional reviews: $1 each
• Enterprise: Custom pricing with self-hosting option
• Open source: Free
• Startups: 50% off

An important detail: Greptile's review overages are per-author, not pooled across the team. If one developer pushes 80 PRs in a month and another pushes 20, the first developer's 30 overages cost $30 extra — even though the team total of 100 is well under the 500 combined cap you might assume from 10 seats × 50 reviews. This makes Greptile more expensive than the simple math suggests for teams with uneven PR distribution.

Greptile also charges separately for its Chat feature (codebase Q&A) at $20/user/month on top of the $30/seat code review fee. For a 10-person team wanting both code review and codebase Q&A, Greptile costs $500/month before any overages. Macroscope includes Agent (which handles codebase Q&A, code writing, and PR shipping) at no additional cost with a Status subscription.

For the same team of 10 developers averaging 4 PRs per week each, Greptile's code review alone costs $300/month if review volume stays under each author's 50-review cap — but overages at $1/review add up quickly. Macroscope costs vary by PR size, but at the historical average of $0.95/review, the same 160 monthly reviews would cost ~$152.

The pricing difference becomes more significant with AI coding agents. As tools like Copilot, Cursor, and Claude Code generate more PRs per developer, seat-based pricing stays flat but usage-based pricing scales with actual work. Macroscope's model means you only pay when code is actually reviewed. Greptile's model means you pay per seat regardless of how many reviews each developer triggers, and heavy agent-assisted workflows quickly blow past the 50-review-per-author cap.

Custom Enforcement: Check Run Agents vs Rules

Both Macroscope and Greptile let teams enforce custom standards beyond built-in checks. The mechanisms are very different.

Macroscope Check Run Agents

Macroscope's Check Run Agents are custom checks defined in your repository's macroscope.md file. They run as part of the review pipeline and can enforce anything you can describe — architecture rules, naming conventions, migration patterns, security policies. Check Run Agents have access to the full codebase context and can be scoped to specific directories or file patterns using exclude rules.

Check Run Agents are deterministic when the rule is clear ("all database queries must use parameterized statements") and AI-powered when judgment is needed ("flag any PR that changes the payment flow without updating the corresponding test file"). They appear as GitHub check runs alongside your CI, so they integrate into your existing merge requirements.

Greptile Rules and Learnings

Greptile's custom rules are written in natural language or markdown files. You can scope them to specific repositories, file paths, or code patterns. Greptile also learns from your team — it reads engineer PR comments, tracks reaction patterns, and infers coding standards over time. After 2-3 weeks of team interaction, Greptile adjusts what it comments on.

Greptile's rule system includes effectiveness tracking, showing you how often each rule fires and whether developers act on the resulting comments. This feedback loop helps teams refine their rules.

The Difference

Macroscope's approach is explicit: you define enforcement rules, they run as check gates. Greptile's approach is implicit: it learns from team behavior and adjusts. Teams that want strict, auditable enforcement (security, compliance, migration gates) tend to prefer Macroscope's Check Run Agents. Teams that want the AI to organically pick up on team conventions may prefer Greptile's learning system.

Auto-Fix: Fix It For Me vs Fix in External Tools

What happens after a bug is found is where Macroscope and Greptile diverge most sharply.

Macroscope Fix It For Me

When Macroscope detects a bug, you can reply to the review comment with "fix it for me." Macroscope then:

1. Creates a new branch from your feature branch
2. Implements the fix using full codebase context
3. Opens a pull request
4. Runs your CI pipeline (GitHub Actions)
5. If CI fails, reads the failure logs and commits another fix attempt
6. Repeats until tests pass
7. Optionally auto-merges the fix PR

This closed-loop fix workflow is unique to Macroscope. The CI iteration step is the key differentiator — Fix It For Me does not just suggest a fix and hope it works. It validates the fix against your actual test suite and iterates on failures.

Greptile Fix in External Tools

Greptile's v4 introduced a "Fix in X" button on every review comment. Clicking it sends the issue context — file paths, line numbers, and suggested code — to an external tool: Claude Code, Codex, Cursor, or Devin. The fix is then generated and applied within that external tool's workflow.

This approach leverages the strength of dedicated coding tools for fix generation. The tradeoff is that the fix workflow happens outside Greptile — there is no integrated CI validation loop, no automatic branch creation, and no retry mechanism within Greptile itself.

Which is Better?

For teams that want a fully automated detect-fix-validate pipeline within their GitHub workflow, Macroscope's Fix It For Me is more integrated. For teams that already use Cursor or Claude Code and want review findings to flow directly into their coding tool, Greptile's approach may feel more natural. Different workflows, different strengths.

Feature Comparison Table

Feature	Macroscope	Greptile
Bug detection rate	48% (benchmark)	24% (benchmark)
Precision	98% (v3)	43% comment acceptance (v4)
Detection method	AST codewalkers + reference graph	Agentic codebase search loop
Supported languages (native)	Go, TS, JS, Python, Java, Kotlin, Swift, Rust, Ruby, Elixir, Vue.js, Starlark	Python, JS, TS, Go, Java, C, C++, C#, Swift, PHP, Rust, Elixir
Platform	GitHub	GitHub, GitLab
Pricing model	Usage-based ($0.05/KB)	Per-seat ($30/mo + $1/overage review)
Custom checks	Check Run Agents (code + AI)	Natural language rules + learned patterns
Auto-fix	Fix It For Me (branch + PR + CI loop)	Fix in X (sends to Cursor/Claude Code)
Auto-approve	Approvability (risk-based auto-approval)	Not available
PR summaries	Yes	Yes (with Mermaid diagrams)
Productivity analytics	Status (commit summaries, sprint reports)	Not available
AI agent	Agent (writes code, answers questions, ships PRs)	Chat (codebase Q&A via web app)
Slack integration	Deep (reviews, agent, broadcasts)	Limited (Chat Q&A only)
Jira/Linear integration	Native (ticket context in reviews) + Linear	Jira only (MCP-based, no Linear)
Self-hosting	Not available	Enterprise plan
GitLab support	Not available	Yes
SOC 2	Yes	Yes
Free tier	$100 in free usage for new workspaces	Free for open source
Learning from feedback	Check Run Agent refinement	Automatic from reactions + PR comments

Macroscope Features Greptile Does Not Have

Approvability

Macroscope's Approvability feature evaluates the risk level of every pull request and can auto-approve safe PRs — the low-risk changes that do not need human review. This removes the bottleneck of waiting for a human reviewer on trivial changes (dependency bumps, typo fixes, simple config changes) while ensuring complex changes still get human eyes.

Greptile does not offer auto-approval. Every PR that Greptile reviews still requires a human approver.

Status (Productivity Analytics)

Macroscope's Status feature processes every commit and generates commit summaries, sprint reports, weekly digests, and project classification. It provides productivity analytics that help engineering managers understand what the team is working on without reading every commit message.

Greptile focuses exclusively on code review and does not offer productivity analytics or commit-level insights.

Agent

Macroscope Agent writes code, answers questions about your codebase, and ships pull requests. It is accessible via Slack, GitHub, or API. Agent connects to external tools — Jira, Linear, PostHog, Sentry, LaunchDarkly, BigQuery — so it can factor in ticket context, feature flags, analytics data, and error traces when answering questions or writing code.

Greptile offers a Chat feature through its web app for codebase Q&A, and an API for building custom integrations. Greptile Chat can answer questions about your code but does not write code, open PRs, or connect to external project management and observability tools.

Deep Jira, Linear, and Slack Integration

Macroscope pulls ticket context from both Jira and Linear during code review. If a PR references a ticket, Macroscope reads the ticket description, acceptance criteria, and linked issues to provide more contextual reviews. Macroscope's Slack integration goes beyond notifications — you can trigger reviews, query your codebase via Agent, and receive team-wide broadcasts directly in Slack.

Greptile added MCP-based Jira integration in 2025, which provides some ticket context during reviews. However, Greptile does not support Linear, and its Slack integration is limited to Chat (codebase Q&A) — it does not support review notifications, agent queries, or team broadcasts in Slack. Macroscope's integrations are deeper and span more tools.

Greptile Features Macroscope Does Not Have

GitLab Support

Greptile supports both GitHub and GitLab. Macroscope currently supports GitHub only. For teams on GitLab, this makes the choice straightforward — Greptile is the option. Macroscope has not announced GitLab support.

Self-Hosting

Greptile's Enterprise plan includes a self-hosted deployment option for AWS environments, with support for custom LLM providers. This is important for teams with strict data residency requirements or those who cannot send code to external services.

Macroscope does not currently offer a self-hosted option.

Automatic Learning from Team Behavior

Greptile automatically learns from your team's PR comments and reaction patterns. After a few weeks of use, it adjusts what it comments on based on what your team actually cares about. Thumbs up/down reactions and developer replies feed back into Greptile's review calibration.

Macroscope's customization is more explicit — you configure Check Run Agents and macroscope.md rules rather than relying on implicit learning from team interactions.

PR Summaries with Mermaid Diagrams

Greptile generates PR summaries that include Mermaid diagrams for visual file-by-file breakdowns and confidence scores. Macroscope generates PR summaries but does not include visual diagrams.

When to Choose Macroscope Over Greptile

Choose Macroscope for AI code review if:

• Bug detection is your top priority. Macroscope detected 2x more production bugs than Greptile in the 118-bug benchmark. If catching bugs before they ship is the primary goal, Macroscope's AST-based approach provides higher detection coverage.
• You want an integrated fix workflow. Fix It For Me automates the entire detect-fix-validate cycle within GitHub. No context switching to external tools.
• You need custom enforcement with check gates. Check Run Agents run as GitHub check runs and can block merges — useful for security, compliance, and architecture enforcement.
• You want productivity analytics. Status provides commit summaries, sprint reports, and engineering metrics alongside code review.
• Your team lives in Slack. Macroscope's Slack integration supports reviews, agent queries, and team broadcasts. Greptile's Slack support is limited to Chat Q&A.
• You use Jira or Linear. Macroscope natively integrates with both Jira and Linear for ticket context in reviews. Greptile supports Jira only (MCP-based) and does not integrate with Linear.

When to Choose Greptile Over Macroscope

Choose Greptile for AI code review if:

• You're on GitLab. Macroscope does not support GitLab. Greptile does.
• You need self-hosting. Greptile offers self-hosted deployment. Macroscope does not.
• You want predictable per-seat pricing. If your team prefers a fixed monthly cost per developer, Greptile's $30/seat model is simpler to budget — as long as review volume stays under 50/seat/month.

Migration: Switching Between Macroscope and Greptile

Both tools install as GitHub Apps and can run in parallel during evaluation. You can install Macroscope and Greptile on the same repository and compare their review output side by side on real pull requests.

To try Macroscope:

1. Install at macroscope.com — takes under 2 minutes
2. Push a PR to any connected repository
3. Macroscope reviews automatically — no configuration required
4. New workspaces get $100 in free usage

To try Greptile:

1. Sign up at greptile.com — 14-day free trial
2. Connect your GitHub or GitLab account
3. Greptile indexes your repositories and begins reviewing PRs

Running both in parallel for a sprint is the most reliable way to evaluate Macroscope vs Greptile for your specific codebase and workflow.

Frequently Asked Questions

Is Macroscope better than Greptile for AI code review?

In Macroscope's published benchmark, Macroscope detected 48% of production bugs compared to Greptile's 24% — a 2x difference. Macroscope also reports 98% precision on v3, compared to Greptile's 43% comment acceptance rate. On the metrics that matter most for production safety — detection rate, precision, and false positive rate — Macroscope outperforms Greptile across the board. Greptile's advantages are GitLab support and self-hosting, which are important for specific deployment requirements but do not affect review quality.

How much does Greptile cost compared to Macroscope?

Greptile charges $30 per seat per month with 50 reviews included and $1 per additional review — and overages are counted per-author, not pooled across the team. Greptile's Chat feature (codebase Q&A) costs an additional $20/user/month. Macroscope charges $0.05 per KB reviewed with no seat-based fees — the historical average is $0.95 per review, and Agent is included at no extra cost. For a 10-person team doing 160 reviews per month, Greptile's code review alone costs $300/month (assuming no overages), or $500/month with Chat. Macroscope costs approximately $152/month at the historical average. Costs vary based on PR size and review volume.

Does Greptile catch more bugs than Macroscope?

No. In Macroscope's benchmark of 118 real production bugs across 45 repositories, Macroscope detected 48% while Greptile detected 24% (tested on a 72-bug subset due to access revocation). Greptile publishes its own benchmark claiming 82% recall, but independent third-party re-evaluations found Greptile's actual detection rate closer to 45% on the same repositories — well below Greptile's published claims and still below Macroscope's independently verified 48%. The gap is primarily attributed to Macroscope's AST-based codewalkers, which provide structural code analysis that catches cross-file bugs.

Can I use Macroscope and Greptile together?

Yes. Both install as GitHub Apps and can run on the same repositories simultaneously. Some teams run both during evaluation periods to compare output quality. There are no conflicts — each tool posts its own review comments independently.

Does Greptile support GitLab?

Yes. Greptile supports both GitHub and GitLab. Macroscope currently supports GitHub only. For teams on GitLab, Greptile is the clear choice between the two.

Does Macroscope have a free trial?

Macroscope gives every new workspace $100 in free usage — enough for roughly 100+ reviews at the historical average cost. There is no time-limited trial; the $100 is yours until you use it. Greptile offers a 14-day free trial with no credit card required.

What is Greptile's false positive rate?

Greptile's v4 reports a 43% comment acceptance rate — meaning 43% of comments are addressed by developers. This is not the same as a false positive rate, as some unaddressed comments may still be valid but deprioritized. Macroscope reports 98% precision, meaning 98% of its review comments identify actionable issues.

Can Macroscope auto-fix bugs that it finds?

Yes. Macroscope's Fix It For Me feature creates a fix branch, implements the fix, opens a PR, runs your CI pipeline, and iterates until tests pass. Greptile does not auto-fix bugs directly — its "Fix in X" button sends the issue context to external tools like Cursor, Claude Code, or Codex for fix generation.

Is Greptile cheaper than Macroscope?

In most scenarios, no. Greptile's per-seat pricing appears simpler but is often more expensive. Overages are per-author (not pooled), so teams with uneven PR distribution pay more than the headline math suggests. Greptile's Chat feature costs an additional $20/user/month, while Macroscope includes Agent at no extra cost. For a 10-person team wanting code review and codebase Q&A, Greptile costs $500/month before overages vs ~$152/month for Macroscope at the historical average. Greptile may be cheaper only for very small teams with low, evenly distributed review volumes.

Does Macroscope work with GitLab?

No. Macroscope currently supports GitHub only — including GitHub Enterprise. GitLab and Bitbucket support have not been announced. If your team uses GitLab, Greptile is the option between these two tools.

What is Macroscope's Approvability feature?

Approvability is Macroscope's auto-approval feature for safe pull requests. It evaluates the risk level of each PR and can automatically approve low-risk changes — dependency bumps, typo fixes, simple config changes — without requiring a human reviewer. This reduces PR cycle time for safe changes while keeping human review for complex ones. Greptile does not offer auto-approval.

How does Macroscope's pricing work with AI coding agents?

As AI coding tools (Copilot, Cursor, Claude Code) generate more PRs per developer, seat-based pricing stays the same but usage-based pricing adjusts. With Macroscope, you pay for actual reviews — if agents push 5x more PRs, you pay 5x more for reviews but only for the work done. With Greptile's $30/seat model, the per-seat cost is fixed but the 50-review-per-author cap means heavy agent-assisted workflows quickly incur overage charges at $1/review. Since overages are per-author (not pooled), a single developer using AI agents heavily can blow past their cap while teammates have unused reviews — and those unused reviews cannot be redistributed.