
Safe PRs get approved for you
Approvability auto-approves low-risk pull requests. Across customers, 40% of PRs are auto-approved, so your team only reviews what needs a human.
AI writes code. We review it. Macroscope is the independent GitHub Copilot code review alternative: it catches real bugs, suggests the fix, auto-approves 40% of PRs across customers, and answers questions about your codebase in Slack.
Macroscope is usage-based: you pay per review, not per seat. Start with $100 in usage credit.
SOC 2 Type II compliant. Installs on GitHub in under five minutes.

Trusted by engineering teams







On Martian's Code Review Bench, 78.5% of Macroscope's review comments matched a change the developer actually made. For GitHub Copilot it was 67.4%.
That is precision. Higher precision means your team spends less time on comments that go nowhere, which is how a reviewer stays switched on.
IndependentMeasured by Martian's open-source Code Review Bench on real pull requests, not by us.
The share of review comments that matched a change the developer actually made. Higher means fewer false alarms.
MacroscopeBench, our code review benchmark, is how Fireworks' Specialized Intelligence Index scores frontier models on code review.
We publish a code review leaderboard for frontier models, scored on real bugs from open source repositories.
Copilot can write the code, open the pull request as a coding agent, and then review that same pull request. That is one assistant on both sides of the review. Useful as a first pass. It is not a second opinion.
When the assistant that wrote the diff is also the one reviewing it, the blind spots are shared. An incorrect assumption made while writing is unlikely to be caught while reading.
Macroscope reviews the pull request as an outside party, then acts on what it finds instead of only commenting.
Install the GitHub App and Macroscope starts on your next pull request. Setup takes under five minutes.

Approvability auto-approves low-risk pull requests. Across customers, 40% of PRs are auto-approved, so your team only reviews what needs a human.

Every pull request gets a clear summary of what changed and why, written into the description automatically.

Mention @Macroscope in Slack and get answers grounded in your code, PRs and git history.
Not the same product. Keep Copilot for writing code, and add an independent reviewer for Copilot PR review.
A broad AI coding assistant, with code review as one feature inside it.
AI code review on every pull request, from outside the system that wrote it.
Something to build with, and something independent to check it. Macroscope runs alongside Copilot on the same repository. Read the full Macroscope vs Copilot breakdown.






About $0.95 per pull request review, on average. Your bill tracks how much code you ship, not how many people are on the team, which matters more as coding agents open more pull requests per developer.
GitHub Copilot is priced per developer seat. The cost is predictable per person, and the same whether a developer opens one pull request a week or fifty.
No sales call and nothing to migrate. Macroscope starts on the next pull request you open.
Choose your repositories. Setup takes under five minutes, and you do not need to remove Copilot first.
Comments land inline on the pull request, with a suggested fix. Low-risk PRs can be auto-approved.
Then $0.05 per KB of diff reviewed, with no seat fees. Set a monthly spend limit whenever you like.
SOC 2 Type II compliant. Read our Trust Center, Privacy Policy and Terms of Service.
Keeping your data secure is of paramount importance to us. We have rigorous technical, operational and contractual safeguards in place to protect customer data.

Visit our Trust Center to request copies of our audited documentation.
All customer data is encrypted at rest and in transit.
Customer Code is architecturally isolated and secured by design. None of our employees can access your source code.
Macroscope does not train models using your source code, and our agreements with model providers ensure they do not train using your IP.
Yes. Macroscope is a dedicated AI pull request review tool for GitHub, and it runs alongside Copilot or instead of Copilot code review. On the independent Martian Code Review Bench (read 7 October 2026), 78.5% of Macroscope's review comments matched a change the developer actually made, against 67.4% for GitHub Copilot. Fewer false alarms means fewer comments your team learns to ignore.
Yes. A common setup is to keep Copilot for writing code in the editor and as a coding agent, and add Macroscope as the reviewer on every pull request. Both are GitHub-native, so Macroscope installs as a GitHub App in under five minutes and starts reviewing new pull requests straight away, with nothing to remove first.
Independence. When the same assistant writes the change and then reviews it, the review shares the assumptions the change was written with. Macroscope did not write the code, so it reads the pull request as an outside party. It can also act on what it finds: Approvability auto-approves low-risk pull requests (around 40% of pull requests across customers), and Check Run Agents enforce your own rules as GitHub check runs that can block a merge. Copilot code review leaves comments rather than approving or blocking.
GitHub Copilot is priced per developer seat. Macroscope has no seat fee: it is usage-based at $0.05 per KB of diff reviewed, with a 10 KB minimum per review, and the average review costs about $0.95. New workspaces start with $100 in usage credit, so you can run it on your own pull requests before paying anything.
No. Macroscope integrates directly into your existing workflow and is designed to complement your existing tools. Once installed, Macroscope will automatically start summarizing PRs and leaving code review comments directly on GitHub.
Yes. Product managers, engineering managers, customer success teams, and executives use Macroscope to stay informed about what's changing in their product and codebase.
All of them. Macroscope reviews pull requests in every language, so there is no list to check your stack against. Commit and PR summaries, project tracking, and productivity insights work across every language too.
Macroscope is used by startups and enterprise engineering teams alike, from 5-person teams to 100+ engineer orgs.
Teams can get up and running in under 5 minutes. Install the GitHub app, connect Slack (optional), and you're ready! New customers get $100 in usage credit so you can get going right away. It's usage-based, so you only pay for the code you review. Macroscope immediately begins analyzing open PRs and backfilling recent code activity.
Yes. Macroscope installs as a GitHub app and reviews every pull request automatically, posting comments inline the moment a PR opens. Unlike a rules-based bot, it builds a graph of your entire codebase first, so it comments on bugs that matter instead of pattern-matching on style.
Macroscope is usage-based and averages around $0.95 per review. You pay per pull request reviewed, not per developer seat, so your cost tracks how much code you actually ship rather than how many people are on the team. New teams start with $100 in usage credit.
Linters and static analysis match patterns inside a single file. Macroscope builds a graph-based representation of your whole codebase using Abstract Syntax Trees, so it catches bugs that span files, functions and services, which is the class of bug a linter structurally cannot see. It also means far fewer false positives, because it can tell whether a suspicious line is actually reachable.
Yes, and it is the main reason teams adopt it. When Copilot, Cursor or a coding agent writes most of a pull request, the bottleneck moves from writing code to reviewing it. Macroscope reviews AI-written PRs the same way it reviews human ones, and around 40% of pull requests end up auto-approved so engineers only look at what genuinely needs a human.
Both, depending on how you use it. As an AI code review platform it reviews every pull request, writes PR summaries, and gives engineering leaders a view of what is shipping. Most teams start with automated PR review on GitHub and adopt the rest later.
Traditional code quality tools score a snapshot of your repository against fixed rules, which is useful for tracking coverage and style but rarely catches a real bug. AI-powered code review reasons about the change itself, in the context of the codebase around it, and tells you what will break. Teams generally keep both: one for hygiene, one for correctness.
Not yet. Macroscope currently supports GitHub, and GitLab and Bitbucket are on the roadmap. If you are on either one, book a demo and we will let you know when support lands.
Join teams building with Macroscope to catch more bugs and merge PRs faster than ever. Simple usage-based pricing. No seat fees, no surprises.