Macroscope

AI code review, agent orchestration and engineering status updates for GitHub teams

Freemiummacroscope.comUpdated 19 Oct 2026

About Macroscope

Macroscope is an AI platform for software teams that combines automated pull request review, commit-level status reporting and an AI agent that works against a team's GitHub repositories. Its Code Review product reads each change together with the surrounding code, comments inline on GitHub, writes PR summaries, can open fix PRs and can auto-approve low-risk changes. Status turns commits into plain-language summaries, area reports and weekly digests, while the Agent answers questions and takes actions in Slack, GitHub and through an API.

Best for

Teams on GitHub that merge a high volume of PRs, including agent-written ones, and want automated review and visibility into shipped work
Reviewing agent-written PRs: Screening a high volume of AI-generated pull requests for correctness before human review.
Auto-approving low-risk changes: Using Approvability to merge small, safe PRs without waiting on a reviewer.
Engineering status reporting: Giving managers commit summaries and weekly digests of what shipped across repos.
Custom PR checks: Writing markdown-defined Check Run Agents to enforce team conventions on every PR.
Open source maintenance: Applying for free credits to review contributions to a non-commercial project.

Not ideal for

Teams on GitLab or Bitbucket (the documented install path is a GitHub App), or buyers who want a fixed per-seat price

Popular with

Software Engineers
Engineering Managers
Engineering Teams
Open Source Maintainers

Screenshots

Key features

Code Review
Fix It For Me
Approvability
Check Run Agents
Status
Agent
Murmur (beta)
Macroscope CLI

Pros and cons

Pros

Usage-based pricing with no per-seat fee, so cost follows review volume rather than headcount.
$100 in free usage for each new workspace and 1,000 free Agent credits per month.
Reviews use full-repository context rather than only the diff.
Covers review, auto-approval, fix PRs and status reporting under one balance.
Free credits available for qualified non-commercial open source projects.

Cons

Monthly cost is hard to predict up front because it depends on KB reviewed, commits and agent credits.
Documented setup is built around GitHub; no GitLab or Bitbucket support is stated.
Murmur is still in beta.
Benchmark claims of leading detection rates come from the vendor's own MacroscopeBench, not an independent test.

Pricing

Plans as listed by the vendor on 19 Oct 2026. Check their site for current prices.

See macroscope.com

Code Review

Status

$0.05/commit

Commit summaries and engineering status reporting

Commit summaries
areas
weekly digests
productivity stats

Agent

$0.01/credit

AI agent for codebase questions and actions

1,000 free credits per month per workspace
Slack
GitHub
API
Macros

Enterprise

Custom

Contact sales for enterprise needs

Contact [email protected]

Our ratings

Scored out of 10 by the Finder Atlas editorial team.

8.1overall

Ease of Use: 8.2
Feature Depth: 8.4
Value for Money: 7.8
Performance & Speed: 7.9
Documentation & Support: 8.0

Platforms and integrations

Available on

Web
CLI
Slack App
API

Works with

GitHub
Slack
Jira
Linear
BigQuery
PostHog
Amplitude
LaunchDarkly
Sentry

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Release history

Sep 1, 2026
Announced Murmur beta for orchestrating cloud coding agents in isolated sandboxes
Announced Murmur beta for orchestrating cloud coding agents in isolated sandboxes.

Reviews

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Frequently asked questions

How is Macroscope priced?

Usage-based. Code Review is $0.05 per KB of diff reviewed (10KB minimum per review), Status is $0.05 per commit and Agent is $0.01 per credit, with 1,000 free Agent credits per month. There are no per-seat fees.

Is there a free trial?

Every new workspace receives $100 in free usage. Qualified non-commercial open source projects can apply for free credits.

Which source control platforms does it support?

The documented install path is a GitHub App, available from the website or GitHub Marketplace. Support for other platforms is not stated on the pages reviewed.

Does Macroscope train on my code?

The company states that customer code is not used for model training and that it is SOC 2 Type II certified. Named subprocessors include GCP, OpenAI, Anthropic and Slack.

How can I control spend?

Teams can set per-review and per-PR caps, monthly budget limits, repo-level toggles and file exclusions. Default caps are $10 per review and $50 per pull request.

Which languages does it review?

The company says it reviews every language the same way, including Go, Python, Java, Swift, Kotlin, JavaScript, TypeScript and Rust, plus configuration, documentation and scripts, subject to file exclusions.

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