Macroscope vs DeepSource: Features, Pricing and User Reviews 2026
What are Macroscope and DeepSource?
Macroscope is an AI tool built for engineering teams that work on GitHub. It reviews every pull request, points out real bugs, and writes clear summaries of what changed in the code.
It works by reading code as a graph instead of just plain text, so it understands how files and functions connect to each other. It also connects to tools like Slack, Jira, and Linear for extra context.
Teams can also ask a built in agent questions about the codebase, get weekly reports, and set up simple automations. New users get $100 in free usage to try the product before paying anything.
DeepSource is a platform that reviews your code and helps you fix problems before they cause trouble. It checks every pull request against thousands of rules, then uses an AI agent to catch things that plain rules might miss.
Along with reviewing code, it looks for security bugs, exposed secrets, risky dependencies, and missing test coverage. When it finds a problem, it can suggest or even apply a fix automatically through a feature called Autofix.
DeepSource works with GitHub, GitLab, Bitbucket, and Azure DevOps, and connects to tools like Slack and Jira. It also has an MCP server so AI coding tools such as Claude Code and Cursor can read its reports and fix issues on their own.
There is a free plan for open source projects, a Team plan for paid usage, and a custom Enterprise plan with self hosted options for larger companies.
Features of Macroscope and DeepSource
Automatic pull request reviews with real bug detection
Auto fixes and auto approves safe changes
Codebase mapped as a connected graph
Weekly status digests and commit summaries
Built in agent for Slack and GitHub
Simple automations called Macros
Local CLI and webhook API access
Connects to Jira, Linear, Sentry, and more
SOC 2 Type II certified security
AI powered code review on every pull request
Autofix for one click bug fixes
5,000+ static analysis rules
Secrets and vulnerability detection
Dependency and license scanning
Code coverage tracking
Infrastructure as code checks
Works with GitHub, GitLab, Bitbucket, Azure DevOps
MCP server for AI coding agents
Use Cases of Macroscope and DeepSource
Pricing of Macroscope and DeepSource
Macroscope uses a usage based pricing model instead of one flat monthly fee. You only pay for what you actually use.
Agent: Costs $0.01 per credit, with 1,000 credits included each month.
Code Review: Costs $0.05 per KB of code reviewed, with a 10 KB minimum per review.
Status: Costs $0.05 per commit tracked and summarized.
The Teams plan gives every new account $100 of free usage to try Code Review, Status, and the Agent before paying anything, along with tools to set spend limits.
The Enterprise plan includes everything in Teams, plus discounted pricing for longer commitments, priority support, custom legal agreements, and a SOC 2 Type II report. Enterprise pricing is custom and requires contacting sales.
DeepSource offers a free plan for open source projects, plus paid plans for teams and companies.
Open Source (Free): Unlimited public repositories, unlimited team members, 1,000 pull request reviews a month, and pay as you go AI Review.
Team ($30/user/month, or $24/user/month billed yearly): Unlimited repositories, pull requests, and code formatting, plus AI Review credits, 3 free dependency scan targets, audit logs, and priority support.
Enterprise (Custom pricing): Everything in Team, plus self hosted deployment, single sign on, BYOK for AI Review, and a dedicated account manager.
AI Review is billed by lines of code processed, at $8 per 10,000 lines for Standard and $15 per 10,000 lines for Advanced. A 14 day free trial with up to $50 in AI Review credits is available, and no credit card is needed to start.
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