Stop ignoring static analysis alerts. AI semantic review with the highest signal-to-noise of any code reviewer. Custom rules in plain English — not Java plugins or XML profiles.
$100 in free usage. No seat fees.
token parameter is interpolated directly into the cache key without validation. An attacker can inject session:* patterns to read other users' sessions. db.query_session also receives the raw token — validate or hash the token before use in both paths.Pattern matching at scale generates more noise than signal. Here's what hits a wall.
Pattern matching at scale generates noise. Teams disable notifications or stop reading them. The quality gate exists on paper.
Writing a new SonarQube rule means the Sonar Plugin API, Java code, or XML quality profiles. The configuration itself becomes a maintenance project.
SonarCloud costs scale with headcount. At 50+ developers, you're paying for seats regardless of how much code ships.
Nightly analysis means results arrive after the PR is merged. The bug is already in production by the time you see the finding.
Same problem. Fundamentally different approach.
| SonarQube (static analyzer) | Macroscope (AI code reviewer) | |
|---|---|---|
| Analysis | Regex and AST pattern matching | LLM agents with full codebase context |
| Custom rules | Java plugins or XML quality profiles | Markdown files in your repo |
| Pricing | $10–20/dev/mo (SonarCloud) | Usage-based, no seat fees |
| Timing | Nightly or scheduled scans | Every PR open and push |
| Precision | High false positive rate at scale | 98% precision (published benchmark) |
| Languages | 30+ supported, mostly via plugins | 8 with deep AST + cross-file reference graphs |
| Setup | Self-hosted or SonarCloud config | GitHub App, 60 seconds |
| Models | Static rule engine | Claude Opus, Sonnet, GPT-5 |
SonarQube matches patterns. Macroscope reads code.
Agents read your entire codebase, follow function calls across files, and build reference graphs. They catch logic errors and cross-file bugs that pattern matching cannot see.
A .md file in .macroscope/check-run-agents/ is the rule. Write what to check in plain English. Each file becomes a check run on every PR. No DSL, no plugin API.
Inline comments and check runs on every pull request. Block merges on failures, leave advisory comments on the rest. No scheduled scans.
Each config is a markdown file in your repo.
Follows data flow across files. Catches injection paths that pattern matching cannot trace.
Tested against every AI code review tool on the market.
Precision in our published benchmark — highest of any AI code review tool. Highest bug-detection rate across 8 languages.
Read the benchmark resultsUsed by engineering teams at




Pay for code reviewed, not headcount.
In free usage to get started. No credit card required.
Free agent credits every month for custom check run agents.
Per-seat fees. Ever. Pricing scales with usage, not headcount.
To set up. Install the GitHub App — no server, no CI changes.
Deep AST-level analysis with full reference graphs for each.
Macroscope isn't a static analysis tool — it's an AI code reviewer that solves the same problem (catching bugs, enforcing quality on every PR) in a fundamentally different way. SonarQube has features Macroscope doesn't cover today (e.g., on-prem deployment, FedRAMP compliance), but most cloud-native teams find Macroscope is a complete replacement for their PR quality workflow.
Macroscope catches more real bugs with far fewer false positives, and custom rules take seconds to write instead of days.
Macroscope has 98% precision per our published benchmark — the highest of any AI code reviewer. SonarQube uses regex and AST pattern matching, which produces significantly more false positives at scale.
Macroscope's AI reads code semantically, so it only flags issues that are real, reachable, and serious. See our benchmark results.
SonarQube quality profiles use XML configuration or custom Java plugins built with the Sonar Plugin API. Macroscope rules are markdown files in your repo describing what to check in plain English.
Drop a .md file in .macroscope/check-run-agents/ and it becomes an agentic check run on every PR. No DSL, no build step, no deployment. See the docs.
Yes, via the Security Review check run agent. It catches vulnerabilities like SQL injection, auth bypasses, and insecure data handling that pattern-matching tools miss — because it understands code flow semantically. See check run agents.
Macroscope is cloud-native and runs as a GitHub App. On-prem deployment is not available today. For teams that need on-prem for compliance, Macroscope can work alongside an on-prem SonarQube installation — Macroscope handles PR review, SonarQube handles compliance scanning.
Macroscope supports Python, TypeScript, JavaScript, Kotlin, Java, Rust, Swift, and Go with deep AST-level analysis and full reference graphs. Each language gets a purpose-built analyzer that tracks function calls, type references, and imports across your entire codebase.
SonarCloud charges $10–20 per developer per month. Macroscope uses usage-based pricing at $0.05 per KB reviewed with no per-seat fees.
Start with $100 in free usage and 1,000 free agent credits every month. Most teams pay less than per-seat tools at the same scale.
About 60 seconds. Install the Macroscope GitHub App and it starts reviewing your pull requests immediately. No server to host, no CI pipeline changes, no quality profiles to configure.
Join teams building with Macroscope to catch more bugs and merge PRs faster than ever. Simple usage-based pricing. No seat fees, no surprises.