The AI code reviewer teams switch to from SonarQube

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.

services/auth/session.py
def validate_session(token: str):
session = cache.get(f"session:{token}")
if session:
return json.loads(session)
return db.query_session(token)

# SonarQube: ✅ No issues found
# All rules pass
macroscope[bot]Bug
Cache poisoning via unsanitized token. The 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.
Valid syntax. Real vulnerability. Pattern matching sees the first. Macroscope sees both.

Why teams turn off SonarQube alerts

Pattern matching at scale generates more noise than signal. Here's what hits a wall.

Most SonarQube alerts get ignored

Pattern matching at scale generates noise. Teams disable notifications or stop reading them. The quality gate exists on paper.

Custom rules require Java or XML

Writing a new SonarQube rule means the Sonar Plugin API, Java code, or XML quality profiles. The configuration itself becomes a maintenance project.

Per-seat pricing at $10–20/dev/mo

SonarCloud costs scale with headcount. At 50+ developers, you're paying for seats regardless of how much code ships.

Scheduled scans run on a delay

Nightly analysis means results arrive after the PR is merged. The bug is already in production by the time you see the finding.

Static analyzer vs AI code reviewer

Same problem. Fundamentally different approach.

SonarQube (static analyzer)Macroscope (AI code reviewer)
AnalysisRegex and AST pattern matchingLLM agents with full codebase context
Custom rulesJava plugins or XML quality profilesMarkdown files in your repo
Pricing$10–20/dev/mo (SonarCloud)Usage-based, no seat fees
TimingNightly or scheduled scansEvery PR open and push
PrecisionHigh false positive rate at scale98% precision (published benchmark)
Languages30+ supported, mostly via plugins8 with deep AST + cross-file reference graphs
SetupSelf-hosted or SonarCloud configGitHub App, 60 seconds
ModelsStatic rule engineClaude Opus, Sonnet, GPT-5

Reads Your Code

SonarQube matches patterns. Macroscope reads code.

Semantic code review

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.

Rules in markdown

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.

Reviews every PR

Inline comments and check runs on every pull request. Block merges on failures, leave advisory comments on the rest. No scheduled scans.

Check run agents

Each config is a markdown file in your repo.

.macroscope/check-run-agents/security-review.md
--- model: claude-opus-4-0-20250514 reasoning_effort: high fail_on: findings --- Review this PR for security vulnerabilities. Focus on SQL injection, auth bypasses, and insecure data handling. Check that user input is validated before reaching database queries. Follow data flow across files — don’t just pattern-match on function names.

Follows data flow across files. Catches injection paths that pattern matching cannot trace.

Benchmark results

Tested against every AI code review tool on the market.

98%

Precision in our published benchmark — highest of any AI code review tool. Highest bug-detection rate across 8 languages.

Read the benchmark results

Used by engineering teams at

Customer logoCustomer logoCustomer logoCustomer logoCustomer logoCustomer logo

Usage-based pricing

Pay for code reviewed, not headcount.

$100

In free usage to get started. No credit card required.

1,000

Free agent credits every month for custom check run agents.

$0

Per-seat fees. Ever. Pricing scales with usage, not headcount.

60s

To set up. Install the GitHub App — no server, no CI changes.

Languages supported

Deep AST-level analysis with full reference graphs for each.

Python
TypeScript
JavaScript
Kotlin
Java
Rust
Swift
Go

Frequently Asked Questions

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.

Check Run AgentsBeyond Static AnalysisAI Code Reviewvs Codacyvs CodeRabbitBenchmark

Ready to Get Started?

Join teams building with Macroscope to catch more bugs and merge PRs faster than ever. Simple usage-based pricing. No seat fees, no surprises.