● Powered by MiMo V2.5 Pro

AI Code Review & Security
Analysis Platform

Catch vulnerabilities, enforce standards, and ship secure code 10x faster — powered by deep reasoning and multi-model analysis.

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M+ PRs Analyzed
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Vulnerability Types
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% Detection Accuracy
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Languages Supported
Interactive Demo

See It In Action

Paste code or upload a file to see MiMo's analysis engine find vulnerabilities and suggest fixes in real-time.

📁 Code Upload
🔍 PR Review
🛡️ Security Scan
📂

Drop your codebase or paste a file

or click to analyze sample Node.js API project

Supported: JS, TS, Python, Go, Rust, Java, C++, Ruby • Max 500MB
🔀

PR Review Engine

Click to review sample pull request with 23 changed files

GitHub, GitLab, Bitbucket • Auto-inline comments
🛡️

Deep Security Scanner

Click to scan sample e-commerce backend for vulnerabilities

OWASP Top 10 • CWE/SANS 25 • Custom rules

Analysis Complete

✓ Scanned
Platform Capabilities

Built for Engineering Teams

Every feature designed around real dev workflows — not static analysis checklists.

🔍

Deep Reasoning Review

MiMo V2.5 Pro traces data flow across files, catches logic bugs that linters miss — race conditions, null dereferences, off-by-one errors.

Long-chain reasoning
🛡️

Vulnerability Detection

OWASP Top 10, CWE/SANS 25, and 148 vulnerability patterns. SQL injection, XSS, SSRF, insecure deserialization — caught before merge.

148 patterns
📊

Code Quality Gates

Enforce complexity limits, dependency audits, and test coverage thresholds. Auto-block PRs that violate team standards.

CI/CD native
💬

Inline Suggestions

AI-generated fix suggestions as inline PR comments. One-click apply, with explanation of why the fix works.

GitHub/GitLab
🧠

Context-Aware

Understands your entire codebase — not just the diff. References existing patterns, shared utilities, and team conventions.

Full repo context
⚡

API & SDK

REST API with OpenAI-compatible SDK. CI plugins for GitHub Actions, GitLab CI, Jenkins. One-line integration.

5-min setup
Real Impact

Use Cases & Results

🏦 FinTech Security Audit

Banking platform processing $2B+ monthly needed automated security review for 200+ microservices. Manual review took 3 days per PR.

94%
Vulns caught
3→0.2 days
Review cycle
$1.8M
Breach cost avoided

🛒 E-Commerce Platform

High-traffic marketplace with 50+ developers pushing 80 PRs/day. Code quality was degrading, security incidents increasing.

78%
Fewer bugs in prod
4min
Avg review time
$340K
Dev time saved/yr

🏥 Healthcare SaaS

HIPAA-compliant platform needed SOC 2 audit trail for every code change. Manual compliance review was a bottleneck.

100%
Audit coverage
SOC 2
Ready in 2mo
$520K
Compliance cost cut

🎮 Gaming Studio

AAA studio with C++/Rust codebase, 2M+ LOC. Memory safety issues causing crashes in production builds.

89%
Crash reduction
340
Memory bugs fixed
$1.2M
Saved on hotfixes
Architecture

How It Works

🔀

PR Opened

Webhook triggers

→
🧠

MiMo Analyze

Deep code reasoning

→
🔍

Issues Found

Vulns + quality

→
💬

Inline Comments

Fix suggestions

→
✅

Approved

Safe to merge

Developer Experience

One-Line Integration

review.py
import mimo_code as mc

# Initialize with your MiMo API key
client = mc.Client(api_key="mimo-...")

# Review a pull request
result = client.review_pr("github.com/org/repo/pull/42")

# Results include vulnerabilities + suggestions
print(result.vulnerabilities) # [Vuln(SQL_INJECTION, severity=critical)]
print(result.suggestions) # 12 inline fix suggestions
print(result.security_score) # 72/100

# Scan entire codebase
scan = client.scan("./src", rules="owasp-top-10")
for issue in scan.issues:
    print(f"{issue.severity}: {issue.message}")