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Deep Analysis for Your
Code Repositories

Repobility scans your repositories for vulnerabilities, quality issues, tech debt, and duplications — then generates precise AI prompts so your coding assistant can fix them automatically.

50+

Languages Supported

75+

Frameworks Detected

135

Security Patterns

8

Quality Dimensions

How It Works

Three steps to better code

1. Connect Your Repo

Link your GitHub, GitLab, Bitbucket, or any Git repository. We support public and private repos.

2. Deep Analysis

Our 48+ analysis services scan every file: security, quality, dependencies, complexity, duplication, and more.

3. Get AI Fix Prompts

Receive precise, copy-paste prompts for Claude, GPT, or any AI coder to automatically fix every issue found.

Comprehensive Analysis Engine

Every dimension of code health, covered

Vulnerability Scanner

OSV/CVE/NVD matching against all your dependencies. Know your exposure.

Credential Scanner

135 regex patterns across 200+ cloud services. Find leaked secrets instantly.

SAST Engine

Taint analysis with 30 rules across 6 languages. CWE/OWASP mapped findings.

Quality Analyzer

8-dimension scoring: structure, quality, docs, testing, practices, security, dependency health.

Dependency Graph

DAG construction, cycle detection, import extraction across 16 languages.

Symbol Extractor

16 parsers for call graphs, inheritance trees, and API endpoint detection.

Duplication Detector

Cross-file duplicate block detection via rolling hash. Eliminate redundant code.

Tech Debt Estimator

Remediation effort in hours, debt ratio, A-E rating for prioritization.

AI-Ready Output

Get the Exact Prompts
Your AI Coder Needs

Every finding comes with a tailored prompt you can paste directly into Claude, ChatGPT, GitHub Copilot, or any AI coding assistant. No more guessing what to ask — we generate the precise context and instructions.

  • Context-aware fix prompts per finding
  • Includes file paths, line numbers, and code context
  • CWE/OWASP references for security fixes
  • Prioritized by severity and impact
AI Fix Prompt for: SQL Injection in auth/login.py:45
Fix the SQL injection vulnerability in auth/login.py at line 45.

The current code uses string formatting to build the SQL query:
query = f"SELECT * FROM users WHERE email = '{email}'"

Replace with parameterized query:
query = "SELECT * FROM users WHERE email = %s"
cursor.execute(query, [email])

This addresses CWE-89 (SQL Injection) and OWASP A03:2021.
Ensure all other database queries in this file use
parameterized queries as well.

Simple, Transparent Pricing

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  • 3 repositories
  • 5 analyses/month
  • Basic code analysis
  • Security scanning
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  • 100 repositories
  • 500 analyses/month
  • Team management
  • SBOM exports
  • API access
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