LetMeCheck.ai

LetMeCheck.ai is an AI-powered code analysis platform that helps developers, CTOs, and tech leads assess code quality through comprehensive security, performance, and scalability checks with GitHub integration.
https://letmecheck.ai/?ref=producthunt
LetMeCheck.ai

Product Information

Updated:Jul 9, 2025

What is LetMeCheck.ai

LetMeCheck.ai is a sophisticated code quality analysis platform born from 15 years of code review experience. Founded by Joel, a fractional CTO, the platform serves as an automated solution for evaluating codebase health before critical decisions like hiring agencies, merging pull requests, or pitching to investors. It transforms complex code analysis into actionable insights that both technical and non-technical stakeholders can understand, making it an invaluable tool for maintaining high-quality code standards.

Key Features of LetMeCheck.ai

LetMeCheck.ai is a comprehensive code quality analysis platform that helps developers, CTOs, and tech leads assess and improve their codebases. It offers automated security vulnerability detection, performance analysis, and scalability testing with AI-powered fix suggestions. The platform integrates with GitHub repositories and provides detailed severity dashboard reports, making it easy to identify and address code issues before they reach production.
Automated Security Scanning: Identifies security vulnerabilities like XSS, SQL injection, and authentication flaws through automated code analysis with each Git push
AI-Powered Fix Suggestions: Provides ready-to-implement solutions for detected issues, with varying levels of coverage based on subscription plan
Performance & Scalability Analysis: Examines code for performance bottlenecks and scalability concerns, offering optimization strategies and architectural improvements
Customizable Rules Engine: Allows teams to configure custom rules aligned with their internal coding guidelines and practices

Use Cases of LetMeCheck.ai

Startup Code Assessment: Helps startups evaluate their codebase quality before pitching to investors or scaling their platform
Agency Code Review: Enables companies to verify code quality before hiring development agencies or merging external contributions
Continuous Quality Monitoring: Supports development teams in maintaining code standards through automated Git-triggered scans and regular reports
Security Compliance: Assists organizations in ensuring their code meets security standards and identifying potential vulnerabilities early

Pros

Easy GitHub integration with simple setup process
Comprehensive analysis covering security, performance, and scalability
AI-powered fix suggestions save development time

Cons

Limited repository support in free and lower-tier plans
Some advanced features only available in higher-priced plans

How to Use LetMeCheck.ai

Connect GitHub Repository: Link your GitHub repository through their secure OAuth integration. Free plan allows 1 repo, Vibe-Coder supports 3 repos, and Startup plan supports up to 10 repositories.
Wait for Automated Analysis: The system automatically scans your code using industry standard tools to examine patterns, vulnerabilities, and performance implications. Analysis covers security, performance, and scalability aspects.
Review Analysis Findings: Access the severity dashboard report that categorizes issues by importance. Free users can view top 3 issues per category, while paid plans provide comprehensive analysis of all detected issues.
Implement AI-Generated Fixes: Review and apply AI-suggested solutions to your codebase. Free plan includes 1 AI fix per category, while Vibe-Coder and Startup plans offer AI fixes for all detected issues.
Monitor Ongoing Analysis: For Vibe-Coder and Startup plan users, each Git push triggers automatic code analysis for continuous quality monitoring. Review automated email reports to stay updated on code quality.

LetMeCheck.ai FAQs

LetMeCheck.ai analyzes code for scalability, performance, and security issues. It scans for security vulnerabilities like XSS and SQL injection, identifies performance bottlenecks, tests scalability, and provides AI-powered fix suggestions.

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