Repository-based code analysis
Connect a GitHub repository and run an automated scan that returns a diagnostic-style report on the codebase.
LetMeCheck.ai
LetMeCheck.ai is an AI-assisted code analysis platform for founders, startups, SMBs, and developers. It connects to a GitHub repository, scans for security, performance, scalability, and code quality issues, and returns a diagnostic report with recommendations.
Overview
LetMeCheck.ai is an AI-assisted code analysis platform that checks a repository for security, performance, scalability, and code quality issues. The site positions it as a “health checkup” for a codebase, meant to surface hidden risks before they become production problems.
The workflow shown on the homepage starts with connecting a GitHub repository, then running analysis in a secure sandbox and returning a detailed report with issue severity, recommendations, and AI-generated fixes. The product is aimed at founders, startups, SMBs, and development teams that want a clearer view of code health without relying on manual review alone.
Core capabilities
Security vulnerability detection
Identify security issues such as XSS, SQL injection, and authentication flaws before they reach production.
Performance and scalability analysis
Surface performance bottlenecks and scalability concerns so teams can address speed and growth risks earlier.
Severity reporting
Generate prioritized severity reports with email and download options so findings are easier to review and share.
Fix recommendations
Provide AI-powered fix suggestions, including one fix per category on the free plan and broader coverage on paid plans.
Privacy-focused analysis workflow
Run in secure, isolated environments on SOC2 Type II compliant agent servers, with no code retention after analysis.
Common use cases
Pre-production code review
Use the platform before release to check for vulnerabilities, quality issues, and risk areas that may be missed in manual review.
Growth-readiness assessment
Run a repository scan when an app starts to grow so you can spot performance or scalability constraints early.
Security risk triage
Review a codebase after security headlines or suspected risk to identify issues like injection flaws or authentication weaknesses.
Reporting for technical and non-technical stakeholders
Share the severity report with a team or stakeholder when you need a concise summary of code health and next steps.
Issue remediation planning
Use the recommendation output as a starting point when you want AI-generated fixes or help from a developer to implement them.
Pros and Cons
Pros
- Covers multiple dimensions of code health, including security, performance, scalability, and code quality.
- Provides a report with prioritized severity and actionable recommendations rather than only raw findings.
- Includes AI-powered fix suggestions for detected issues.
- States that scans run in secure, isolated environments and that code is not stored after analysis.
- Offers both a DIY path and a developer-assisted option for teams that want help implementing fixes.
Cons
- The pricing page returned a 404 in the collected sources, so pricing and plan details are not fully visible.
- The provided sources do not include a complete supported-language list or a full integrations catalog beyond GitHub references.
- Several FAQ items are shown on the site, but their answers are not included in the collected text, so some product details remain unclear.
FAQ
What is LetMeCheck.ai?
LetMeCheck.ai is an AI-assisted code analysis platform that reviews a GitHub-connected repository and generates a diagnostic-style report. The site describes it as a health checkup for your codebase, focused on catching bugs, vulnerabilities, and code quality issues.
How does the scan work?
The site says the scan works by connecting a GitHub repository, then running analysis in a secure sandbox. It then produces a detailed health report with issue severity and recommendations.
Can I get help implementing the recommendations?
The homepage and FAQ area indicate that LetMeCheck.ai can analyze repositories and provide recommendations, with a note that users can also hire a developer to implement fixes. The support page specifically mentions repository analysis setup, GitHub integration, and understanding results.
Which integrations and languages are supported?
The source mentions GitHub integration and permissions, but it does not provide a full list of supported integrations beyond that. It also includes a question about supported languages, but the specific language list is not shown in the provided text.
Is my source code stored after a scan?
The contact and about pages state that source code is not stored after analysis, and the homepage says code is never stored or retained after analysis. The site also says it uses SOC2-compliant agent servers and isolated environments for analysis.
Quick Facts
- Category
- Developer Tool
- Primary users
- Founders, startups, SMBs, and developers
- Input
- GitHub repository connection
- Output
- Diagnostic code health report with severity and recommendations
- Security posture
- SOC2 Type II compliant agent servers; zero code storage after analysis
- Website
- letmecheck.ai
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