What this tool does
The Vibe-Code Stress Tester is built for the new wave of non-developer creators who use AI tools like ChatGPT, Claude, Copilot, and Cursor to generate code for their websites, apps, and automations. You paste in code that an AI wrote for you, and this tool runs it through an expert-level analysis to find three categories of problems: AI hallucinations, security vulnerabilities, and scalability issues.
The result is a Fragility Score from 0 to 100 that tells you exactly how risky your code is. A score of 0 means rock-solid code. A score of 100 means your app is a ticking time bomb. Along with the score, you get a plain-language breakdown of every issue found, what it means, and what to do about it.
AI hallucinations are a particularly dangerous problem in vibe-coded projects. The AI might reference an API method that does not exist, use a library function with the wrong arguments, or invent syntax that looks correct but will fail at runtime. This tool flags those fabricated patterns so you can catch them before your users do.
How it analyzes
**Formula:** \`\`\` Fragility Score = (Hallucination Weight x 0.3) + (Security Weight x 0.4) + (Scalability Weight x 0.3) \`\`\`
The analysis uses AI to evaluate your code across three weighted dimensions:
- **AI Hallucinations (30% weight):** Detects fabricated APIs, non-existent methods, incorrect function signatures, and patterns that look plausible but do not actually work. These are the telltale signs that an AI model generated something from its training data rather than from actual documentation.
- **Security Vulnerabilities (40% weight):** Identifies injection risks, missing input validation, hardcoded credentials, insecure data handling, cross-site scripting opportunities, and other patterns that could expose your application to attacks. Security carries the highest weight because a single vulnerability can compromise your entire application and your users' data.
- **Scalability Issues (30% weight):** Finds patterns that will fail under load, including unbounded loops, missing pagination, in-memory data storage, synchronous blocking operations, and database queries that become exponentially slower as data grows. The tool estimates an approximate breakpoint — the user count or data volume where performance will degrade.
Who should use this
- **Vibe coders and no-code builders**: If you use AI to generate code for your projects and want to make sure it actually works before you ship it, this tool gives you expert-level feedback without needing to hire a developer. - **Solo founders and indie hackers**: When you are building fast and do not have a team to review your code, the Fragility Score tells you where to focus your limited time. - **Students learning to code**: If you are using AI as a learning aid, this tool helps you understand what the AI got right and what it fabricated, accelerating your understanding of real programming patterns. - **Freelancers and agencies**: Quickly audit AI-generated code from contractors or automated pipelines before it goes into production. - **Anyone shipping AI-generated code**: If AI wrote it and real users will depend on it, stress-test it first.
How to use
1. Copy the AI-generated code you want to analyze from your project, IDE, or AI chat. 2. Paste the code into the large code input area at the top of the tool. 3. Select the programming language from the dropdown so the analysis is language-aware. 4. Choose the expected scale of your project, from personal project to enterprise, so scalability analysis is calibrated correctly. 5. Optionally describe what the code is supposed to do, which helps the AI understand intent and catch logic errors. 6. Click the Analyze Code button and wait a few seconds for the AI to complete its review. 7. Review your Fragility Score at the top of the results — aim for below 25 for production code. 8. Read through each hallucination, security issue, and scalability warning for specific details and fixes. 9. Apply the recommendations and re-paste your updated code to verify improvements.
FAQs
Q: What is a Fragility Score? A: The Fragility Score is a number from 0 to 100 that represents how likely your AI-generated code is to break. A score under 25 means the code is solid. Between 25 and 49 means use with caution. Between 50 and 74 means the code is fragile and needs work. Above 75 means the code is critical and should not be deployed without major fixes.
Q: What are AI hallucinations in code? A: AI hallucinations happen when the AI model generates code that references APIs, methods, or syntax that do not actually exist. The code looks correct at first glance but will fail when you try to run it because the AI fabricated parts of it from patterns in its training data rather than from real documentation.
Q: Can this tool replace a professional code review? A: No. This tool provides a useful first pass and catches many common issues, but it is not a substitute for a thorough code review by an experienced developer, especially for production applications that handle sensitive data or financial transactions.
Q: What languages are supported? A: The tool supports analysis of JavaScript, Python, TypeScript, HTML/CSS, PHP, Ruby, Go, and a general-purpose mode for other languages. The analysis is most accurate for JavaScript, Python, and TypeScript since those are the most common languages used in AI-assisted coding.
Q: Does the tool store or share my code? A: Your code is sent to the analysis API for processing but is not stored or shared. The analysis happens in real time and the code is discarded after the response is generated.
Q: How accurate is the estimated breakpoint? A: The estimated breakpoint is an approximation based on common scaling patterns and the specific issues found in your code. Actual breakpoints depend on your infrastructure, database, hosting environment, and traffic patterns. Use it as a general guide rather than a precise prediction.
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