Our intelligent tools detect errors, optimize performance, and provide actionable insights to improve your code.
The Code Security Analyzer uses advanced scanning to analyze your code line by line and detect problems the moment you upload it. It checks for syntax errors, flawed logic, unsafe operations, and patterns commonly found in AI-generated code. Beyond surface-level issues, it uncovers hidden bugs, inefficient structures, and edge cases that could cause failures in real-world use.
Rather than vague warnings, the platform explains each issue in clear language and points to the exact line where it occurs. For every problem, it offers practical, step-by-step suggestions so developers can fix errors quickly and confidently. This turns debugging from a slow, manual task into a guided and efficient process.
Whether you are building a small tool or a large application, automated detection helps ensure your code behaves as expected before it reaches production. The result is cleaner code, fewer crashes, and more reliable releases.
For example, if AI-generated code includes a missing validation check, an incorrect loop condition, or an unhandled promise, the platform highlights the line, explains the risk, and suggests a safer correction. Developers can resolve issues in minutes instead of searching through files.
The Code Security Analyzer helps you catch security flaws before they become real threats. AI-generated code can unintentionally introduce weak points, so the platform scans every file to detect common and advanced risks such as injection attacks, unsafe input handling, insecure API usage, poor access control, and risky configurations.
Each finding comes with a clear explanation of what the issue is, how it could be exploited, and why it matters in real applications. Instead of generic advice, the platform provides step-by-step guidance and safer code examples, so developers know exactly how to fix the problem and prevent it from happening again.
By building security checks into your workflow, you reduce the chance of data leaks, system abuse, and costly incidents after release. This makes security a natural part of development, not an afterthought.
For example, if a query is built using raw user input, the platform flags the risk of SQL injection, explains how an attacker could exploit it, and suggests a parameterized version of the query. If weak authentication logic is found, it highlights the gap and recommends stronger checks.
A before-and-after security report showing critical issues, their severity levels, and how the risk score improves once fixes are applied.
The Code Security Analyzer examines your AI-generated code to find areas that slow down execution or waste system resources. It looks for performance bottlenecks such as inefficient loops, repeated calculations, blocking operations, unnecessary database calls, and memory-heavy patterns that can quietly drag down your application.
Instead of just pointing out slow code, the platform explains what is causing the delay and how it affects real users. You receive practical recommendations to simplify logic, remove redundant work, and use more efficient approaches. Each suggestion focuses on making your code leaner without changing its behavior.
By optimizing early, you avoid performance issues that only appear under load. This helps your applications respond faster, handle more users, and run smoothly even as they grow.
For example, if a loop recalculates the same value on every iteration, the platform flags it and suggests moving the calculation outside the loop. If multiple database queries can be combined into one, it highlights the change and explains the performance gain.
A before-and-after code snippet showing reduced execution time, with notes on which changes led to faster results.
Receive in-depth, comprehensive reports that highlight errors, security risks, performance inefficiencies, and potential pitfalls in your AI-generated code. Each report provides clear explanations of every detected issue, along with practical, step-by-step recommendations to resolve them. By understanding the nature and severity of each problem, developers can confidently apply fixes, track improvements over time, and maintain high-quality, production-ready code.
Screenshot of a report showing detected errors, severity, and suggested corrections.
The Code Security Analyzer provides a clean, easy-to-use dashboard that brings all your projects into one organized workspace. From a single screen, you can access uploaded code, scan results, security findings, and performance insights without switching between tools or searching through files.
Each project displays its current status, recent activity, and key issues at a glance. With just a click, you can open detailed reports, review flagged problems, and track which fixes have already been applied. The dashboard also maintains a full scan history, allowing you to compare results over time and clearly see how your code quality is improving as your project grows.
Designed for both individual developers and teams, the dashboard makes collaboration simple and transparent. Team members can share insights, follow the same reports, and stay aligned on priorities. Clear action items reduce confusion and help everyone focus on what matters most.
For example, a team lead can open the dashboard to instantly see which projects still have critical issues, review recent fixes made by team members, and decide the next steps, all from one screen.
A dashboard showing multiple projects with status labels such as pending, in review, and ready for deployment, along with alerts highlighting critical findings