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Relia | Visualize Code Flow & Detect Risky Logic

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May 18, 2026

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About Relia | Visualize Code Flow & Detect Risky Logic

TL;DR

Relia provides a visual auditing layer for developers using AI-generation platforms, helping them map out complex code logic and spot security flaws before deployment. As tools like Bolt and Lovable enable rapid development cycles, they often generate sprawling file structures that are difficult to review manually. Relia addresses this by generating clear execution maps that trace how data flows across multiple files, highlighting critical gaps like unvalidated inputs or broken redirection logic. While traditional linters focus on syntax, this tool emphasizes the broader architecture, making it easier to catch integration bugs that LLMs frequently overlook. Its Chrome extension integrates directly with popular browser-based editors, allowing for a quick transition from code generation to logic verification without the need for manual file exports. By visualizing the often opaque nature of AI-produced code, Relia acts as a functional safety net, ensuring that the speed of automated development doesn't come at the cost of structural integrity. It is particularly useful for teams who need to verify the underlying mechanics of an application they didn't write line-by-line.

Use Cases

Real-world scenarios where Relia | Visualize Code Flow & Detect Risky Logic saves time.

Use Case 1: Auditing AI-Generated Web Applications

Problem: Tools like Bolt and Lovable generate complex multi-file structures instantly, making it difficult for developers to manually verify how data moves through the system.
Solution: Relia generates a visual execution map that traces data flow across files and functions, allowing developers to see the complete architecture at a glance.
Example: A developer uses the Chrome extension to visualize the login flow in a Lovable project, ensuring the AuthContext correctly updates state across the dashboard.

Use Case 2: Identifying Logic and Security Gaps

Problem: AI models may skip critical security steps like input re-validation or proper error handling in cross-file execution paths.
Solution: The tool performs a logic flow analysis to highlight vulnerable paths, such as unvalidated user inputs or broken redirection logic.
Example: Identifying a 'vulnerable' tag on a payment processing path where user-controlled amounts are not re-validated before being sent to the payment gateway.

Use Case 3: Onboarding to Legacy AI Codebases

Problem: Taking over or maintaining a codebase built primarily through 'vibe coding' or AI prompts often results in a 'black box' where the underlying logic is unknown.
Solution: Relia builds a dependency and execution tree to explain how decisions and data are connected, providing fix prompts for AI tools to address identified issues.
Example: A senior engineer uses the system health scan to map out an existing React project's dependencies and secrets before adding new features.