CRA.ai

Developer creates a new branch for a new feature.

Developer commits code changes and creates a pull request.

CRA.ai automatically analyzes the code changes in the pull request.

CRA.ai generates a code review report with identified issues and suggestions.

Developer addresses the issues and pushes updated code.

CRA.ai re-analyzes the code and updates the report.

Once all issues are resolved, the pull request is approved and merged.

CRA.ai is configured to scan the entire codebase.

CRA.ai analyzes the code for security vulnerabilities, such as SQL injection and XSS.

CRA.ai generates a report with identified vulnerabilities and their severity.

Security team reviews the report and prioritizes vulnerabilities for remediation.

Developers fix the vulnerabilities and commit the changes.

CRA.ai re-scans the codebase to verify that the vulnerabilities have been resolved.

Team defines code style guidelines and configures CRA.ai to enforce them.

Developer commits code changes that violate the code style guidelines.

CRA.ai automatically identifies the code style violations and generates a report.

Developer fixes the code style violations and commits the changes.

CRA.ai re-analyzes the code and verifies that the code style guidelines are followed.

CRA.ai analyzes the code for performance bottlenecks, such as inefficient algorithms and memory leaks.

CRA.ai generates a report with identified bottlenecks and suggestions for optimization.

Developers review the report and implement the suggested optimizations.

Developers profile the optimized code to verify that the performance bottlenecks have been resolved.

CRA.ai analyzes the optimized code to confirm that there are no new performance bottlenecks.

Changes are deployed to production after thorough testing.

CRA.ai scans the legacy system codebase to identify areas of high complexity and potential technical debt.

CRA.ai generates a report summarizing the technical debt, including code complexity metrics and potential issues.

The development team prioritizes areas of the codebase to refactor based on the report.

Developers refactor the code and commit the changes.

CRA.ai re-analyzes the code to measure the reduction in technical debt.

The process is repeated iteratively to gradually reduce technical debt.

Configure CRA.ai with the relevant coding standards ruleset (e.g., MISRA C).

CRA.ai analyzes the code for compliance violations against the selected ruleset.

CRA.ai generates a detailed report of all violations with severity levels.

Developers address the violations and make necessary code changes.

CRA.ai re-scans the code to verify compliance with the coding standards.

Generate compliance reports for auditing and regulatory purposes.

CRA.ai scans the codebase for identical or near-identical code blocks.

CRA.ai generates a report listing the duplicated code blocks and their locations.

Developers review the report and identify opportunities to refactor the duplicated code into reusable functions or modules.

Developers refactor the code to eliminate the duplication.

CRA.ai re-scans the codebase to verify that the duplication has been removed.

New code contributions are automatically checked for code duplication.