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Make your GenAI code rock-solid
GenAI excels at generating small, high-quality pieces of code, but misses the big picture.
Adding the pieces together can lead to reliability, security, or efficiency issues.
Cut tech debt most effectively
90% of tech debt stems from 8% of your code.
CAST SQG shows how to remove it with the biggest bang for the buck.
How SQG works
- Scans application artifacts for all pieces created by GenAI or humans – all source code, data scripts, property files, etc.
- Analyzes and models the inner workings of the whole application, across all layers, regardless of technology mix.
- Pinpoints ISO 5055 rule violations with MRI-like precision and ranks all structural flaws based on impact.
- Recommends remediation path for each flaw, and where to best start tackling technical debt.
Uncover structural flaws
Reliability: Misplaced exception handling, using non-thread safe code, etc.
Security: NoSQL/SQL injections, OS command injections, server-side request forgeries, etc.
Efficiency: Looping web service or messaging calls, unreleased database connections, etc.
Move with speed
Automated measurement of application’s reliability, security, performance efficiency, and maintainability, as per ISO 5055
Identification of hard-to-detect risks and flaws in any complex software system
Reduction in manual effort to address these issues and reduce application’s technical debt
Proceed with confidence
Structural Quality Gate: Ensuring structural integrity after integration stage and prior to production release
Software Acceptance: Fact-based validation of third-party software integrity against contract standards
M&A Due Diligence: Comprehensive, fact-based technical assessments of critical software assets
Compliance Assessments: In-depth evaluations against regulatory and industry standards
Powered by CAST semantic analysis technology for software mapping
“We’ve gained total piece of mind.”
Hyun Sook Ji
CIO
“Minimizes upgrades and testing efforts.”
Alan Capper
Global Exec Applications
