DeviQA has formalized its testing methodology for software developed or modified with AI coding tools such as GitHub Copilot, Claude Code, Cursor, and similar platforms. The methodology brings together practices DeviQA has already been applying across AI-assisted development projects and standardizes how teams assess the additional risks introduced by AI-generated code.
65% of development teams actively use AI coding tools per DeviQA 2026 research.
52% reported an increase in bug volume; 58% saw higher testing workloads.
74% of QA professionals change their approach when code is AI-generated.
Methodology includes independent verification, behavioral impact analysis, and adversarial testing.
Addresses imbalance: cost of producing code falling faster than cost of proving it works.
DeviQA has 16+ years of experience with 300+ QA engineers globally.
Traditional QA practices remain relevant, but AI-assisted development introduces additional failure modes. Generated code can be syntactically correct while carrying incorrect assumptions, incomplete business logic, excessive implementation scope, or hidden dependencies across the system. DeviQA's methodology strengthens several areas of verification: independent verification ensures AI-generated tests are not treated as sufficient proof that AI-generated implementations are correct; behavioral impact analysis determines regression scope by potential impact across workflows, integrations, and dependencies; adversarial testing emphasizes edge cases, unexpected inputs, integration failures, and recovery scenarios; validation of generated tests assesses AI-created tests for business relevance and meaningful assertions; and continuous risk-based verification brings risk assessment closer to development.
"We didn't suddenly start testing AI-generated code differently," said Oleg Sadikov, CEO of DeviQA. "Our teams have been adapting their QA approach as AI became part of everyday development. What we're doing now is turning those proven practices into a consistent, replicable framework. The industry is moving code generation faster than verification can keep pace, and we've learned how to close that gap."
About DeviQA
DeviQA is a global software quality engineering company with 16+ years of experience and 300+ QA engineers. The company helps technology businesses improve release confidence through test automation, performance and API testing, AI/ML and LLM testing, QA process transformation, and dedicated QA teams. DeviQA combines deep engineering expertise with modern testing practices and has helped clients cut regression cycles from weeks to hours, achieve 90-95%+ automation coverage, and support hundreds of production releases across SaaS, healthcare, fintech, and enterprise software.
