Dover News Now

Software Testing Company Belitsoft Reports How AI Is Changing QA in 2026

 Breaking News
  • No posts were found

Software Testing Company Belitsoft Reports How AI Is Changing QA in 2026

August 17
23:28 2026

Alexandria – August 17, 2026 – Belitsoft, a global AI consulting and development company with offices in North America and Europe, reports that AI now plays a central role in how software is built and tested. The engineer progresses from writing test scripts to guiding system design and interpreting results.

This shift is expected by 87% of respondents, according to Perforce’s 2026 State of DevOps report. Early adopters report 9X faster generation of test cases, 70-80% less test maintenance, and improved coverage.

More code written by AI means more work to validate that code. Various surveys report that in many enterprises, AI now creates more than half of all code. 61% of teams report more demand for testing. Legacy scripts are not built to catch the edge cases and inconsistencies that are by-product of AI-generated code. Agentic artificial intelligence systems are tackling this by taking a testing objective, creating the methodology, running the tests, and providing conclusions. Gartner predicts that by the end of 2026, 40% of all enterprise applications will be infused with these agents. The QA role is now to oversee these systems, rather than to run tests.

Annual penetration testing is no longer relevant for products deployed daily. Vulnerabilities are introduced by AI-generated code at a pace comparable to or higher than that of human-written code, and their introduction into production is accelerated by increased code volume. 30% of companies allowed AI to perform penetration tests without human supervision in 2025. That number fell to 9% in 2026. 78% of organizations say fully automated AI screening solutions miss critical vulnerabilities.

“Unlike human testers, artificial intelligence cannot reliably understand business logic, attacker intent, or application context,” Dmitry Baraishuk, the Chief Innovation Officer at Belitsoft, explained. “The best practice is to use a hybrid approach: automation to identify known issues – and human testers to review the results and identify subtle attack paths.”

Seven in ten companies say the maturity of their DevOps impacts their success with AI to a great extent. High-maturity organizations are embedding AI across the software delivery lifecycle at 72%, compared with 18% for low-maturity organizations. AI testing tools should be part of CI/CD pipelines. Without this connection, teams experience delays in feedback and blind spots in quality coverage.

Testing is no longer a one-time event at the end of the development process. 55% of QA teams now value quality analytics over test execution. Nowadays, 53% of engineers write tests during the development process. About 40% of QA teams are becoming Quality Engineering teams that own environments, pipelines, and data. 77% of businesses feel confident about the results of AI, but only 39% of organizations have complete automated audit trails, which is a significant governance gap.

Instead of fighting AI, the best practice is to intentionally embrace it, focusing on coverage over volume, embedding security at every step, reinforcing your DevOps foundations, and deliberately upskilling your workforce. AI-generated tests still need to be judged for commercial relevance by a human, so your team’s judgment is more important than ever. Security and QA always need to be in sync, and security can no longer be a separate step. Without CI/CD integration, the best AI tools are ineffective. The jobs themselves are also evolving: QA is morphing into AI Quality Analyst, LLM Evaluation Engineer, and AI-augmented Test Designer. The capabilities that got you here will not be enough to keep you competitive going forward.

If you are concerned about the impact of AI on quality or whether your testing practices are keeping pace with AI-generated code, a top software testing partner can evaluate where you stand and develop a clear, step-by-step plan to move forward with confidence.

About the author

Dmitry Baraishuk is a Partner and Chief Innovation Officer at Belitsoft. Belitsoft is a software engineering company specializing in DevOps, AI integration, and enterprise application modernization. The company serves healthcare, fintech, and enterprise SaaS clients in the US, UK, and Canada. Belitsoft publishes technology trend analyses to help business and technology leaders make informed decisions about software investment.

Media Contact
Company Name: Belitsoft
Contact Person: Dmitry Baraishuk
Email: Send Email
City: Alexandria
State: VA
Country: United States
Website: https://belitsoft.com/

Categories