Software testing company DeviQA has expanded its professional QA community to over 4,000 engineers worldwide, making it one of the largest independent networks of software testing specialists globally, the firm claimed.
Based in the UK and owned by Devico Solutions, DeviQA was founded in 2010 as a tight-knit group of test engineers, and has grown into a global network of manual testers, automation leads, performance testing engineers, and AI-assisted QA specialists. The company describes it as a private, professional network, “built by QA, for QA”.
“For clients, this means you don’t get one QA engineer, you get thousands of insights behind them,” boasted Dmitry Reznik, the founder and CTO of DeviQA.
He explained that project teams benefit from shared knowledge built from thousands of real test cases, automation templates, and bug patterns.
London-based Reznik pointed out that engineers receive real-time support from community peers when tackling unique edge cases or tool conflicts, and onboarding is accelerated by tapping into the network to assemble domain-aligned teams.
Tools, frameworks, and best practices are continuously battle-tested across hundreds of environments, he added.
Wind of change
This milestone for the company comes at a time when the role of QA teams, particularly in banking and financial services, is undergoing rapid change. As automation and AI advance, QA leaders are rethinking workflows, responsibilities, and the human–machine balance in quality engineering.
Oleg Sadikov, co-founder and CEO of DeviQA, has been vocal about the need to integrate AI without sidelining human expertise.
“AI isn’t going to devour our jobs; it will transform them in ways few anticipated,” he said, pointing to forecasts suggesting that while millions of jobs could be displaced, millions more could be created.
In the context of software testing, Sadikov believes AI can dramatically improve efficiency and broaden coverage. This, he said, frees QA professionals to focus on “more complex, creative objectives and tasks” and creates “a future for QA teams rather than replacing them, at the moment.”
But Sadikov is clear-eyed about AI’s limitations.
“Autonomous testing falls flat when a particular user experience issue needs empathy,” he argued, adding that business context, ambiguity resolution, and human judgment remain essential to quality assurance.
Manual testing still represents a bottleneck for many teams, particularly in financial institutions managing vast, complex systems.
“Nearly every QA team lead would say their team spends the lion’s share of the workday executing repetitive testing routines,” Sadikov continued.
Gartner data shows that 40% of companies are automating parts of their testing process, but Sadikov stresses that much of this remains basic, with teams still rewriting scripts whenever functionality changes.
Sadikov made a case for embedding testing at every stage of the development lifecycle, an approach he calls “quality everywhere.”
“This is a misconception that leads to costly mistakes and poor user experiences,” he said of the belief that quality checks should occur only at the end. “They implement what I call ‘quality everywhere’, a culture where quality is everyone’s responsibility.”
“Autonomous testing falls flat when a particular user experience issue needs empathy.”
Oleg Sadikov
For banks and financial services firms, this shift is not just a best practice but a necessity.
“Agile and DevOps practices require continuous integration and deployment. Without ensuring this, you can’t keep up with further app advancements,” Sadikov warned.
Without a culture of quality, he added, firms risk falling behind on innovation and struggling with insufficient test coverage.
Sadikov advocates for shift-left testing, CI/CD integration, user-centric development, and proactive quality management.
“Developers, designers and product teams prioritize quality from the outset. Collective ownership addresses issues earlier than if the quality was solely the QA team’s prerogative,” he noted. Metrics, real-time monitoring, and open collaboration are also key.
Finally, Sadikov sees the future QA role evolving into that of a “quality coach”, guiding AI systems, shaping testing strategies, and ensuring software quality keeps pace with innovation.
His advice for QA professionals concerned about automation is straightforward: “For those scared by fierce job-taking AI, develop new skills, particularly for operating different AI testing tools, and nothing will replace you in the labour market.”
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