When Software Becomes Everyone's Job
Last year, in our session Ship Code Without Writing It, we spoke about how AI was changing the way developers move from an idea or ticket to working code.
This year, the story has moved beyond individual developers. Across our organization, we have seen AI-assisted development evolve from a productivity boost for engineering teams into a larger shift in how software gets imagined, built, validated, and taken to production.
In this session, we will share our experience of how development teams, business teams, and quality teams started using AI in different parts of the software creation journey. We will talk about what changed when business users became more active participants in building internal tools, how engineering teams adapted to this shift, and why quality became even more important when software started moving faster.
We will also share practical lessons from scaling this approach to 100+ production applications, including what worked, what surprised us, and where human judgment still matters.
The session is not about AI replacing engineers. It is about how their roles are evolving as AI changes the speed, ownership, and structure of software delivery.
Key Takeaways:
AI-assisted development is moving beyond developer productivity and changing how software is imagined, built, validated, and delivered.
Business teams are becoming active participants in software creation, not just requirement providers.
Engineers are not being replaced, their roles are evolving toward platforms, guardrails, validation, and governance.
When software starts moving at AI speed, quality needs to shift earlier into requirements, prompts, workflows, test cases, and review loops.
About the speaker
Gurleen Kaur:
Gurleen Makkar is a Senior AI Software Engineer at Piramal Finance, working on Generative AI products and enterprise AI adoption. Her work focuses on creating AI-powered solutions that help teams simplify complex workflows, improve productivity, and bring business ideas closer to working software. She has worked across AI-assisted development, agentic AI workflows, internal productivity tools, and business-focused AI applications. Her interests include using AI for everyday work such as slides, documents, spreadsheets, and research, as well as applying AI to larger enterprise problems like process automation, business operations, and reimagining customer and loan journeys. At Piramal Finance, Gurleen has contributed to initiatives that help business and technology teams collaborate differently in the AI era.
Keerthivasan Devaraj:
Keerthivasan is a Senior AI Software Engineer at Piramal Finance, working on building practical Generative AI solutions for enterprise and everyday business use. His work focuses on how AI can help teams move faster from ideas to usable software, automate repetitive workflows, and rethink how internal tools are created. He has worked across AI-assisted development, agentic workflows, business-led app creation, and AI tools for everyday productivity such as presentations, documents, spreadsheets, and research. He is especially interested in how AI can be applied beyond developer productivity to solve real business problems, improve decision-making, and reimagine enterprise workflows such as loan journeys, internal operations, and business processes. His focus is on building AI systems that are not just technically impressive, but practical, reliable, and adopted by real users.
About
TestMu Conf
Testμ (TestMu) is the world’s largest virtual conference on agentic engineering and quality, built by the community, for the community. As AI reshapes how we build, test, and ship software, Testμ Conf is where you connect, grow, and lead: agentic workflows, autonomous quality, battle-tested AI playbooks, hands-on workshops, and the engineering culture driving it all.
More Sessions
Join the builders, testers, and innovators shaping the next generation of web experiences.
Testμ Conf 2026 is where they meet.
