The Agentic Software Factory That Enterprises Actually Need
The first wave of developer AI focused on helping individuals write code faster. The next wave is where agents transform the entire software delivery lifecycle. But enterprises have different needs. They do not simply need more code generated faster. They need an agentic software factory that operates with quality, control, reliability, and accountability at scale.
That takes more than deploying coding agents. Enterprises must be able to modernize large, complex codebases, ensure consistent standards across thousands of repositories, validate AI-generated changes, manage security and compliance requirements, resolve production issues, and determine whether increased AI usage is producing better engineering and business outcomes. The goal isn't tokenmaxxing. It’s outcome-maxxing.
This session brings together leaders building different layers of the emerging agentic software engineering stack to examine what it takes to move from isolated coding copilots to a connected, enterprise-grade engineering system. The discussion will explore how organizations can introduce greater automation while maintaining visibility, governance, reliability, trust, and human oversight.
Attendees will leave with a clearer view of what an enterprise-ready agentic software factory looks like, which parts of the lifecycle are ready for deeper automation, and what enterprises must put in place before they can trust agents to build, change, and operate critical software.
About the speaker
Heena Purohit:
Heena is the Director of AI at Microsoft for Startups, where she focuses on discovering and supporting the world’s most promising Data and AI startups, and helping them succeed by partnering with the Microsoft ecosystem. Prior to that, she spent 15+ years building and scaling Enterprise AI products. She launched and scaled multiple AI products from 0 to 1 and was incubating a portfolio of GenAI startups at IBM’s Corporate incubator program. Outside work, she is dedicated to promoting gender diversity in AI and building the AI-powered future responsibly. She is a global AI speaker and a leading advocate for AI literacy, responsible AI, and gender diversity in technology, working to ensure we’re building the AI-powered future responsibly.
Chase Norton:
Itamar Friedman:
Patrick Vuong:
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.
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