Yunhao Jiao
CEO and Co-Founder
Seattle, Washington, United States
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Founder & CEO: Yunhao Jiao, a Yale University graduate with a master’s degree. He has nearly five years of experience at AWS, where he served as a Senior Software Engineer. During his time at Amazon, he played a crucial role in building the Contract Tests framework for AWS CloudFormation, ensuring that resource types operated as expected throughout their lifecycle. Since 2015, Yunhao has been actively involved in NLP research, publishing his first AI paper as the lead author in 2017. He also contributed to education as the Chinese High School Artificial Intelligence Textbook editor. After his tenure at Amazon, Yunhao founded TestSprite and participates in the Techstars Miami and YC China accelerator programs.
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Supercharging Startup CI/CD Pipelines with Autonomous AI Testing
In the relentless pursuit of rapid software delivery, startups and small development teams often face the challenge of balancing speed, quality, and limited resources. Without dedicated QA personnel, ad-hoc testing methods become the norm, resulting in missed bugs, bottlenecks, and post-deployment issues that drain time and energy.
Yunhao Jiao, Founder & CEO of TestSprite and former Senior Software Engineer at AWS, will explore how autonomous AI testing enables teams to maximize efficiency with minimal resources. By embedding AI testing into CI/CD workflows, teams can eliminate bottlenecks, ensure code quality, and focus on delivering value.
This session will cover:
-Lean Testing Workflows: Identifying key bottlenecks in resource-constrained CI/CD pipelines and practical ways to address them.
-AI Testing Made Simple: How autonomous AI testing tools act as an “autopilot,” reducing manual effort while increasing accuracy and reliability.
-Seamless Integration: Step-by-step guidance for embedding AI testing into existing workflows with minimal disruption.
-Real-World Impact: Stories of startups reducing manual testing by 90% while accelerating deployment cycles.
What Attendees Will Learn:
-Streamlined Solutions: Recognize inefficiencies in manual testing and learn how to implement scalable, low-overhead AI-driven testing practices.
-Faster Deployments: Use autonomous AI tools to accelerate releases without sacrificing quality or adding technical debt.
-Lean Metrics: Track performance improvements with KPIs tailored for resource-limited teams.
From Co-Pilot to Autopilot: Automating Quality Assurance for GenAI-Generated Code
As AI continues to augment software development, ensuring the quality and reliability of AI-generated code is a top priority. This session explores how autonomous AI testing tools are evolving from co-pilot assistance to full autopilot capabilities, enabling seamless end-to-end testing without human intervention. To bring this transformation to life, the session features live coding, demonstrating how AI agents can identify bugs, generate tests, and maintain compliance effortlessly in real time.
Yunhao Jiao, Founder & CEO of TestSprite, will share actionable insights into leveraging AI-driven tools to boost developer productivity and scale testing workflows efficiently. Attendees will also learn how to transform testing into an automated, scalable process that integrates seamlessly into DevOps pipelines. Through real-world use cases and patterns, this talk delivers actionable strategies for achieving robust code integrity and accelerating devt cycles in GenAI-driven environments.
From Co-pilot to Quality Gatekeeper: Elevating Code Integrity with Autonomous AI Testing
As AI co-pilots and coding assistants become integral to software development, ensuring the integrity of AI-generated code is paramount. This session explores the evolution from AI-assisted coding to autonomous AI testing, emphasizing the role of AI as a quality gatekeeper.
Yunhao Jiao, Founder & CEO of TestSprite and former Senior Software Engineer at AWS, will discuss:
-Leveraging AI in Development: How AI tools accelerate coding tasks and enhance developer productivity.
-Challenges of AI-Generated Code: Identifying potential issues such as hidden bugs and logic inconsistencies.
-Implementing Autonomous AI Testing: Strategies for integrating AI-driven testing tools to ensure rigorous quality control.
Attendees Will Learn:
-Enhancing Code Quality: Techniques to supplement AI coding tools with autonomous testing to catch subtle errors early.
-Mitigating Risks: Strategies to address limitations of AI-generated code and prevent logic-based bugs.
-Optimizing Development Workflows: Methods to integrate autonomous testing into the development lifecycle, achieving higher quality code efficiently.
This session will help attendees gain a comprehensive understanding of how to balance the speed of AI-assisted development with the reliability of autonomous AI testing, ensuring robust and maintainable codebases.
Yunhao Jiao
CEO and Co-Founder
Seattle, Washington, United States
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