Teresa wu
VP Engineer at J.P. Morgan, GDE Flutter/Dart
London, United Kingdom
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Teresa is a public speaker, Google Developer Expert (GDE), mentor, and software engineer who is passionate about front-end development and Cloud technology. She has been working with many talented developers to craft various apps and projects throughout the years, and she likes to explore the world of multi-platform, the fun of continuous delivery, and seeing through the product from development to release.
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DevOps for Frontend
DevOps is always known and common for the backend, but it is for both Frontend and Backend development, as it is a collection of sets of tools to accelerate our daily tasks and transfer everything from manual to automation.
However, DevOps for frontend projects is slightly different from Backend, and here in this talk, I will walk you through details of what DevOps means for frontend developers, and how to create a CI/CD pipeline that contributes to improving productively and releasing cycle.
Key takeaways:
- The different types of CI/CD pipeline
- Project design, architecture, and modularisation
- Decouple services and reduce cycle dependencies
- Tool configuration
- Types of pipelines for integration, release, and deployment
- Application versioning and infrastructure management
Gemma: Empowering Front-End Development with Open-Source AI
In this talk, we'll delve into the exciting world of Gemma, a groundbreaking family of open-source AI models by Google. We'll explore how you can leverage Gemma's capabilities to build innovative front-end projects.
Key takeaway:
• Unveiling Gemma: Understand the core functionalities and architectures of these lightweight, state-of-the-art models
• Benefits and Use Cases: Discover the advantages of using Gemma, including its open-source nature, versatility across tasks, and efficiency
• Implementation in Front-End Projects: explore practical methods for integrating Gemma into your front-end applications, unlocking new possibilities for user interaction and functionality
• Gemma vs. Gemini: shed light on the connection between Gemma and its predecessor, the powerful Gemini model, and explore the distinct characteristics of each model, including size, performance, and optimal use cases.
Join this session to:
• Gain a comprehensive understanding of Gemma open models
• Discover how to leverage Gemma's potential in your front-end projects
• Make informed decisions about choosing between Gemma and Gemini for your specific needs
• This talk is ideal for front-end enthusiasts eager to explore the cutting edge of AI and its applications in user-facing experiences
This talk dives into Google's open-source Gemma models, showing you how to integrate them into your front-end projects.
• Learn about Gemma's capabilities and benefits
• Discover how to use Gemma
• Understand the difference between Gemma and its big brother, Gemini
Driving Front-End Innovation with Gemma
This talk dives into Gemma's powerful capabilities and how they can revolutionize your front-end projects.
We'll explore the core of Gemma and then jump straight into a practical project example demonstrating how to integrate and leverage function calls for dynamic user experiences.
Join this session to:
- Understand Gemma
- See project example of Gemma function calls in action
- Discover why Gemma is an excellent choice for innovative front-end AI applications
This talk is perfect for front-end developers eager to integrate cutting-edge AI directly into user-facing experiences with Gemma.
Discover how Gemma's feature empowers dynamic, intelligent user experiences in your front-end applications.
Use AI to accelerate the app release process
Release engineers currently spend 40% of their time manually verifying environment health, creating a bottleneck that forces teams into risky, oversized release batches.
This session presents a transformative roadmap to move AI beyond simple code assistance into the role of an autonomous "Release Pilot".
Attendees will learn how Gemini AI reimagines the entire release lifecycle:
- Intelligent Automation: From semantic PR triage and self-healing CI/CD pipelines to "Intelligent Test Selection" that reduces test suites to the most relevant 5%.
- Predictive Risk Assessment: Replacing subjective "Go/No-Go" meetings with a quantitative "Release Confidence Index" (RCI) based on stability, complexity, security, and observability signals.
- Post-Release Intelligence: Automating stakeholder-specific release notes and using post-release metrics to turn failures into blueprints for future velocity.
We conclude with a pragmatic 90-day migration path—Observe, Advise, and Pilot—designed to build team trust while achieving an 80% reduction in manual release meetings. Join us to discover how to build a release process that isn't just faster, but smarter and self-healing.
This talk introduces an autonomous "Release Pilot" using Gemini AI to transform the delivery lifecycle.
Learn to replace subjective "Go/No-Go" meetings with a quantitative AI Risk Score (RCI) and automate complex tasks like semantic PR triage and self-healing pipelines.
We conclude with a pragmatic 90-day roadmap—Observe, Advise, and Pilot—to turn your release process into a faster, smarter, and self-healing competitive advantage.
Teresa wu
VP Engineer at J.P. Morgan, GDE Flutter/Dart
London, United Kingdom
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