Are you tired of writing boilerplate unit tests? Do code reviews and deployment pipelines feel like massive bottlenecks? We all love building features, but the friction of the software development lifecycle often slows down our velocity.

In this session, we move past the hype of generative AI chatbots and focus on something highly practical for engineers: using AI as your ultimate DevSecOps co-pilot.

Join me as we explore how to seamlessly integrate AI into your daily Android development workflow to eliminate repetitive tasks and increase code reliability. We will dive into:

Redefining the TDD Loop: How to use AI tools like Gemini Code Assist to generate failing test cases upfront, identifying crucial edge cases before you even write the implementation.

Next-Gen CI/CD Pipelines: Architecting robust GitHub Actions workflows that leverage AI APIs to automatically summarize Pull Requests, perform smart static analysis, and categorize crash logs.

Live Open-Source Demo: Watch these concepts in action on a real Android repository ('My Tasks'). We will go from a blank IDE screen to a fully tested, AI-reviewed Pull Request in minutes.

Whether you are an indie developer or scaling a large enterprise team, you will leave this session with actionable strategies to code less, test better, and ship your Android apps faster and safer.

This session has been provided at Build with AI.
https://gdg.community.dev/events/details/google-gdg-helwan-presents-build-with-ai-2/