Are you tired of writing boilerplate code and wrestling with massive pull requests? The software development lifecycle is full of friction, but AI is actively shifting the paradigm. In this session, we move beyond basic generative chatbots and explore how to build resilient software architectures that maximize the potential of AI DevSecOps tools.

Join this session to learn how to seamlessly integrate AI into a professional engineering workflow. We will dive into:

Rapid Scaffolding: Using the Antigravity CLI to instantly generate clean, modular initial codebases, bypassing repetitive setup.

Redefining TDD: Utilizing Gemini Code Assist to generate failing test cases and identify crucial edge cases before writing the implementation logic.

Next-Gen CI/CD Pipelines: Architecting GitHub Actions workflows that leverage LLM APIs to automatically summarize Pull Requests and perform smart static analysis.

The AI-Resilient Architect: Why clean architecture, clear contracts, and isolated state management are more crucial than ever to ensure predictable AI generation.

Whether you are a student preparing for the industry or a developer scaling enterprise apps, you will leave this session with actionable strategies to automate the predictable and focus your energy on complex system design.

This session will be delivered at IntelliShift Summit event
https://intellishift.fcai.cu.edu.eg/