End-to-End App Delivery with AI Coding Agents
Delivered a hands-on workshop across two engineering colleges as part of Build //localhost: Mangaluru – College Edition, helping students move beyond AI chat experiences into modern software engineering workflows powered by GitHub Copilot and AI coding agents.
Participants followed a complete end-to-end development journey, starting from an empty terminal and progressing through application scaffolding, code generation, context management, containerization, deployment preparation, and cloud-ready delivery workflows. Rather than focusing on prompt engineering alone, the workshop demonstrated how GitHub Copilot CLI can function as an autonomous engineering partner throughout the Software Development Lifecycle. [meetup.com]
The workshop focused on three key outcomes:
Introducing students to the Agentic SDLC, where AI assists with planning, implementation, debugging, and pull request workflows. [meetup.com]
Demonstrating how containerization artifacts and deployment manifests can be generated and refined using AI-assisted development practices.
Equipping attendees with a practical, repeatable engineering workflow that could be immediately applied in hackathons, student projects, and open source contributions.
Community Impact:
Helped bridge the gap between academic programming and real-world engineering by enabling students to experience modern AI-native development workflows, GitHub Copilot CLI, automated development practices, and cloud deployment concepts through an interactive, build-along workshop.