Dr. Alexander Wachtel, Julia Kordick
Boost your coding productivity with Github Copilot Agent
#1about 1 minute
The growing importance of AI in software development
A Harvard Business Review study shows a significant rise in the use of AI for generating and improving code, moving from low rankings to the top ten.
#2about 4 minutes
Understanding the concept of AI agents in coding
An AI agent is defined as an LLM that can not only answer questions but also perform actions by calling tools and APIs to complete complex tasks.
#3about 3 minutes
How GitHub Copilot iterates with user feedback
GitHub Copilot operates in a continuous loop, analyzing context, generating responses, and refining them based on user feedback to achieve the desired result.
#4about 8 minutes
Creating a new Java project with Copilot agent mode
A live demonstration shows how to use a single prompt in GitHub Copilot's agent mode to scaffold a complete Java 21 project with an API endpoint from scratch.
#5about 6 minutes
Using Copilot to analyze legacy code and documentation
Copilot agent is used to analyze a legacy Java application and its technical documentation, successfully identifying inconsistencies and missing endpoints.
#6about 6 minutes
Upgrading a legacy Java project with the Copilot agent
The agent is prompted to upgrade the legacy Java 11 project to Java 21 and update the corresponding documentation, demonstrating its ability to plan and execute complex refactoring tasks.
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