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World Congress 2025 • Aug 20, 2025 • Session details

Boost your coding productivity with Github Copilot Agent

Dr. Alexander Wachtel , Julia Kordick

Stop writing boilerplate. Start orchestrating your architecture. Discover how GitHub Copilot Agent autonomously builds and tests complex features.

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#1 about 3 min

Trends driving AI code generation in software engineering

Industry surveys reveal a massive shift toward adopting generative AI tools for writing and improving code.

#2 about 2 min

Defining the capabilities of an AI coding agent

A coding agent embeds a large language model with tool-calling mechanics to actively evaluate tasks and execute workflows.

#3 about 3 min

Comparing single-shot prompts and multi-agent systems

Multi-agent systems coordinate multiple automated developer personas to handle complex database retrievals and aggregate code rankings.

#4 about 4 min

Navigating the human in the loop developer automation cycle

Developers provide continuous feedback loop constraints to progressively refine AI-generated logic and improve overall software quality.

#5 about 6 min

Generating a new Java API project from scratch

Configuring the environment to outline and build an entire Java workspace handling persona data endpoints from a single prompt.

#6 about 2 min

Evaluating agent code versus standard copy pasting methods

Iterative code generation mitigates the historical pitfalls of inheriting structural bugs from generic online open forums.

#7 about 4 min

Setting up a legacy application migration testing scenario

Prompting the AI to evaluate whether outdated Java source constraints align with existing technical documentation and organizational handbooks.

#8 about 2 min

Configuring model context protocol tools within GitHub Copilot

Integrating third-party server extensions empowers agents to fetch robust external telemetry and formulate complex architectures on demand.

#9 about 4 min

Executing legacy code upgrades and modernizing missing references

The agent autonomously identifies missing endpoint functionality before orchestrating a comprehensive framework update sequence.

#10 about 2 min

Troubleshooting local environments via automated GitHub terminal commands

Copilot directly opens a local shell space to trigger package compilers and automatically resolve emerging formatting compilation exceptions.

#11 about 2 min

Measuring productivity gains from agent-assisted code refactoring

Engineering groups dramatically reduce cycles spent on reverse-engineering codebases or writing boilerplate software documentation logic.

Matching moments

2:11 min

Understanding GitHub Copilot and core developer benefits

lgonta lgonta +1 · WWC 2024

3:23 min

Integrating intent-based code generation and agent implementation

46 sec

Shifting from chat interfaces to autonomous agentic co-piloting

Sergej Reznik Sergej Reznik · Europe 2026 Virtual

1:40 min

Adoption of integrated AI assistants in developer workflows

Julia Wilson Julia Wilson +1 · WWC 2025

3:03 min

Evaluating AI agents for iterative legacy code modernization

Michael Friedrich Michael Friedrich · WWC Europe 2026

51 sec

Impact of AI tools on developer collaboration

Brooke Gazdag Brooke Gazdag · Europe 2026 Virtual

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