CODE Presents webinar, AI Assisted Software Development - A Practitioner's View

Presenter: John Miller

When: Wednesday, July 9, 2025 12:00pm Central Time (CT)

Duration: 75 minutes (approximately)

AI-assisted software development is revolutionizing the way engineers and businesses approach coding and problem-solving. By integrating intelligent automation, predictive analytics, and generative AI models into development workflows, teams can significantly enhance productivity, reduce errors, and accelerate innovation. AI-powered tools can suggest code improvements, optimize performance, and even generate entire functional blocks, allowing developers to focus on strategic design and complex problem-solving rather than repetitive tasks. Moreover, AI can adapt to evolving development needs, learning from user inputs to refine recommendations over time. As the industry embraces AI-driven coding assistance, we stand at the brink of a transformative era where creativity and efficiency go hand in hand, pushing the boundaries of software engineering to new heights.

This session on AI-assisted software development showcases how artificial intelligence enhances the software engineering process, improving efficiency, accuracy, and innovation. It will cover the following key aspects:

AI-Powered Code Generation & Assistance

• Demonstrations of AI code completion tools like GitHub Copilot.
• How AI suggests optimized code snippets based on context.
• Real-world examples of reducing coding errors and increasing speed.

Automated Testing & Debugging

• Using AI for automated unit tests, regression testing, and bug detection.
• How AI analyzes logs and suggests fixes before deployment.
• Case studies showing improved software reliability.

AI-Driven Project Management & Documentation

• AI-powered task automation for agile and DevOps workflows.
• Generating clear and structured documentation from code.
• How AI assists in backlog prioritization and sprint planning.

Future Trends & Ethical Considerations

• The evolving role of AI in development.
• Risks of bias in AI-generated code and how to mitigate them.
• Best practices for integrating AI tools responsibly.