We’ve partnered with Augment to bring you a series of exclusive live sessions with engineering leaders who have successfully applied AI to their workflows. They won’t just be talking theory, but walking you through real production code and answering questions so that you can take real ideas back to your own organization.
Each session will dive into a different area of the software development lifecycle, showing off the numerous ways AI tools and agents can be applied to improve engineering outcomes.
Over the course of this series, you will learn:
- 🧠How to apply AI for context-aware software development
- 📈 Practical frameworks for measuring AI tool ROI
- 🧑💻Hands-on examples of applying AI tools, agents, and MCP servers to various engineering problems
Register for the series
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Sessions
Session 1: How Tilt’s Review Bot transformed its code reviews
Date & time
17:00
Watch James Garrett build a comprehensive knowledge base alongside a rigorous testing process, allowing before/after PR comparisons for any rule changes.
What you’ll learn:
- How Tilt improved first-time PR approval rates
- How to build a knowledge base using AI
- Testing strategies for AI development
Session 2
Date & time
17:00
Watch Dan Van Tran build AI agents to tackle actual production challenges
What you’ll learn:
- Demonstrating real production data on AI tool effectiveness across different engineer skill levels, Dan will share his evaluation methodologies
- How to scale AI adoption across large teams
- How to apply AI to modernize legacy codebases
Session 3
Date & time
17:00
Watch Angela Daniels tackle a complex multi-step API endpoint that requires deep codebase understanding. She will walk you through how they do context-aware development at DXC.
What you’ll learn:
- The importance of context awareness, including handling context limitations in large codebases
- How to establish production rule files and implementation patterns
- Enterprise adoption strategies with real ROI data.
Session 4
Date & time
17:00
Witness live front-end development workflows to mentor junior developers.
What you’ll learn:
- How to use AI to scale engineering excellence, particularly leveraging context-aware tools to help senior engineers mentor junior developers.
- How to utilize context-aware tools for code review and guidance
- Tactics for scaling engineering excellence through AI tools
Session 5
Date & time
17:00
Watch Matt Seashore make enterprise-scale architecture decisions using AI assistance.
What you’ll learn:
- Legacy system integration challenges and AI solutions.
- Complex system debugging and troubleshooting workflows
- Leveraging AI tools for technical mentorship.
- How to handle enterprise constraints like security, compliance, and legacy systems in AI implementation.
