Building AI-Augmented Software Teams
How intent-driven development and agentic AI are reshaping the SDLC
Event Details
- March 11, 2026
- Sessions: 3:00–5:30 PM
- Happy Hour: Starting at 5:30PM
About the Event
In this Victory Square Session, we’ll explore the shift from a traditional, code-centric SDLC to intent-driven, AI-augmented software delivery, where specifications become the source of truth, developers act as validators, and agentic systems take on meaningful execution work.
Based on around our AI-Augmented SDLC methodology, this session focuses on what actually changes when AI becomes a first-class member of the team, not a bolt-on tool. We’ll unpack how high-performing teams combine strong engineering foundations with agentic workflows to move faster without sacrificing quality, security, or maintainability.
Design the Team, Not Just the Tools
Build AI-augmented teams where AI participates in delivery and engineers focus on judgment and validation.
Make Intent the Durable Asset
Treat intent and specifications as the source of truth that guides both humans and AI.
Apply Agentic AI Across the Lifecycle
Use agentic AI across planning, development, testing, and operations to increase throughput safely.
Clarify the Human–AI Boundary
Keep judgment and accountability human while delegating repeatable work to AI.
Why Participate
TITLE
Matt Walnock
AI strategy & applied examples
TITLE
Matt Walnock
AI strategy & applied examples
TITLE
Vlad
Engineering implementation
How AI Fits into the SDLC
Intake / Requirements
- Problem framing
- Faster discovery
- Better signal early
- Example: Socratic Sciences
Code Review & Standards
- AI-assisted review
- CI/CD integration
- Consistent standards at scale
Testing & Automation
- Intelligent regression
- Continuous QA
- Reduced release risk
- Reduced release risk
Agenda & Schedule
- 3:00 – Doors Open
- 3:30 – AI in Intake & Requirements
- 4:00 – Code Review & Testing
- 5:00 – Discussion + Q&A
- 5:30 – Happy Hour
