AI & the SDLC: Beyond the Hype to a Practical Roadmap
For years, the software development lifecycle (SDLC) has focused on two things: getting faster and improving predictability. We’ve built agile processes, implemented DevOps, and adopted countless tools to accelerate every step. But what if all that effort was just building a faster horse – when what’s really needed is a self-driving car?
Most organizations are only beginning to tap AI’s true potential, often stopping at basic tool adoption.
In this on-demand session, 3Pillar Field CTOs Scott Young and Lance Mohring join Forrester Principal Analyst Devin Dickerson to unpack a clear four-level maturity model for AI integration – showing how to capture near-term value, overcome challenges, and prepare for a fundamentally AI-led SDLC.
What you’ll learn
After watching, you’ll learn how to:
- Understand the four stages of AI maturity and assess where your organization stands.
- Identify high-value, low-risk entry points to introduce AI into the SDLC.
- Balance speed, quality, and governance as you scale AI adoption.
- Rethink engineering roles and processes for an AI-driven development model.
- Build a practical roadmap toward a truly AI-led SDLC.
