How AI is Changing the Developer Workflow in Government

The developer workflow is changing faster than most organizations can keep up with. AI isn't just writing code anymore, it's configuring pipelines, reviewing merge requests and automating compliance checks that used to require human intervention at every step. 

For Government agencies, that shift raises a different set of questions:

1. What happens to oversight when agents are doing the work?
2. How do you optimally interact with on-premise AI systems?
3. What does all of this mean for the humans still in the loop?

On August 13th, Liz Burrows spoke with Joel Krooswyk, former Federal CTO at GitLab and longtime public sector technology practitioner, about where developer workflows are headed, what he's hearing in the field and what it actually takes to make AI work when you can't rely on cloud connectivity or SaaS AI systems.

In this episode, we covered:

• How developer workflows are changing
• Compliance, humans in the loop and agents for critical stages of the SDLC
• Why agencies are hosting their own models and what that enables
• Artifact management in disconnected environments
• Flexibility for SLED buyers with GovRAMP & GitLab Dedicated for Government
• Where DevSecOps is headed and what's still missing