Uploaded June 2026 | Updated September 2026, 1 week ago
When AI Starts Shipping Code: Managing the Collision Between Human and AI-Generated Code
AI agents don't wait for reviews. They generate code overnight, work across the same codebase in parallel, and produce more changes than any human team can realistically process — creating a new kind of bottleneck we call the Merge Wall.
In this session, Perforce engineering leaders break down what happens when human and AI-generated code collide at scale — and how leading teams are building the visibility, governance, and coordination layers required to keep up.
You'll learn:
-What the Merge Wall is and why scaling AI agents makes it worse before it gets better
-How centralized version control handles AI-native delivery differently than distributed systems like Git
-How the Perforce engineering team uses P4 for their own agentic workflows — including agent coordination, adversarial review, and test-driven development with AI
-What provenance, traceability, and governance look like when agents are contributing across the entire software delivery life cycle
-What autonomous controlled software delivery looks like in practice
🔔 Subscribe for more from Perforce on AI execution, DevOps, and enterprise software delivery.
👀 Get the rest of the webinar series: perforce.com/resources/events/webinar/perforce-innovation
Learn More & Follow Us:
➡️ perforce.com
➡️ linkedin.com/company/perforce
When AI Starts Shipping Code: Managing the Collision Between Human and AI-Generated Code
AI agents don't wait for reviews. They generate code overnight, work across the same codebase in parallel, and produce more changes than any human team can realistically process — creating a new kind of bottleneck we call the Merge Wall.
In this session, Perforce engineering leaders break down what happens when human and AI-generated code collide at scale — and how leading teams are building the visibility, governance, and coordination layers required to keep up.
You'll learn:
-What the Merge Wall is and why scaling AI agents makes it worse before it gets better
-How centralized version control handles AI-native delivery differently than distributed systems like Git
-How the Perforce engineering team uses P4 for their own agentic workflows — including agent coordination, adversarial review, and test-driven development with AI
-What provenance, traceability, and governance look like when agents are contributing across the entire software delivery life cycle
-What autonomous controlled software delivery looks like in practice
🔔 Subscribe for more from Perforce on AI execution, DevOps, and enterprise software delivery.
👀 Get the rest of the webinar series: perforce.com/resources/events/webinar/perforce-innovation
Learn More & Follow Us:
➡️ perforce.com
➡️ linkedin.com/company/perforce
