Your Copilot can’t do this: deploy AI Engineers across 1,000 repos at once

Imagine hiring AI software engineers that can work on hundreds of repositories at once, able to tackle CVE remediation, migrations, and standardization across your entire codebase at once.

Hiring AI software engineers is the critical leverage engineering leaders need to achieve step-change outcomes, not just a 10% performance bump. In this session we’ll show you how to onboard AI software engineers into your organization that are capable of working across hundreds or thousands of repositories simultaneously. Each AI software engineer gets its own secure ‘laptop’ with guardrails for security and can be triggered to perform code review, raise pull requests or respond to events, fixing issues whilst your engineers are asleep.

Join Matt, Ona’s head of engineering and former engineering manager of developer experience at Cloudflare. Matt has seen the pain of large-scale migrations, standardizing organizations at scale, and applying CVE mitigation across thousands of repositories. Joining you as host is Lou, Field CTO at Ona, and former Principal Engineer of developer experience at DAZN where he led large-scale migrations firsthand.

We'll discuss:

• Why individual productivity tools hit a ceiling and what comes ‘next’
• How AI software engineers work on thousands of repositories simultaneously
• How to achieve step-change impacts with organization-wide automation
• How this new frontier of AI software engineers transform your SDLC
• Honest perspectives on what works and what's still hard today with agents

Through customer stories, live demonstrations, and candid discussion, you'll walk away understanding exactly how hiring AI software engineers can impact your organization.

Who should attend? Engineering leaders looking for leverage points to achieve outsized results with AI in software and not just incremental productivity gains.