- MLOps North
- Toronto Summit
- Presented by TMLS
Coding Agents & Dev Workflows
About the track
This track is for senior and mid-level engineers putting models into production, with legacy codebases, token budgets that aren’t unlimited, and a healthy skepticism of the hype.
We’ll cover;
- Coding agents on complex codebases, legacy systems, and rebuilds
- The code review bottleneck when agents write faster than teams can review, and the review gates and decision trails that hold
- Secure AI-assisted development. How top-performing teams treat credentials, dependencies, permissions, and what agent-written code must pass before it merges.
- AI-assisted MLOps, meaning infrastructure, architecture, and ops work, not just application code
- You’ll leave knowing where your own practice sits against the top percentile, and the specific things to change to close the gap so you can embrace this new era of development.
Track host
Founder TMLS, MLOps World
See Track Lead Profile
David Scharbach is the founder of the Toronto Machine Learning Society (TMLS) and MLOps World, two of the largest community-driven gatherings focused on machine learning in production. Over the past decade, he has organized more than a hundred summits, workshops, and micro-events, bringing together tens of thousands of practitioners, researchers, and business leaders to share real-world, no-fluff lessons on deploying and operationalizing ML and AI systems.
David’s work centers on building open, practitioner-first spaces where teams can candidly compare notes on what actually works in production, from infrastructure, cost management, and ROI to agentic systems and AI sovereignty. As track lead, he draws on that community perspective to curate sessions grounded in real case studies and hard-won operational lessons.
Toronto Summit · Presented by TMLS · Nov 5–6, 2026 · RBC WaterPark Place, TorontoThe people building agents, and the people building with them – one room, on the Toronto waterfront. Two days of practitioner-curated talks on what actually ships: the stack underneath agentic systems, and the products, workflows, and agents teams are running in production right now.