Coding Agent Evals 101

Coding Agent Evals 101 As coding agents become part of everyday development, understanding how to evaluate them is quickly becoming a core skill. This March, AI Native Dev London dives into the fundamentals of coding agent evaluations, from why evals matter, to how they’re designed, and how they work in real-world systems. Join us for a practical, engineering-led session on measuring agent behavior, building confidence in agentic workflows, and learning how teams evaluate coding agents in production today. Agenda 18:00 Venue opens 18:30 Talk 1: Coding Agent Evals 101: From Design to Real-World Examples by Max Shaposhnikov 19:00 Talk 2: TBC - Coming soon 19:30 Networking 20:30 THE END Coding Agent Evals 101: From Design to Real-World Examples I’ll be giving a talk on designing evaluations for coding agents. We’ll look at the unique challenges that come up when evaluating agentic systems in general, and coding agents in particular, along with the practical approaches we use today. I’ll explain why evals are becoming essential both for agent builders and for developers who rely on coding agents day to day, and how they help you build using agents with confidence. I’ll also share concrete use cases we solve at Tessl and how we measure end-to-end success with our own evaluation platform. Max Shaposhnikov, Research Engineer at Tessl Maxim is an AI Research Engineer at Tessl, where he is pioneering AI code generation through a Spec-Driven Development approach. He previously worked as an Applied Scientist at Amazon, focusing on pre-training multimodal LLMs for products such as the Alexa voice assistant. Beyond hands-on research and engineering, Maxim enjoys teaching machine learning, breaking down complex concepts into simple explanations, and building innovative projects for fun. This event is brought to you as part of the AI Native Dev Community. Consider subscribing to the Mailing List, Podcast, and joining our Discord Community