Pavel Makhov
Pavel is a Staff Software Developer and open-source enthusiast with over a decade of experience, primarily in Java. Beginning his career at the birthplace of the World Wide Web, CERN in Switzerland, Pavel has since worked in various companies, gaining expertise across a wide range of technologies. His interests span Linux, macOS/iOS development, and open source, reflecting his passion for exploring and mastering diverse technological landscapes.
Montreal 2027 sessions
Building a Company-Wide AI Coding Harness on Top of OpenCode
English session - Beginner
Rolling out an AI coding agent takes more than installing a CLI. I'll show how far OpenCode's remote config, plugins, and skills go in an enterprise setup: one-command onboarding, layered configs, and a shared plugin monorepo. I'll explain how we set agent permission defaults, manage model access, and track cost and usage through telemetry. You'll leave knowing exactly what OpenCode provides and what your team needs to build.
Code Execution with MCP: Production Architecture Case Study
English session - Beginner
Building AI agents on top of REST APIs sounds straightforward: turn each endpoint into an MCP tool. But as APIs grow, tool definitions and responses crowd the model's context. MCP as Code offers another way: let agents discover APIs, write code to call them, and filter results before they reach the model. This case study explores how semantic search and sandboxed execution make that work, and where the approach helps or adds complexity.
