This course begins by introducing OpenCode and its powerful capabilities for AI agent integration. Learners start with environment setup, understand how to interact with live codebases, and explore foundational concepts like permissions, rules, and agent guidance. Early lessons focus on building confidence through practical exercises and high-value architectural decisions. As participants progress, they explore specialized agent usage, ethical deployment practices, and local LLM integration. Practical modules like vibe engineering and hands-on challenges reinforce real-world application, allowing learners to test and refine AI agent workflows. The course encourages experimentation while maintaining transparency and control. The concluding modules guide learners through problem-solving exercises, applying learned techniques to manage, refactor, and scale codebases. By course end, participants will have mastered AI-driven development processes, enabling them to deploy reliable, repeatable, and efficient agent workflows across projects with confidence.