Show HN: OpenCode Mentor - An anti-vibecoding, programming mentor configuration (github.com)

OpenCode Mentor is a newly announced configuration designed to enhance software development learning by leveraging AI. Unlike traditional coding tools that prioritize rapid output, this system aims to cultivate independent problem-solving and reasoning skills in learners. At its core is "Rob," a mentor orchestrator that identifies and assigns tasks to specialist agents, promoting a structured learning approach with elements like diagnostics, hints, and deliberate practice. The configuration is continually evolving and emphasizes the importance of human mentorship, positioning AI as a supportive tool rather than a replacement for traditional education. This initiative is significant for the AI/ML community as it embodies a shift towards more interactive and pedagogically sound AI applications. With elements such as custom agent roles—including a mentor, reviewer, architect, and drill instructor—OpenCode Mentor encourages a thorough understanding of software development concepts while allowing learners to progressively assume more responsibility. Key features include runtime learner states for personalized feedback, context-aware tools, and a focus on fading assistance as competence grows. By embedding structured pedagogical strategies into the AI framework, this project holds the potential to redefine how coding education can be approached in the age of AI.