Automated Essay Scoring (AES) and Automatic Essay Feedback (AEF) systems aim to reduce the workload of human raters in educational assessment. However, most existing systems prioritize numeric scoring accuracy over feedback quality and are primarily evaluated on pre-secondary school level writing. This paper presents Multi-Agent Argumentation and Grammar Integrated Critiquer (MAGIC), a framework using five specialized agents to evaluate prompt adherence, persuasiveness, organization, vocabulary, and grammar for both holistic scoring and detailed feedback generation. To support evaluation at the college level, we collated a dataset of Graduate Record Examination (GRE) practice essays with expert-evaluated scores and feedback. MAGIC achieves substantial to near-perfect scoring agreement with humans on the GRE data, outperforming baseline LLM models while providing enhanced interpretability through its multi-agent approach. We also compare MAGIC's feedback generation capabilities against ground truth human feedback and baseline models, finding that MAGIC achieves strong feedback quality and naturalness.

An application's architecture is frequently refactored after deployment to accommodate its users' evolving needs. However, we currently lack a repeatable, consistent method to teach high-level collaborative design skills. Drawing on the serious play framework, we advance an existing analog exercise for scaffolding collaborative design using a new system: the LLM-managed application overview. From an instructor prompt, the system generates an overview detailing an entire application using CRC cards -- common industry design aids that forego any code or implementation detail. Students individually edit the cards to redesign the application's architecture, while the system simulates the effects of these edits by updating emulated code metrics and estimating redesign cost. Returning to their teams, students discuss the cost and complexity of their designs before selecting and refining a single solution. By the activity's end, the students will have practiced all the design skills necessary for a months-long cycle of development, without the students or the instructor manually managing any implementation details.