Student Project Rescue

​Rescue serves as an active development partner and AI-native project recovery platform built to rescue student projects before a deadline. ​The Problem: Towards the end of a project lifecycle, students often face incomplete features, broken APIs, missing tests, poor project structure, and unclear priorities, where the hardest part is understanding what needs to be fixed first. ​The Solution: By feeding the system a real student codebase (via ZIP upload or GitHub repository), the platform turns project chaos into an actionable rescue plan. ​The Rescue Engine: The intelligence behind the workflow operates across four clear stages: ​01. Understand: Maps the real codebase by analyzing repository structures, source files, dependencies, APIs, components, and configurations. ​02. Identify: Detects implemented, broken, and missing functionality. ​03. Prioritize: Considers impact, blocking status, dependencies, requirements, deadlines, and risk factors. ​04. Verify: Relies on type checking, tests, builds, API checks, and regression checks to ensure evidence beats assertion. ​Core Loop and Experience: Rather than overwhelming the student with a chaotic list, the workflow guides them through structured phases—Analyze, Prioritize, Fix, and Verify—one task at a time. Every rescue cycle ends only when a change is real, replacing manual investigation and confusion with verified progress and clear, actionable steps.