
Generated Interfaces Need A New QA Discipline
Runway’s Solaris points to a future where interfaces are generated in real time. Useful idea — but only if QA learns to verify behavior, not just pixels…
Profound Academy is an AI-native platform for hands-on computer-science course creation, teaching, and assessment, launched Sept 3 2026 on Show HN, that turns a course idea, syllabus, or learning objectives into editable modules, lessons, learning paths, coding labs (starter code + public tests + hidden tests + custom checkers), SQL exercises, multiple-choice and checkbox questions, written exercises, projects, quizzes, exams, AI graders, rubrics, partial scoring, and translations. The AI Course Builder edits everything in chat, the AI Assistant helps students find mistakes faster and guides them without revealing solutions, the AI Checker auto-grades proofs and long-form answers, and a live-coding IDE lets teachers watch students type, debug, and submit work in real time. Profound hosts 100-300 hands-on exercises per course (5-10x a typical university), surfaces similarity and work-history signals for academic integrity review (instructor makes the final call), and runs cheating detection against both peer collusion and AI tools like ChatGPT. Pro is $20/month with 20 AI credits and unlimited host-courses-and-students; new accounts receive credits to try the builder; the platform already supports 10,000+ learners and 100+ teachers and is positioned for instructors, bootcamps, schools, and universities.
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