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#generative ai Book Open access Oct 2026

Designing Constrained AI Assistance for Novice Programmers: Tensions and Hypotheses from a JupyterLab Hint System

A design case study of a JupyterLab addon that delivers Socratic hints instead of direct answers, and six design hypotheses for developers of constrained AI programming assistants, addressing hint escalation, selective dialogue, context granularity, vocabulary calibration, onboarding transparency, and difficulty-aware...

Alexandre De Masi, Chen Wang, Laurent Moccozet · 0 citations
#artificial intelligence Preprint Sep 2026

Constraint-Driven Context Engineering: Designing Domain Interfaces for AI Systems

Constraint-Driven Context Engineering (CDCE), a design approach for engineering domain interfaces for AI systems that identifies and characterises constraints, determines the required context assets, and designs representations through which these assets are made available to AI systems, is proposed.

Xi-Wei Xu, Chen Wang, Meng-Meng Yang et al. · 0 citations

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