A new paper introduces Tether 2.0, an LLM-based assistant supporting software engineers with ADHD across planning, coding, debugging, and review. It combines structured interaction modes, activity-aware context, and persistent memory to sustain task progression. Evaluation via expert feedback and hands-on use with one ADHD engineer showed support for task decomposition, incremental implementation, and resuming after interruptions.
BetterADHDay is a habit tracker designed for people with ADHD. It uses a gradual unlocking mechanism: users start with one habit and earn more slots by maintaining streaks, preventing the overwhelm that leads to app abandonment. The app is built without LLM features, but the creator also built a separate tool that uses LLMs to generate structured engineering prompts.
BetterADHDay is a habit tracker designed for people with ADHD. It uses a gradual unlocking mechanism: users start with one habit and earn more slots by maintaining streaks, preventing the overwhelm that leads to app abandonment. The app is built without LLM features, but the creator also built a separate tool that uses LLMs to generate structured engineering prompts.
Impetus is an AI-powered productivity coach designed for people with ADHD who struggle to start and finish tasks. Instead of listing tasks, it uses conversational AI to help users get unstuck and take action, addressing executive dysfunction directly.
Impetus is an AI-powered productivity coach designed for people with ADHD who struggle to start and finish tasks. Instead of listing tasks, it uses conversational AI to help users get unstuck and take action, addressing executive dysfunction directly.
Researchers introduce TARS, an LLM-powered agent integrated into Visual Studio Code that adapts code explanations to a developer's expertise, role, and stylistic preferences using a Theory of Mind paradigm. It aims to replace disruptive copy-paste workflows with autonomous, in-editor explanations.
Researchers introduce TARS, an LLM-powered agent integrated into Visual Studio Code that adapts code explanations to a developer's expertise, role, and stylistic preferences using a Theory of Mind paradigm. It aims to replace disruptive copy-paste workflows with autonomous, in-editor explanations.
Clarity is an AI-powered adaptive learning app designed for people with ADHD. It uses LLMs to dynamically adjust pacing, interaction styles, and content delivery based on the user's real-time focus level, reducing cognitive friction caused by rigid productivity tools. The app aims to prevent the cycle of app abandonment common among neurodivergent users.
Clarity is an AI-powered adaptive learning app designed for people with ADHD. It uses LLMs to dynamically adjust pacing, interaction styles, and content delivery based on the user's real-time focus level, reducing cognitive friction caused by rigid productivity tools. The app aims to prevent the cycle of app abandonment common among neurodivergent users.
An arXiv paper proposes the Role Specialization Model (RSM), a framework for coordinating multiple LLM-based tools in agentic software development. The exploratory case study uses Antigravity, Gemini CLI, and Qwen Code under human supervision, addressing the emerging SE 3.0 paradigm.
An arXiv paper proposes the Role Specialization Model (RSM), a framework for coordinating multiple LLM-based tools in agentic software development. The exploratory case study uses Antigravity, Gemini CLI, and Qwen Code under human supervision, addressing the emerging SE 3.0 paradigm.