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SkillOpt: Optimizing LLM Behavior with Trainable Skill Documents
Training

SkillOpt: Optimizing LLM Behavior with Trainable Skill Documents

SkillOpt optimizes large language model behavior by iteratively refining natural-language "skill documents" through a propose-and-test loop. It uses an optimizer model to suggest edits, applies them under a bounded textual learning rate, and validates improvements, ensuring robust and portable domain adaptation for even closed-source frontier models.

Generative UI: Revolutionizing AI Agent Interactions Beyond Plain Text
Finetuning

Generative UI: Revolutionizing AI Agent Interactions Beyond Plain Text

Discover Macaron-A2UI, a groundbreaking model that allows AI agents to generate interactive UI elements using a declarative protocol. Learn about its comprehensive corpus construction, A2UI-Bench for structured evaluation, and a two-stage training recipe combining SFT and GRPO to enhance user experience and agent capability.

ProAct: A Proactive AI Assistant Architecture for Anticipatory Computing
Benchmark

ProAct: A Proactive AI Assistant Architecture for Anticipatory Computing

This article delves into ProAct, a proactive AI assistant designed to anticipate user needs and acquire information during idle times. By shifting computation from peak interaction periods, ProAct aims to reduce user effort, accelerate task completion, and improve factual grounding through a closed-loop system of prediction, acquisition, and utility-aware delivery.

LLMs Learn to "Sleep" for Deeper Reasoning
Training

LLMs Learn to "Sleep" for Deeper Reasoning

This article explores how "LLM sleep," an offline consolidation phase, allows hybrid attention-SSM models to improve deep reasoning by iteratively refining fast-weight memories. Inspired by hippocampal replay, this method addresses the computational bottleneck of context eviction, enhancing performance on complex sequential tasks without increasing prediction-time cost.

Missing Paper Content Hinders Accurate Synthesis
Training

Missing Paper Content Hinders Accurate Synthesis

This article highlights the challenges of producing accurate and comprehensive paper summaries when only a title is provided. It emphasizes that a full understanding of research requires complete content, encompassing abstract, methodology, results, and illustrative figures, to ensure an evidence-based synthesis.

How to Inspect and Debug AI Agent API Calls with ccglass
Agentic Systems

How to Inspect and Debug AI Agent API Calls with ccglass

Discover ccglass, a local logging reverse-proxy and web dashboard that provides deep insights into AI agent API requests. Learn how to inspect prompts, tool schemas, message history, and cost data for various coding agents and IDEs, bypassing common proxy limitations.

What is SmallCode? A Terminal-Native AI Coding Agent
AI Coding

What is SmallCode? A Terminal-Native AI Coding Agent

Explore SmallCode, a terminal-native AI coding agent designed to make 8B–35B parameter local language models powerful for programming. Learn about its context budget management, patch-first editing, TODO-driven planning, and interactive TUI, enabling efficient development fully locally.

How FigMirror Automates Publication-Quality Figure Generation
Agentic Systems

How FigMirror Automates Publication-Quality Figure Generation

Learn about FigMirror, a tool that automates the creation of publication-quality figures. Understand its agentic Drawer-Reviewer loop, Grounded Measurement, and Aesthetic Library, and explore its Web UI and skill-only installation modes for coding agents.

How to Give AI Coding Agents Persistent Memory and Context
AI Coding

How to Give AI Coding Agents Persistent Memory and Context

Learn how AI-Memory solves the context loss problem for AI coding agents. This tool provides a persistent, Git-versioned Markdown wiki, enabling cross-agent handoffs, automatic context capture, and project isolation for a truly continuous AI-assisted development workflow.

What is ADHD and How to Use This AI Skill for Broad Ideation
AI Coding

What is ADHD and How to Use This AI Skill for Broad Ideation

Explore ADHD, an AI skill designed to prevent cognitive anchoring by forcing broad ideation through parallel cognitive frames. Learn its two-phase process (Diverge, Focus), installation methods, and practical usage examples for open-ended problems in design and coding.

What is OpenTeam and How to Get Started?
Agentic Systems

What is OpenTeam and How to Get Started?

Discover OpenTeam, a Manifest V3 Chrome extension that reuses your existing AI sessions (ChatGPT, Claude, Gemini, etc.) for multi-agent discussions. Explore its features like instant model comparison, collaborative modes, advisor personas, and local-first storage. Learn how to install it from source and set up CLI control for programmatic interaction.

What is GSD Pi? A Local-First AI Coding Agent for Terminal Users
AI Coding

What is GSD Pi? A Local-First AI Coding Agent for Terminal Users

Learn about GSD Pi, a local-first AI coding agent that operates from your terminal. This article explains its features, how to get started, and practical usage for managing your project lifecycle with milestones, coding sessions, and built-in verification, keeping all state on your machine.