🤖 Game AI - CWhiting · Scour

Who embraces AI in play? Exploratory modeling of player preference profiles toward game AI 💪AI Power Users

Harness Engineering: The Architecture Layer That Makes AI Agents Actually Work in Production 🧠Context Engineering

mindwiredai.com·10h·r/PromptEngineering, r/SideProject

Abstract Machines for Logic Programs 💬LLM Prompting

chrisistyping.bearblog.dev·4d·Lobsters, Hacker News, r/programming

Show HN: Statewright – Visual state machines that make AI agents reliable 💻Coding Agents

news.ycombinator.com·17h·Hacker News

Dragon Quest creator hopes players treat in-game AI companions as 'friends' | ScreenHub: Film, TV, Streaming and Games 💪AI Power Users

screenhub.com.au·2d

Sony CEO Hideaki Nishino sees AI as a 'powerful tool' for PlayStation 🤖AI Technology

shacknews.com·5d

How the Pathfinding in Dark Souls works 🎮Game Engine Architecture

youtu.be·2d·r/Games

Build Long-running AI agents that pause, resume, and never lose context with ADK 🧠Context Engineering

developers.googleblog.com·1d·Hacker News

D100 NPC Personalities 🎲Tabletop RPG

drivethrurpg.com·6d

How AI Is Transforming the Architectural Visualization Workflow 🎯Generative Design

archdaily.com·1d

How to save everyone in Directive 8020: Best ending guide 📋AGENTS.md

destructoid.com·1d

Amplification to Synthesis: A Comparative Analysis of Cognitive Operations Before and After Generative AI ✨Generative AI

Show HN: Statewright – Visual state machines that make AI agents reliable 🤖AI Coding Tools

github.com·1d·Hacker News

Learning Transferable Latent User Preferences for Human-Aligned Decision Making ✨Generative AI

Unweighted ranking for value-based decision making with uncertainty 🏆LLM Benchmarking

Learning to Communicate Locally for Large-Scale Multi-Agent Pathfinding 🤖Agentic AI

Safactory: A Scalable Agent Factory for Trustworthy Autonomous Intelligence 🤖AI Coding Agents

TimeClaw: A Time-Series AI Agent with Exploratory Execution Learning 🔮Perplexity

Distance-Constrained Unlabeled Multi-Agent Pathfinding 🤖LLM Agents

Reward Shaping and Action Masking for Compositional Tasks using Behavior Trees and LLMs 🧠Context Engineering

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