345 related articles

A detailed guide to implementing reactive game AI for Atari Breakout using deep reinforcement learning, covering DQN architecture, frame stacking, CNN feature extraction, and training strategies.

Build a RAG knowledge base from scratch using Dify's low-code platform. A hands-on Delta Force game assistant case study covering agents, knowledge base setup, and private deployment.

Build an AI game assistant from scratch with no coding experience! This hands-on guide walks you through Dify + RAG — from knowledge base setup to agent creation and tuning.

A YouTuber spent 24 hours learning Rust from zero with no AI tools, mastering ownership, borrowing, and a game engine to build a complete Brick Breaker game. Full account of every challenge.

Learn how to build an FPS game from scratch using ECS architecture (Entity-Component-System) and AI-assisted coding, featuring movement, shooting, magazine management, and minimap.

A detailed walkthrough of building a top-down farm game from scratch using VSCode Cline plugin + DeepSeek AI + Godot engine, covering AI rules, architecture design, code generation, and debugging.

We tested ChatGPT, Gemini, and Claude recreating Murder Mystery 2, Natural Disaster Survival, and MeepCity — comparing visual fidelity, feature completeness, and debugging difficulty in AI game dev.
Product ReviewsHands-on review of Quip AI game generator: building a 2D side-scrolling mowing game from scratch using only natural language prompts, covering the full workflow from initial build through iterative refinement.
Product ReviewsA kid used DeepSeek AI to independently build a typing game in the terminal. From basic letter input to a full aerial combat game with power-ups across 5 versions, showcasing AI-assisted programming's educational value.
TutorialsTutorial: Build an AI Pictionary game in Scratch using pen drawing and AI image recognition. Learn multimodal AI applications with step-by-step code logic.

Exploring the possibility of designing a modern graphics API from scratch, analyzing the sources of complexity in Vulkan and DirectX 12, and discussing how to better balance ease of use with GPU performance.

How to choose between pre-trained models, fine-tuning, and training from scratch for new AI projects. A systematic decision framework covering problem definition, data assessment, and cost trade-offs.

Merge is an AI-native code review assessment platform that evaluates engineers' judgement through simulated PR reviews, scoring Bug Coverage, Communication, PR Quality, and Token Efficiency.

OpenAI and four competitors agree on unified AI agent standards, addressing interoperability challenges in tool calling and task orchestration. Analysis of implications for developers and enterprises.

A deep dive into LLM quantization techniques covering symmetric/asymmetric quantization, PTQ, QAT, GPTQ, AWQ, and outlier solutions for efficient model deployment.

Deep dive into AI single-image 3D garment reconstruction technology, from technical principles (parametric templates, implicit representations, diffusion models) to applications (virtual try-on, game assets, e-commerce displays).

A systematic RL learning roadmap covering Sutton & Barto, David Silver's course, OpenAI Spinning Up, and more — guiding learners from RL fundamentals to RLHF practice.

nanoAlphaZero is a single-file AlphaZero implementation in JAX that trains an Elo 2700+ chess model in 24 hours on a TPU v4-32. The entire RL pipeline is one JIT-compiled JAX function.

How can master's students conduct literature reviews from scratch? Using concept drift research as an example, this guide covers topic narrowing, systematic search, taxonomy construction, and gap identification.

An Indian undergrad faces a tech path dilemma: stick with math-first fundamentals or pivot to flashy projects? Deep analysis of math vs. project experience for quant research and OR careers.