#closed-loop learning
276 related articles
Tutorials·1 min
AI Agent Open-Source Course: 36 Chapters from ReAct to Claude Code Full-Stack Practical Guide
Open-source GitHub project agent-study offers 36 chapters covering ReAct loops, Claude Code reverse engineering, MCP protocol, RAG, DSPy, and production observability as runnable Python code.
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Tutorials·2 min
Codex Beginner's Tutorial: Get Started with OpenAI's Programming Assistant in 5 Steps (2025 Hands-On Guide)
Complete beginner's guide to OpenAI Codex. From installation, folder management, Thread task splitting to Plan Mode and code review — 5 steps to master AI programming assistant for efficient development.
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Tutorials·4 min
Harness Engineering in Practice: A Three-Layer Architecture for Taming AI Agent Development
A detailed guide to Harness Engineering's three-layer architecture for controlling AI Agent code generation quality, covering the Information, Constraint, and Automation layers with practical setup and pitfall avoidance tips.
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Deep Dives·4 min
XANI: How GPU-Accelerated X-Ray Nanoscale Imaging Is Revolutionizing XFEL Data Analysis
Explore how the XANI project uses NVIDIA GPUs to accelerate XFEL data analysis, compressing nanoscale imaging from days to hours and advancing fusion materials and semiconductor research.
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Product Reviews·4 min
Kimi OK Computer Hands-On Review: In-Depth Evaluation of AI Agent Performance Across Four Scenarios
In-depth hands-on review of Kimi's AI Agent 'OK Computer' across website building, data analysis, audio picture books, and PPT creation. Can an agent with 20+ built-in tools truly do your work?
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Research·3 min
AI Agents vs. Humans in First Wet-Lab Showdown: No Significant Difference in Protein Binder Design Hit Rates
First wet-lab comparison: 6 LLM Agents vs 9 human teams in TREM-2 Binder design show no significant Hit Rate difference (P=0.83). Analysis of tool convergence, in-silico bottlenecks, and designer transformation.
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Product Reviews·3 min
Alibaba Qoder vs Cursor, Trae, Claude Code: In-Depth Review of 4 Major AI Coding Tools in 2025
In-depth comparison of Alibaba Qoder, Cursor, Trae, and Claude Code across architecture, features, and use cases to help developers choose the best AI coding tool.
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Product Reviews·4 min
Cursor 1.0 Released: BugBot Code Review Hands-On & Comparison of Three AI Review Tools
Deep dive into Cursor 1.0's BugBot AI code review feature, with a side-by-side comparison of BugBot, Gemini Code Assist, and CodeRabbit covering pricing, scope, and speed.
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Product Reviews·3 min
Cursor 1.0 In-Depth Review: MCP Integration, BugBot, and Background Agent Hands-On Experience
Hands-on review of Cursor 1.0: testing one-click MCP integration, BugBot code review, and Background Agent. Includes pricing analysis and real usage limitations.
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Tutorials·3 min
Godot AI Plugin Setup Guide: Using MCP Protocol to Let AI Directly Control the Game Engine
A complete guide to installing and configuring the Godot AI plugin. Use MCP protocol to let Claude and Codex create scenes, run tests, and debug with screenshots — build a 3D platformer in 10 minutes.
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Product Reviews·3 min
NanoBananaEditor: An Open-Source AI Image Generation and Editing Powerhouse Built on Gemini
NanoBananaEditor is an open-source AI image editor powered by Gemini 2.5 Flash, featuring reference images, mask inpainting, and version history. 679 GitHub Stars.
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Tutorials·4 min
Replit Agent Tutorial: Build and Launch an AI Website in 30 Minutes with Zero Code
Step-by-step tutorial on building an AI photography website with Replit Agent—no coding needed. Covers requirements, API setup, iteration, and one-click deployment for rapid MVP validation.
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Tutorials·4 min
STM32 Smart Car Development: Where Does AI-Assisted Programming Hit Its Limits?
A deep dive into an STM32F103C8T6 HAL library AI smart car course, exploring AI's real capabilities and three key limitations in embedded development, and the best practices for human-AI collaboration.
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Product Reviews·3 min
Aix-DB Open-Source Framework: A Multi-Agent Approach to Natural Language Database Querying
Deep dive into Aix-DB: an open-source multi-agent framework using LangChain/LangGraph and MCP protocol for natural language to SQL, data analysis, and visualization.
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Tutorials·3 min
Andrew Ng's 2025 New Course: Core Methodology and Best Practices for Building AI Agents
A deep dive into Andrew Ng's latest Deeplearning.AI course on AI Agents, covering Agentic AI use cases, disciplined development workflows, evaluation frameworks, and error analysis methodology.
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Deep Dives·4 min
From Copilot to Agentic AI: A Complete Guide to Multi-Agent Collaboration Architectures
Deep dive into AI's four-stage evolution from Chat to Agentic AI, covering multi-Agent architectures, ReAct framework, and MCP protocol for developers.
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Tutorials·4 min
A Practical Guide for Java Developers Transitioning to AI Agent Development: Technology Selection, Architecture Design & Resume Positioning
A systematic guide for Java developers entering AI Agent development, covering core concepts, Workflow vs. Agent architecture comparison, Spring AI Alibaba selection, and resume positioning strategies.
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Tutorials·3 min
Agentic RAG in Practice: Architecture Deep Dive and LangChain Implementation
Deep dive into Agentic RAG vs traditional RAG, covering planning, tool calling, and multi-step iteration capabilities with complete LangChain and LangGraph code implementation.
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Tech Frontiers·3 min
SWE-bench Official Blog Launches: AI Coding Evaluation Enters a New Phase
SWE-bench launches its official blog for in-depth content on AI coding evaluation, AI Agents, and toolchains—signaling a new phase of maturity and standardization in AI programming benchmarks.
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Tech Frontiers·3 min
Karpathy Open-Sources autoresearch: A Deep Dive into the AI-Powered Automated Research Tool with 80K Stars
Andrej Karpathy open-sources autoresearch, an AI Agent tool that automates nanochat training experiments on a single GPU. With 80K+ GitHub Stars, we break down its architecture and impact.
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