#agent learning path
1531 related articles
Tutorials·2 min
LangChain Unified Interface in Practice: init_chat_model Usage & DeepSeek Troubleshooting Guide
Guide to LangChain's init_chat_model unified interface vs model classes, with DeepSeek V4 Pro thinking mode fix, multi-provider switching tips, and AI Agent integration practices.
Read more →
Tutorials·2 min
How Frontend Engineers Can Systematically Build AI Agent Architecture Skills
How frontend engineers can move beyond API calls to build production AI systems — covering streaming output, BFF layers, RAG pipelines, and Agent orchestration with LangChain.js/LangGraph.js.
Read more →
Tutorials·2 min
Build an AI Agent in 200 Lines of Python: A Deep Dive into Five Core Modules
Build an AI Agent in 200 lines of Python from scratch. A deep dive into the five core modules: Prompt, Memory, Tool Use, RAG, and Skill, with progressive development workflow.
Read more →
Tutorials·2 min
LangChain Beginner's Guide: A Complete Guide to LLM and Agent Development
A deep dive into LangChain framework essentials, clarifying the key differences between LLMs and Agents, covering Agent development, DeepAgent advanced topics, and learning paths.
Read more →
Product Reviews·2 min
Building a Navigation Website in 2.5 Minutes: Hands-On Review of Miaoda AI Website Builder
Hands-on review of Miaoda AI website builder: generating a navigation site with 300+ tools in just 2.5 minutes using natural language. Covers workflow, visual editing, comparisons with other tools, and monetization possibilities.
Read more →
Product Reviews·2 min
Hands-On Test: Kimi K2.5 Multi-Agent One-Click Website Building — How Good Is Chinese AI's Product Delivery?
Hands-on test of Kimi K2.5 multi-Agent collaboration: from a one-sentence requirement to automatic task breakdown, competitive research, UI design, and frontend development delivering a working website.
Read more →
Tutorials·2 min
Replicating Manus for $30: A Practical Breakdown of Building an AI Agent's Minimum Viable Loop
A detailed breakdown of replicating the Manus AI agent platform for $30, covering Docker container integration, task orchestration, UI design, and the course-based monetization strategy.
Read more →
Tutorials·2 min
Vibe Coding Beginner's Guide: A Complete Hands-On Tutorial for Building Websites with AI from Scratch
Learn Vibe Coding step by step: build websites and web apps from scratch using AI. Includes prompt tips, AI communication strategies, and live demos with Kimi Agent — no coding experience required.
Read more →
Tutorials·2 min
Feishu + Claude Code in Practice: 5 Agent Office Automation Cases That Double Efficiency
Detailed walkthrough of 5 Agent office automation cases combining Feishu CLI with Claude Code, covering meeting knowledge bases, work reviews, influencer reconciliation, whiteboard generation, and automated reimbursement.
Read more →
Deep Dives·2 min
AITS Intelligent Testing Platform: How AI Agents Are Transforming Test Engineers from Script Writers to AI Commanders
Explore how AITS uses AI Agents to auto-generate test cases, self-heal scripts, and run exploratory testing — helping engineers evolve from script writers to AI testing strategists.
Read more →
Tutorials·2 min
Java + AI: A Practical Path for Programmers to Break Through the Age-35 Career Crisis
How Java programmers can break through the age-35 career bottleneck by stacking AI skills. Covers AI learning levels, Java+AI synergy, and actionable transition strategies.
Read more →
Tutorials·2 min
Senior Developers Transitioning to AI: A 2025 Pitfall-Avoidance Guide & Practical Roadmap
How can 30+ programmers efficiently transition to AI? Practical advice on learning strategy, project experience, and interview techniques to break into AI.
Read more →
Product Reviews·1 min
Kman Plugin Review: Cut Claude Code Output Tokens by 65% and Save Big
How the Kman plugin uses prompt injection to cut AI output tokens by 65% without losing code quality. Covers installation, benchmark data, three intensity modes, and Kman Review.
Read more →
Product Reviews·2 min
Claude Code Ultra Review Hands-On: Deep Dive into Multi-Agent Code Review
Hands-on deep dive into Claude Code's upcoming Ultra Review: multi-Agent parallel search, independent verification, deduplication workflow, comparison with standard Review, plus custom Fleet Review implementation.
Read more →
Deep Dives·2 min
How AI Agents Work: The Four Core Elements and ReAct Loop Decision-Making Mechanism Explained
Deep dive into AI Agent's four core elements (LLM, Tools, Prompts, Executor) and ReAct loop decision mechanism, with a weather query example walkthrough.
Read more →
Tech Frontiers·1 min
OpenAI Codex Goal Mode Explained: How the AI Programming Assistant Executes Tasks Lasting Over 100 Hours
OpenAI Codex introduces Goal mode for sustained AI programming tasks lasting hours or days. Learn usage methods, best practices, and real-world applications.
Read more →
Deep Dives·2 min
Harness Engineering Explained: The Third Paradigm Shift in AI Engineering
Deep dive into Harness Engineering: the evolution from Prompt Engineering to Context Engineering to Harness Engineering, comparing Anthropic and OpenAI's different approaches to AI Agent development.
Read more →
Product Reviews·2 min
In-Depth Review of the 2026 Python Complete Tutorial (648 Episodes): Can You Really Master It in 7 Days Through Self-Study?
In-depth review of a 648-episode Bilibili Python tutorial: analyzing course structure, learning path, and projects. Reveals the truth behind "7-day mastery" and offers effective self-study tips.
Read more →
Tutorials·2 min
LangGraph Multi-Agent Architecture in Practice: A Complete Guide from Single Agent to Enterprise-Level Applications
In-depth guide to LangGraph multi-agent architecture: covering Graph structures, MCP protocol integration, single Agent building to enterprise-level multi-agent collaboration for AI developers.
Read more →
Tutorials·1 min
LLM-Wiki Setup Tutorial: Karpathy's Self-Evolving Personal Knowledge Base Approach
A detailed guide to Andrej Karpathy's LLM-Wiki personal knowledge base approach, transforming LLMs from interpreters to compilers with a three-layer architecture for self-evolving knowledge.
Read more →