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Exploring the Agentic IDE concept: a self-building, self-iterating intelligent development environment. A deep analysis of how AI programming tools evolve from passive assistance to autonomous evolution.

A detailed guide to getting started with Codex and Claude Code AI agentic coding tools, from environment setup to hands-on practice, helping beginners master AI programming assistants.

A detailed guide to getting started with Codex and Claude Code—two leading AI agentic coding tools. From environment setup to hands-on practice, even beginners with no coding experience can master AI programming assistants.

A deep dive into Claude Code, the definitive course from DeepLearning.AI and Anthropic: from agentic principles and context optimization to three hands-on cases—RAG chatbot, Figma-to-frontend, and data analysis. Master AI-assisted coding methodology.

An in-depth look at agentic coding: how test-driven loops enable AI self-correction, the real limits of LLM benchmarks, and key engineering lessons on context management and human-AI collaboration.

A comprehensive analysis of GPT-5.6: the Sol/Terra/Luna product-line positioning, MoE architecture, 1.5M token context, coding agent benchmarks, and the shift from Chatbot to Agent.

DeepLearning.AI and Anthropic launch a Claude Code best practices course covering architecture, context management, MCP servers, parallel sessions, and three hands-on projects for AI-powered coding.
TutorialsDeep dive into the technical differences between traditional RAG and Agentic RAG, covering offline/online pipeline principles, tool-based autonomous decision mechanisms, and a LangGraph-based Agentic RAG implementation via the ChatBox open-source project.
Deep DivesDeep dive into Claude Code's core mechanisms including tool calling, agentic search, memory systems, and MCP protocol extensions. Learn how this CLI agent tool autonomously plans and executes complex development tasks.
TutorialsDeep dive into traditional RAG limitations and Agentic RAG upgrades, with ChatBox source code analysis covering core tool design, intelligent decision flows, and LangGraph implementation for enterprise deployment.
TutorialsElastic engineer shares Agentic Search methodology: from traditional RAG limitations to Agent search tool combination strategies, covering semantic search, general query, and Shell tool comparisons.
Deep DivesA deep dive into Berkeley CS294-196's agentic AI security lecture, covering prompt injection, indirect injection, AgentPoison backdoor attacks, defense-in-depth, least privilege, and runtime guardrails.
Deep DivesIn 2026, the AI industry shifts from generative to Agentic AI. Deep dive into GPT-5.5 agent capabilities, Claude's autonomous learning, Physical AI deployment, DeepSeek V4, inference optimization, and the global AI competition landscape.
Deep DivesDeep dive into AI's four-stage evolution from Chat to Agentic AI, covering multi-Agent architectures, ReAct framework, and MCP protocol for developers.
TutorialsDeep dive into Agentic RAG principles and implementation. Compare traditional RAG limitations, learn tool-based retrieval with ReAct Agent loops, with LangChain/LangGraph code examples.
TutorialsDeep dive into Agentic RAG vs traditional RAG, with ChatPDF case study and LangChain code walkthrough covering tool design, multi-turn iteration, and autonomous decision-making for LLM engineers.
Deep DivesDeep dive into Agentic RAG vs traditional RAG, covering tool calling, multi-step iteration, query rewriting, with LangChain and LangGraph code examples for building intelligent retrieval systems.
TutorialsCompare traditional RAG vs Agentic RAG architectures, explore planning, tool use, and multi-step iteration capabilities, with full LangChain/LangGraph ReAct Agent code and ChatBoss project examples.
TutorialsDeep dive into Agentic Flow, an open-source project enabling flexible low-cost model switching in Claude Code and one-click Agent deployment to cloud production environments.

Meta releases Muse Glimmer, a 30B open-source multimodal model running on a single 24GB GPU. Tested at 233 tokens/sec with speculative decoding on RTX 5090, Apache 2.0 licensed with GGUF support.