#LLM coding
2371 related articles
Product Reviews·3 min
BuildingAI Open Source Project Deep Dive: Building AI Apps Like Stacking Blocks
Deep dive into BuildingAI, an open source block-based AI app builder with 1600+ Stars. Explore its architecture, use cases, and how it compares to Dify and Coze.
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Product Reviews·3 min
DifyAIA: A Free Dify AI Workflow Template Library with 2500+ Stars
DifyAIA is a popular open-source Dify workflow template project on GitHub with 2500+ Stars. It offers free DSL workflow files for one-click import into Dify. Learn its features, usage, and use cases.
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Product Reviews·3 min
Dify-Plus Deep Dive: An Open-Source Enterprise-Grade AI Application Platform Enhancement
Deep dive into Dify-Plus, an enterprise AI platform enhancement built on gin-vue-admin + Dify customization, offering multi-user permission management, Token monitoring, and ops auditing for enterprises.
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Tech Frontiers·3 min
Gemma 4 + DGX Spark: How Open-Source LLMs and Desktop-Level Compute Are Changing AI Development
NVIDIA and Google DeepMind jointly showcase Gemma 4's vision translation, long-context Q&A, and real-time code generation on DGX Spark, signaling the convergence of open-source AI and edge compute.
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Tech Frontiers·3 min
Inside the SJSU Hackathon Winning Projects: A Practical Guide to Building High-Impact AI Agents
Deep analysis of SJSU hackathon-winning AI Agent projects covering architecture design, core elements, and UX optimization—a practical guide from prototype to product.
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Tutorials·3 min
Commercial AI Agent Development Guide: 7 Key Steps to Build from Scratch
A complete guide to building commercial AI Agents in 7 steps: requirements analysis, model selection, prompt engineering, Dify/Coze platform comparison, data storage, testing, and deployment.
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Expert Opinions·3 min
The Tyranny of Software Is Ending: AI Lets Everyone Build Apps
Programming barriers once divided the world into those who build software and those who merely use it. AI coding tools and LLMs are breaking down that wall, enabling anyone to create apps through natural language.
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Deep Dives·3 min
Claude Code Source Code Leak Revealed: Seven Core Mechanisms of the Harness Architecture Explained
Deep analysis of the Claude Code source code leak, revealing seven core mechanisms of its Harness architecture including context management, tool call orchestration, and state tracking for AI Agent developers.
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Product Reviews·4 min
Hermes Agent Web UI Complete Review: Kanban Feature + Desktop App Hands-On Experience
In-depth review of Hermes Agent's Web UI, Kanban board, desktop app, and Terminal UI dashboard. Compared with Claude Code, see how this free open-source AI Agent framework makes automation accessible.
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Research·3 min
MEMOIR: Solving AI Agent Memory Management with Git Version Control
MEMOIR is an open-source tool bringing Git version control to AI Agent memory management, with branching, rollback, semantic paths, and visualization to solve context pollution and memory drift.
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Tutorials·4 min
AI-Powered Research in Practice: From LLM Selection to Building Automated Workflows with N8N
A deep dive into AI-driven research methodology: LLM selection, Python automation, Zotero reference management, Overleaf writing, local LLM deployment, and N8N workflow automation.
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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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Deep Dives·4 min
Harness Engineering Explained: The Third-Generation Development Paradigm for Taming AI Agents
Deep dive into Harness Engineering: the third-gen AI development paradigm. Learn its three-layer architecture for effectively harnessing AI Agents to complete complex development tasks.
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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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Expert Opinions·3 min
Sam Altman in Conversation with Garry Tan: How OpenAI and YC Are Co-Shaping the AI Startup Ecosystem
Sam Altman and YC President Garry Tan discuss the convergence of OpenAI's foundation models and YC's startup ecosystem, revealing key signals about the next phase of AI entrepreneurship.
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Tutorials·4 min
A Practical Guide for QA Engineers: Building 18 AI Agents with 5 Essential Tools
Learn how QA engineers can build 18 AI Agents using Coze, LangChain, Dify, Cursor, and Skills — covering requirements analysis, test case generation, script writing, and regression testing with up to 10x efficiency gains.
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Product Reviews·3 min
How to Choose an AI Agent Framework in 2026? Pros and Cons of Four Leading Solutions
Compare four leading AI Agent frameworks in 2026: Coze, AutoGen, CrewAI, LangChain, and AutoGen Studio — covering coding requirements, private deployment, and commercialization.
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Product Reviews·4 min
AI Agent Framework Selection in 2025: Pros and Cons of Coze, AutoGPT, LangChain, and AutoGen
2025 comparison of four major AI Agent frameworks: Coze for beginners, AutoGPT/LangChain/MetaGPT for developers, Microsoft AutoGen for enterprise self-hosted deployment. A practical selection guide.
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Tutorials·3 min
TierCraft AI: A Practical Deep Dive into Auto-Generating SaaS Pricing Plans with LangGraph + OpenAI
Deep dive into the TierCraft AI open-source project: using LangGraph to orchestrate AI Agent workflows with OpenAI o4-mini to auto-generate three-tier SaaS pricing plans, featuring Reality-Check loops and context-aware pricing.
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Tutorials·4 min
Coze AI Agent Tutorial: A Complete Guide to Building AI Agents from Scratch
Complete guide to building AI agents on Coze from scratch, covering LLM configuration, prompt writing, plugin integration, knowledge base setup, and memory systems.
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