#DAG planning
134 related articles
Deep Dives·4 min
Is Context Engineering the Core of Agent Development? A Deep Dive into Architecture and Practical Solutions
Deep dive into context engineering as the core of Agent development, covering five context modules, four pain points, and dynamic assembly solutions including compression, hybrid retrieval, multi-Agent architecture, and state machine control.
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Tutorials·3 min
Frontend AI Full-Stack Development in Practice: Building Multimodal Applications with PNPM MonoRepo Architecture
A practical guide to frontend AI full-stack development covering PNPM MonoRepo architecture, TurboRepo build optimization, and LangChain multimodal applications with Ollama local model deployment.
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Tech Frontiers·3 min
Jony Ive Teams Up with OpenAI to Build a Screenless AI Device — Can It Disrupt the Smartphone Era?
Former Apple design chief Jony Ive and OpenAI are building Astra, a screenless AI ear device with 2nm chips and pure voice interaction. A deep dive into its design, specs, and market outlook.
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Tutorials·3 min
The Complete Guide to Spring AI: A Full Learning Path for Java Engineers Building AI Applications
A comprehensive guide to Spring AI covering LLM integration, prompt engineering, RAG knowledge bases, and five AI Agent patterns, with three enterprise projects for Java engineers.
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Tutorials·3 min
Claude Agent SDK Python in Practice: Custom Tools, Multi-Turn Conversations & Hooks Security Control
A deep dive into Claude Agent SDK for Python: Query basics, custom Tools with MCP Server, CloudSdkClient multi-turn sessions, and Hooks security control with full code examples.
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Deep Dives·3 min
From Copilot to Agentic AI: Understanding AI's Evolution Through Four Stages
A systematic breakdown of AI's four-stage evolution from Chat Mode to Agentic AI, covering multi-agent architectures, ReAct framework, and MCP protocol.
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Industry Insights·2 min
Enterprise Agent Implementation Guide: From Digital Foundations to Intelligent Transformation
How can enterprises truly implement AI Agents? This guide covers digital foundations, AI strategy, building logic shifts, and implementation paths for successful Agent deployment.
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Tutorials·3 min
Frontend Engineers Leveling Up to AI Agents: LangGraph.js Architecture Design & Practical Guide
How can frontend engineers advance into AI Agent development? This guide covers LangGraph.js core architecture (state, nodes, edges), LangChain comparison, and workflow agent design with practical examples.
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Tutorials·3 min
LLM Learning Roadmap: A Complete Guide from Beginner to Project Implementation Across Seven Core Modules
A systematic breakdown of seven core LLM learning modules covering environment setup, Prompt Engineering, RAG, Agents, dev frameworks, fine-tuning, and hands-on projects for developers.
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Product Reviews·3 min
Illospace: A Full-Stack Collaborative Space Where Humans and AI Agents Share One Brain
Illospace is an open-source collaborative workspace where AI Agents and team members share memory and a Team Brain, with built-in databases, cron jobs, and canvas-based UI.
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Product Reviews·2 min
Socrati Review: AI Auto-Generated Audio Courses + Spaced Repetition for Efficient Learning in Spare Moments
In-depth review of Socrati — an AI app that auto-converts PDFs, YouTube videos, and more into podcast-style audio courses with built-in spaced repetition for efficient learning during commutes, workouts, and other spare moments.
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Tutorials·4 min
Langmanus Multi-Agent Framework Deep Dive: Architecture Principles and Agent Extension in Practice
Deep dive into Langmanus multi-agent framework architecture, explaining LangGraph orchestration with Coordinator, Planner, Supervisor and execution agents, plus a hands-on guide to adding custom agents.
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Product Reviews·5 min
Manus vs Google Deep Research vs Flowith: A Hands-On Comparison of AI Agents for Courseware Generation
Hands-on comparison of Manus, Google Deep Research, and Flowith generating Kafka courseware with the same prompt. Detailed scoring reveals which AI agent delivers the best results.
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Product Reviews·4 min
Coze Space vs Manus: Hands-On Comparison — Which AI Agent Automation Tool Is Better?
Hands-on review of Coze Space with real-world tests including enterprise analysis reports and stock comparisons, plus a full comparison with Manus to see which AI Agent automation tool comes out on top.
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Deep Dives·2 min
The MARVIS Project: A Complete Analysis of Embedded AI Agents Empowering Autonomous Space Exploration
Deep dive into how the MARVIS project deploys LLM agents on spacecraft, covering agent architecture, edge hardware token performance benchmarks, expert evaluations, and space AI benchmark planning.
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Industry Insights·4 min
AI Projects Command 2x the Rates While Traditional IT Struggles to Get Approved: The Real Freelance Market in 2024
In 2024, AI projects command day rates up to 4,000 RMB while traditional IT budgets shrink. A freelance developer's real experience reveals AI premiums, workflow orchestration differentiation, and B2B survival strategies.
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Tutorials·4 min
Anthropic's Official Agent Building Guide: A Complete Breakdown of Workflows vs. Agents
Deep dive into Anthropic's Building effective agents guide: workflow vs. agent distinctions, the technical selection pyramid, and framework pitfalls for building efficient LLM agents.
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Product Reviews·4 min
n8n vs Dify vs Coze vs OpenAI: In-Depth Comparison & Selection Guide for Four Major Agent Tools
In-depth comparison of n8n, Dify, Coze, and OpenAI across automation, RAG knowledge bases, and complex Agent tasks. Includes a selection guide to help you find the best AI workflow platform.
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Expert Opinions·3 min
From WeChat Codex to AI Agent Best Practices: A Developer's Pivot
After completing core WeChat-Codex integration, the Codex Bridge author validated three directions and pivoted to AI Agent best practices—sharing product thinking and methodology insights.
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Tutorials·4 min
Enterprise Deep Research Agent Implementation Guide: Architecture Design and Core Pain Points
A deep dive into enterprise Deep Research Agent deployment: architecture design, LangChain framework, and solutions to the top 10 pain points including tool chaos, context contamination, and cost control.
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