#task engineering
4808 related articles
Deep Dives·3 min
memU Memory Framework Explained: Unifying Multi-Modal Agent Memory with a File System
Deep dive into the memU open-source memory framework: how it organizes Agent memory as a file system with three-layer semantic abstraction, dual-loop collaboration, and two retrieval modes.
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Tutorials·3 min
Practical Guide to Building Multi-Agent Collaborative Applications with CrewAI + FastAPI
Learn how to build a multi-Agent collaborative system with CrewAI and FastAPI. Covers Agent, Task, Crew concepts, GPT/Tongyi Qianwen/Ollama integration, with complete code examples and model comparisons.
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Tutorials·3 min
AI Programming in Practice: A Complete Breakdown of Building a Website from Scratch in 7 Days
A developer used Claude Code and DeepSeek to build and deploy a complete website from scratch in 7 days. 99% AI-written code, AI-generated data, with full process breakdown and cost analysis.
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Industry Insights·1 min
Baidu Open-Sources LoneForge Multimodal Training Framework, Achieving Up to 4.8x Training Speedup
Baidu Intelligent Cloud open-sources LoneForge, a multimodal training framework under Apache 2.0 with 20+ models supported, 15%-45% speedup, up to 4.8x acceleration, and cross-platform GPU/Kunlun chip support.
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Tutorials·2 min
WenzAgent Open-Source Framework: A Practical Tutorial for Multi-Agent Collaborative Management on LAN
A detailed guide on deploying WenzAgent, an open-source multi-Agent management framework under Apache License, supporting LAN-based multi-device AI agent collaboration with Server-Client architecture.
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Research·2 min
Optimize Anything: One API to Unify Optimization of Code, Prompts, and Agent Architectures
UC Berkeley and Stanford propose Optimize Anything, a universal text optimization framework that unifies optimization of CUDA kernels, agent architectures, and prompts through one declarative API.
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Tutorials·2 min
Building an Agent Framework from Scratch: Breaking Down the Four Core Modules with Code Implementation
Learn how to split AI Agent capabilities into four modules—Tool Registry, Message Store, Agent Runtime, and Built-in Tools—and build a reusable, extensible Agent framework using Python decorators.
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Tutorials·2 min
Harness AI Engineering: A Practical Methodology for AI-Assisted Programming in Enterprise Projects
Explore the Harness AI Engineering methodology for enterprise AI programming — solving code hallucinations, quality issues, and more with systematic human-AI collaboration.
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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
Getting Started with LangChain: Core Concepts and Hands-On Guide for LLM and Agent Development
A systematic guide to LangChain's core features, covering LLM vs. Agent concepts, unified interface design, multi-provider support, environment setup, and hands-on code examples for AI app development.
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Deep Dives·3 min
Hermes Self-Evolution Framework: An Open-Source Solution for Automated AI Agent Prompt Optimization
Deep dive into NousResearch's open-source Hermes Agent self-evolution framework, using DSPy and GEPA for automated prompt optimization with five-layer safety mechanisms.
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Tech Frontiers·3 min
Generic Agent: A Self-Evolving AI Agent Built with Just 3,000 Lines of Code
Generic Agent builds a self-evolving AI agent with just 3,000 lines of code, 9 atomic tools, and a five-layer memory architecture — using only one-sixth the tokens of competitors.
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Industry Insights·3 min
Endava Builds an Agentic Organization with Codex: Requirements Analysis Compressed from Weeks to Hours
Global IT services firm Endava uses OpenAI Codex to build an Agentic Organization, compressing requirements analysis from weeks to hours. A deep dive into AI-driven software delivery transformation.
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Tutorials·3 min
Deep Dive into Claude Code SDK: A New AI Programming Paradigm for Auto-Writing Code and Reviewing PRs
In-depth analysis of Anthropic's Claude Code SDK & GitHub Action: piping, structured output, permissions, session resumption, and fully automated Issue-to-PR workflows.
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Tutorials·2 min
Why Qwen3 Is the Best Open-Source Model for MCP Agent Development
Analysis of Qwen3's advantages for MCP agent development, comparing DeepSeek R1's lack of Function Calling, covering MoE architecture and thinking mode switching.
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Tutorials·2 min
Learning AI Large Language Models from Scratch: A Guide to Learning Paths, Hardware, and Programming Languages
A beginner's guide to learning AI large language models — covering learning paths, hardware requirements, Python essentials, and cloud services for learners at every level.
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Product Reviews·2 min
Cursor Major Update: A Complete Breakdown of Background Agent, Cross-File Editing, and Other New AI Coding Features
Deep dive into Cursor's latest update: new cross-file Tab model, Background Agent for autonomous coding, Max Mode for all models, inline editing upgrades, and more AI programming features.
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Tutorials·3 min
AI Agent Learning Roadmap: From Beginner to Enterprise-Level Development in Three Months
A detailed three-month AI Agent learning roadmap covering LLM basics, ReAct paradigm, LangChain, memory mechanisms, tool calling, and multi-agent collaboration with practical project suggestions.
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Product Reviews·2 min
Cursor 2.0-2.3 Core Evolution: AI Programming Enters the Era of Fleet Command
Deep dive into Cursor 2.0-2.3: multi-agent parallel programming, auto-evaluation, built-in browser, runtime debugging—pushing developers from coders to AI fleet commanders.
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Tech Frontiers·2 min
Meta Muse Spark Released: A Comprehensive Analysis of the Native Multimodal Reasoning Model
Meta Superintelligence Labs releases Muse Spark, a native multimodal reasoning model supporting visual chain of thought, tool-use, and multi-agent orchestration. Deep dive into its capabilities and competitive positioning.
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