#agent framework

198 related articles

2026年6月13日·2 min

Perplexity Computer Integrates Deep Research as a Native Skill: A New Paradigm for AI Agent Capability Fusion

Perplexity integrates Deep Research as a native skill in Computer, enabling automatic invocation without manual mode switching. Analyzing the Agent Harness design philosophy and AI capability fusion trends.

2026年6月13日·2 min

Nex N2 Pro Real-World Testing: Top 5 on Official Benchmarks, Only 12th in Independent Tests

Deep-dive testing of Nex N2 Pro open-source Agent model comparing official benchmarks vs independent results. The 397B parameter model shows decent frontend generation but ranks 12th independently, not top 5 as claimed.

2026年6月13日·2 min

Replit's AI Loops Workflow Explained: Multi-Agent Collaboration Replaces Prompt Engineering

Deep dive into Replit's AI Loops workflow: how orchestrators, parallel agents, and Computer Use Verifiers build automated closed-loop systems through multi-agent collaboration.

2026年6月13日·4 min

Claude Code + Skills: A Practical Guide to AI-Powered Test Case Generation

Learn how to use Claude Code + Skills to auto-generate enterprise-grade test cases. Covers AI Agent vs LLM differences, the four core capabilities, and the complete workflow from requirements to test cases.

2026年6月13日·2 min

Hands-On Tutorial: Build an AI Agent from Scratch with 200 Lines of Python

Build an AI Agent from scratch with 200 lines of Python, covering prompts, memory, tool calling, RAG, and Skills — a practical guide for developers.

2026年6月13日·3 min

Hands-On with Tencent Cloud ADP 4.0: How an Enterprise-Grade Agent Development Platform Tackles the Agent Commercialization Challenge

Hands-on review of Tencent Cloud ADP 4.0: testing its full-lifecycle Agent management — from rapid creation and enterprise integration to automated evaluation and Skill governance for real-world deployment.

2026年6月13日·2 min

Datasette Agent 0.2a0: A New Mechanism for AI Agents to Ask Users Questions During Tool Execution

Datasette Agent 0.2a0 introduces an ask_user() mechanism enabling AI agents to pause during tool execution and ask users questions, with three interaction modes and a save_query tool for human approval.

2026年6月13日·3 min

Cross-Location AI Agent Connectivity: A Complete Guide to Smart Networking Solutions for Enterprises

Enterprises deploying AI Agents across locations face network connectivity challenges. Learn how smart networking solutions enable low-cost, unified access to internal resources like knowledge bases and OA systems.

2026年6月13日·3 min

OpenAI Codex Beginner's Guide: From Environment Setup to Enterprise-Level Practice

A systematic guide to OpenAI Codex and AI LLM learning, covering Transformer basics, dev environment setup, prompt engineering, RAG deployment, LoRA fine-tuning, and AI Agent enterprise projects.

2026年6月13日·3 min

LFM2.5 Local Deployment Hands-On: An 8B Parameter Model That Outperforms GPT-o3s in Tool Calling

Hands-on test of Liquid AI's LFM2.5 local deployment: architecture breakdown, 16GB VRAM troubleshooting, and GraphRAG tool-calling benchmarks vs GPT-o3s.

2026年6月13日·2 min

AI Agent Development Learning Path: A Practical Guide from Zero to Commercial Deployment

A complete AI Agent development learning path covering theory, frameworks, tool integration, and commercial deployment with real enterprise use cases.

2026年6月13日·3 min

Kunpeng AI Agent Architecture: Why General-Purpose Computing Matters as Much as AI Computing

Deep dive into Huawei Kunpeng's AI Agent solution — why general-purpose computing matters as much as AI computing for agent architecture, from memory systems to tool calling and secure runtimes.

2026年6月13日·3 min

Building AI Agents from Scratch: A Complete Beginner's Guide

Build AI Agents with zero coding experience! Learn prompt engineering, RAG knowledge bases, and workflow orchestration using no-code platforms like Coze and Dify, plus real monetization paths.

2026年6月13日·3 min

AI Large Language Model Learning Roadmap for Beginners: A Complete Plan from Basics to Hands-On Practice

A systematic AI LLM learning roadmap for beginners covering prompt engineering, RAG, LangChain, Agents, and more — with timelines and project suggestions.

2026年6月13日·3 min

Career Transition Guide for AI Product Managers: Pick the Right Track Across Three Industry Layers

A deep dive into the AI product manager industry's three-layer pyramid — from infrastructure to models to applications — helping traditional PMs find the best career transition track.

2026年6月13日·4 min

The Complete AI Agent Engineering Tech Stack: A Practical Guide to 100x Development Efficiency

Deep dive into the AI agent engineering stack: from Cursor framework, model selection to context engineering and automated review loops — a complete workflow guide to achieving 100x development efficiency.

2026年6月13日·3 min

What Is an Agent Skill? Core Structure and Hands-On Beginner's Guide

A detailed guide to AI Agent Skills: core concepts, four key components (skill.md, references, scripts, assets), Skill vs. prompt comparison, and a practical path to building Agent capability packages from scratch.

2026年6月12日·4 min

Nex-N2 Pro In-Depth Review: Impressive Code Generation, But How Inflated Are the Benchmarks?

In-depth review of open-source agent model Nex-N2 Pro: testing code generation, SVG output, and game dev capabilities while analyzing benchmark inflation, GPT distillation traces, and speed issues.

2026年6月12日·3 min

Open-Source Models Keep Throwing Errors in Your Code? The Problem Might Be the Framework

DeepSeek and Kimi keep failing at coding? The problem may not be the model but the framework. Learn how Commander Code fixes this with cache routing, tool call repair, and continuous learning.

2026年6月12日·3 min

AI Agent Learning Roadmap: A Four-Stage Plan from Zero to Hands-On

A systematic four-stage AI Agent learning roadmap covering LLM API calls, ReAct paradigm, memory mechanisms, and multi-agent collaboration for beginners.