#Agent development roadmap
278 related articles
Tutorials·2 min
Codex Beginner's Tutorial: Get Started with OpenAI's Programming Assistant in 5 Steps (2025 Hands-On Guide)
Complete beginner's guide to OpenAI Codex. From installation, folder management, Thread task splitting to Plan Mode and code review — 5 steps to master AI programming assistant for efficient development.
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Product Reviews·3 min
5 Hidden Gem Productivity Tools: AI Coding Assistants, GPS Tracking, Direct Official Site Navigation
5 curated productivity tools: Ping Island integrates AI coding agents into Mac's notch, Petadex virtual pets accompany coding, GPS Logger for power-efficient tracking, DataVal for AI tutorials, and Direct Official Site for safe navigation.
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Tutorials·4 min
Google Jules Official Launch: A Complete Guide to the Free AI Coding Agent
Google's AI coding agent Jules is now officially available, with a free tier offering 15 tasks/day. Covers Jules's 5 core features, GitHub integration, CLI support, use cases, and practical tips.
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Product Reviews·3 min
ChatGPT vs Gemini vs Claude: Who Can Build Mario 64 from Scratch?
Testing ChatGPT 5.2, Gemini 3 Pro, and Claude 4.5 building Super Mario 64 from scratch with the same prompt. Gemini wins overall with best playability, ChatGPT has best visuals but only 1 fps, Claude fails at collision detection.
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Tutorials·3 min
2026 AI Learning Roadmap: 3 Proven Paths + A 4-Step Action Checklist (With Complete Technical Framework)
How to learn AI in 2026 without wasting time? This guide covers 3 proven paths — AI Agent customization, vertical specialization, and full-stack LLM development — plus a 4-step action checklist.
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Tutorials·3 min
AI Agent Development in Practice: 5 Evolutionary Stages from API Calls to Multi-Agent Collaboration
A complete guide to AI Agent development evolution: from API First principles to multi-Agent collaboration, covering prompt optimization, context engineering, and memory mechanisms to build reliable enterprise Agent systems.
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Deep Dives·3 min
Google Agent Platform Deep Dive: Building Production-Grade AI Agents with ADK, MCP, and A2A
Deep dive into Google Cloud Next 2025's Agent Platform: ADK framework, MCP integration, A2A multi-Agent collaboration, context engineering, security governance, and a marathon simulation demo.
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Product Reviews·3 min
Manus AI Deep Dive: What Makes the AI Agent Meta Acquired for $2 Billion So Powerful
In-depth testing of Manus AI across PPT creation, full-stack web development, and channel analytics. Discover why Meta paid $2 billion for this general-purpose AI agent.
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Tech Frontiers·2 min
Google's AI Triple Launch: A Complete Breakdown of AI Studio, Gemini Desktop, and Colab MCP
Deep dive into Google's three latest AI updates: AI Studio's Anti-Gravity agent with Firebase full-stack development, Gemini's native macOS desktop app, and Colab MCP Server enabling AI agents to execute Python code directly.
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Expert Opinions·3 min
Dario and Daniela Amodei in Conversation: Decoding Claude's Future and AI Safety Strategy
Anthropic co-founders Dario and Daniela Amodei join a rare public conversation moderated by CPO Ami Vora, discussing Claude's evolution, AI safety advances, and Anthropic's competitive strategy.
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Tech Frontiers·3 min
What Is Claude Managed Agents? Core Capabilities and Usage Guide for Anthropic's Hosted Agent Service
A comprehensive guide to Anthropic's Claude Managed Agents: core capabilities including Advisor Strategy, code execution, and web search, plus comparisons with third-party Agent frameworks.
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Deep Dives·4 min
A2A Protocol Explained: Complementing MCP to Build a Standard Communication Layer for Multi-Agent Collaboration
Deep dive into Google's A2A protocol core mechanisms (Agent Card, Task, Transport), comparing A2A vs MCP roles, and tracing the evolution from tool calling to multi-agent team collaboration.
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Tutorials·4 min
Hermes Agent in Practice: Building a Memory-Persistent AI Assistant with a Four-Layer Memory System
Deep dive into Hermes Agent's four-layer memory system architecture, covering Harness Engineering principles, Lark integration, persistent memory configuration, and autonomous Skill evolution for building AI assistants that never forget.
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Deep Dives·3 min
Alibaba's QwQ-32B Open-Sourced: How 32B Parameters Rival DeepSeek R1's 671B
Alibaba's open-source reasoning model QwQ-32B achieves performance rivaling DeepSeek R1 (671B) with only 32B parameters through a two-stage reinforcement learning strategy on verifiable tasks.
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Product Reviews·3 min
OpenAI Codex Desktop In-Depth Review: Skills System, Three Execution Modes & Hands-On Experience
In-depth review of OpenAI Codex Desktop: Skills system installation & customization, Local/Worktree/Cloud execution modes compared, workspace management & security controls for AI-powered development.
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Product Reviews·3 min
Google AI Studio 2.0 Deep Dive: Hands-On with the Free Full-Stack Coding Tool
Deep dive into Google AI Studio 2.0's new Build Mode and Agentic Mode. Hands-on testing of CRM systems, multiplayer games, Firebase integration, Gemini models, and Stitch workflow — all completely free.
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Tutorials·3 min
AI Agent + Shiji: A Step-by-Step Guide to Building an Automated Daily To-Do System
Learn how to connect an AI Agent with the Shiji task management tool to auto-generate and push daily to-dos. Full walkthrough from API setup to deep conversation training.
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Tutorials·3 min
AI Agent Learning Roadmap: A Complete Guide from LangChain to Enterprise Deployment
In-depth analysis of the popular GitHub project ai-agents-from-zero, covering LangChain, LangGraph, RAG, MCP and more, with a complete learning path from beginner to enterprise AI Agent development.
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Product Reviews·3 min
DeepSeek V4 vs GLM-5.1 vs GPT 5.5 Real-World Coding Test: Which One Wins in Actual Project Development?
Real-world coding test of DeepSeek V4, GLM-5.1, and GPT 5.5 using a 7,000-user browser extension. GLM-5.1 achieves first-pass success with the most stable performance across project development and 3D generation.
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Product Reviews·3 min
AIFlowy: A Java-Based Alternative to Dify for Enterprise AI Application Development
AIFlowy is an open-source AI app development platform built on Java, rivaling Dify and Coze with visual workflow orchestration, multi-model support, and RAG capabilities for enterprise teams.
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