#task planning
2319 related articles
Product Reviews·2 min
G-Rec: An Open-Source Agent Framework Built for Gemini CLI
G-Rec is an open-source agent framework built on Gemini 2.5 Pro with Windows/Chinese path support, persona systems, and skills extension, offering a free alternative to Claude Code.
Read more →
Tutorials·3 min
Complete Guide to Connecting Claude Code with DeepSeek-V4
Complete guide on connecting DeepSeek-V4 to Claude Code, covering Node.js installation, environment variable configuration, model mapping, and real-world coding tests for a near-premium AI programming experience with open-source models.
Read more →
Product Reviews·3 min
CREAO Agent Competitive Monitoring Automation in Practice: From 5 Hours a Week to 10 Minutes a Day
Learn how to build an automated competitive monitoring pipeline with CREAO Agent, covering multi-platform data collection from X, Reddit, and Xiaohongshu to generate structured intelligence reports with high-value Leads, user complaint analysis, and actionable Ideas.
Read more →
Tutorials·2 min
The Three-Layer Pyramid Model for Agent Development: From Beginner to Industrial-Grade Deployment
Deep dive into the Three-Layer Pyramid Model for Agent development, covering autonomous agents, collaborative multi-agent systems, and universal orchestration agents with a complete learning path from beginner to industrial-grade deployment.
Read more →
Tutorials·3 min
RAG Technology Full-Stack Analysis: Core Principles, Enterprise Implementation & Learning Path
Deep analysis of RAG technology's core principles, three key values, enterprise implementation cases, common pitfalls, and a systematic learning roadmap covering vector databases, retrieval optimization, and Knowledge Graph fusion.
Read more →
Product Reviews·3 min
Running Qwen3.6-27B Locally on Mac: 4 Solutions Benchmarked
Benchmarking 4 solutions for running Qwen3.6-27B locally on Mac: GGUF, MLX Diflash, and MTP-LX. MTP-LX 4bit leads at 43.6 tok/s with solid coding, writing, and reasoning quality.
Read more →
Tutorials·3 min
Getting Started with LLM Application Development from Scratch: A Complete Guide to Learning Paths and Career Directions
A complete beginner's guide to LLM application development: learn the three key directions (API calling, RAG, Agent), master frameworks like LangChain, and follow a step-by-step learning path to become an AI application developer.
Read more →
Tutorials·3 min
Deep Agents: Enterprise-Grade Agent Engineering and Deep Research Implementation Guide
Learn how the Deep Agents framework solves enterprise AI Agent challenges like tool sprawl and context pollution, with a complete Deep Research implementation guide covering task decomposition, multi-source integration, and structured report generation.
Read more →
Tutorials·3 min
GStack Tutorial: 23 Commands That Give One Person an Entire AI Development Team
Deep dive into GStack, the open-source toolkit by YC President Gary Tan. 23 slash commands turn Claude Code into a full AI dev team covering product decisions to deployment.
Read more →
Industry Insights·2 min
NVIDIA Blackwell Sets New STAC-AI Records for Financial LLM Inference
NVIDIA Blackwell GPU sets new LLM inference records in STAC-AI financial benchmark. Explore Blackwell architecture advantages, TensorRT-LLM co-optimization, and LLM applications in trading and risk management.
Read more →
Tutorials·3 min
Enterprise AI Agent Four-Layer Architecture Design and PDCA Continuous Optimization Practical Guide
Deep dive into enterprise AI Agent four-layer architecture design (User, Gateway, Agent Service, Capability layers) with PDCA optimization methodology and dual manual+automated evaluation for production-grade Agent systems.
Read more →
Tutorials·2 min
Running Out of Codex Credits? AnySearch Skill Saves You Massive Token Overhead
Real-world testing shows AnySearch Skill saves ~27% Token overhead for Codex while significantly improving search quality. Learn how it works, how to install it, and when to use it.
Read more →
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.
Read more →
Tech Frontiers·2 min
Gemini Spark and Daily Brief: A Deep Dive into Google's Two AI Agent Tools
Deep analysis of Google Gemini team's two AI agent tools — Gemini Spark and Daily Brief — covering product positioning, core features, AI Agent trends, and Google's strategic agent ecosystem.
Read more →
Product Reviews·2 min
The Truth Behind Windsurf's "Unlimited Credits" Hack: Shared Account Pool Rotation Mechanism and Risk Analysis
Deep analysis of how Windsurf's "unlimited credits" actually works—third-party plugins rotate shared account pools, not an official bug. Covers mechanisms, security risks, and safer alternatives.
Read more →
Tutorials·3 min
Claude Design + GPT Image 2: A Complete Zero-to-Website AI Workflow Breakdown
A full breakdown of the AI website-building workflow using Claude Design wireframes, GPT Image 2 asset generation, and Claude Code integration—no coding required.
Read more →
Product Reviews·3 min
Kimi K2.6 Hands-On Review: A Zero-Barrier Experience for Building Dynamic Websites
Hands-on review of Kimi K2.6's Web Coding capabilities covering animation pages, corporate sites, and more. Built-in database and one-click deployment let anyone generate and launch dynamic websites via prompts.
Read more →
Product Reviews·2 min
GPT-5 Codex Deep Dive: 93% Token Savings But Tool Ecosystem Still Needs Work
Deep testing GPT-5 Codex: 93.7% Token savings on simple tasks with deeper reasoning on complex ones. But UI quality drops, search is poor, and tool ecosystem fragmentation remains a major issue.
Read more →
Tutorials·2 min
Advanced Codex Tips: Building a Cursor-Level Development Experience
Advanced OpenAI Codex tips including sidebar shortcuts, batch Agent sub-tasks, session management, and environment setup to create a Cursor-level development experience.
Read more →
Industry Insights·3 min
How Do AI Solo Companies Make Money? Four Monetization Paths with Practical Advice
Deep analysis of four monetization paths for AI solo companies: custom development, self-built apps, enterprise solutions, and AI content subscriptions — with real cases and practical startup advice.
Read more →