#AI agent frameworks
2403 related articles
Tutorials·3 min
OpenAI Open-Sources GPT-OSS: Run O4-Level Models on 16GB VRAM — Complete Deployment Guide
OpenAI open-sources GPT-OSS (20B/120B) with MOE architecture and native FP4 precision. Run O3-level reasoning on a single RTX 4090. Full deployment guide for Ollama, vLLM, and more.
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Tutorials·3 min
Novi AI + Seedance 2.0 Hands-On Review: Complete Tutorial for One-Click 5-Minute AI Short Drama Generation
Hands-on review of Novi AI Agent with Seedance 2.0: one-click generation of 5-minute AI short dramas from script to final cut. Detailed workflow, results, and pricing analysis.
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Research·4 min
Continual Harness: AI Automatically Builds Scaffolding to Beat Pokémon RPGs
Princeton and Google DeepMind propose Continual Harness, enabling LLM agents to automatically build and optimize scaffolding to beat multiple Pokémon RPGs without human intervention, cutting costs by 40%.
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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
Claude Code vs Cursor vs Windsurf: In-Depth 2025 AI Coding Tool Comparison & Selection Guide
In-depth comparison of Claude Code, Cursor, and Windsurf's core differences and use cases. Covers Codex, Devin, CodeRabbit, practical workflows, and the best AI coding tool combination for 2025.
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Tech Frontiers·4 min
ApiFlow Challenge: AI Generates Automation Workflows from a Single Sentence — Submit Your Use Case to Win $100 Computing Credits
ApiFlow is an AI-native integration platform that generates automation workflows from a single sentence. The team is seeking 10 real-world scenarios — participate to win $100 computing credits and more.
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Product Reviews·3 min
Sim Studio: Deep Dive into the Open-Source AI Agent Workflow Platform with Nearly 10K Stars
Deep analysis of open-source AI workflow platform Sim Studio with nearly 10K GitHub Stars. Apache 2.0 licensed, supports full local deployment and Ollama local LLM integration. Compared with Dify and n8n.
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Product Reviews·4 min
Get Shit Done: Full Breakdown of the 60K-Star Claude Code Meta-Prompting & Spec-Driven Development System
Deep dive into Get Shit Done (GSD), a 62K-star GitHub project built for Claude Code. Covers meta-prompting, context engineering & spec-driven development.
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Product Reviews·3 min
gstack Explained: A Complete Breakdown of Garry Tan's 23 Open-Source Claude Code Tools
YC CEO Garry Tan open-sourced gstack, a Claude Code toolset with 23 role-based AI tools covering CEO, Designer, Engineering Manager, QA and more. 97K+ GitHub stars. Full breakdown inside.
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Tech Frontiers·3 min
OpenAI Restructures to Go All-In on AI Agents: Brockman Takes Command of Product Lines for the 2025 Agent Battle
OpenAI announces major restructuring with President Greg Brockman overseeing all products, consolidating lines to go all-in on AI Agents. Analysis of strategy, competition, and commercialization.
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Tutorials·4 min
Coze Programming Skill Invocation Tutorial: Generate Interactive Learning Webpages in Three Steps
Step-by-step tutorial on using Coze programming platform's skill invocation to auto-generate interactive learning webpages in 3 steps, with Pythagorean theorem and Newton's First Law examples.
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Tech Frontiers·3 min
AI Radio Experiment: Claude, ChatGPT, Gemini, and Grok Run Stations Independently — The Results Are Surprising
Andon Labs had Claude, ChatGPT, Gemini, and Grok independently run radio stations. The experiment reveals real capability limits of autonomous AI in content quality, trustworthiness, and long-term stability.
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Product Reviews·4 min
Genspark VS Manus Real-World Comparison: Who Wins in 5 Key Scenarios?
Real-world comparison of Genspark and Manus AI Agents across 5 scenarios: poster design, PPT creation, research, data analysis, and web development—evaluating credits, speed, and output quality.
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Tutorials·4 min
Manus AI Tutorial: The Three-Layer Expression Method to Triple Your Efficiency (With 19 Real-World Scenarios)
A detailed guide to Manus AI Agent's core capabilities and usage techniques, using the Three-Layer Expression Method to issue precise instructions across 19 real-world scenarios including workplace reporting, data analysis, and side income.
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Product Reviews·3 min
Crush CLI: The Fastest Terminal AI Coding Assistant Built with Go
Crush CLI is a Go-based terminal AI coding assistant reborn from OpenCode, featuring LSP enhancement, multi-model switching, and multi-session management. Pair it with free Qwen 3 Code for zero-cost professional AI coding assistance.
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Product Reviews·4 min
Trae Solo vs Cursor Real-World Comparison: Which AI Coding Tool Builds a Better Student Management System?
Real-world comparison of Trae Solo vs Cursor building a Python Flask student management system, testing architecture design, code generation speed, runtime results, and practical recommendations.
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Product Reviews·4 min
ZCF Zero-Config Code Flow Tool: Essential for Claude Code and Codex Developers
ZCF (Zero-Config Code Flow) is an open-source zero-config workflow tool for Claude Code and Codex with ~6000 GitHub Stars. Learn its architecture, features, and how it solves AI coding integration challenges.
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Deep Dives·3 min
ReAct Pattern and Transformer Architecture Explained: High-Frequency AI Interview Topics for Frontend Developers
Deep dive into Agent core logic ReAct (Reasoning + Acting) execution flow, Transformer self-attention mechanism, and essential AI skills for frontend developers including prompt engineering, RAG, and Agent development.
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Deep Dives·3 min
Two Root Causes of Agent Context Rot: Distraction vs. Poisoning Explained
AI Agent getting dumber over time? Context Rot has two root causes: Distraction (attention dilution) and Poisoning (causal chain contamination). Learn symptoms, mechanisms, and remediation strategies.
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Expert Opinions·3 min
TypeScript + Zod: The Essential Skill Combo for AI Full-Stack Development
Deep dive into why TypeScript + Zod is the core tech stack for AI full-stack development. Covering type safety, unified full-stack architecture, and AI output validation for enterprise-grade workflows.
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