#agent development
4275 related articles
Tutorials·3 min
One Month Into My Internship Without Writing a Single Line of Code: A Practical Guide to AI Agent Coding
AI agent coding is now reality in 2025. Learn how to set up OpenCode with DeepSeek and let AI agents write your code through conversation, not copy-paste.
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Deep Dives·3 min
Deep Dive into Hermes Agent: A Self-Evolving AI Framework That Uses Fewer Tokens Than OpenManus
Deep analysis of Hermes Agent: lower Token usage than OpenManus, persistent long-term memory, and a self-learning loop. See how this 120K-Star GitHub project redefines AI Agents.
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Tutorials·2 min
AI Canvas Agent Is Here: How to Use Node-Based Creative Workflows
A deep dive into AI canvas node-based creative workflows, covering AI image generation, video generation, 4K output, and multi-model orchestration for visual AI content creation.
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Research·3 min
MEMOIR: Solving AI Agent Memory Management with Git Version Control
MEMOIR is an open-source tool bringing Git version control to AI Agent memory management, with branching, rollback, semantic paths, and visualization to solve context pollution and memory drift.
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Tutorials·3 min
Andrew Ng's 2025 New Course: Core Methodology and Best Practices for Building AI Agents
A deep dive into Andrew Ng's latest Deeplearning.AI course on AI Agents, covering Agentic AI use cases, disciplined development workflows, evaluation frameworks, and error analysis methodology.
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Product Reviews·3 min
AI Voice Workshop + AI Audio Workshop: One Person Can Complete the Entire Production Pipeline for Radio Drama-Quality Audiobooks
AI Voice Workshop and AI Audio Workshop Studio Edition enable full-pipeline audiobook production through AI Agent architecture—from text analysis and character voice acting to post-production mixing.
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Tutorials·4 min
AI-Powered Research in Practice: From LLM Selection to Building Automated Workflows with N8N
A deep dive into AI-driven research methodology: LLM selection, Python automation, Zotero reference management, Overleaf writing, local LLM deployment, and N8N workflow automation.
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Deep Dives·4 min
From Copilot to Agentic AI: A Complete Guide to Multi-Agent Collaboration Architectures
Deep dive into AI's four-stage evolution from Chat to Agentic AI, covering multi-Agent architectures, ReAct framework, and MCP protocol for developers.
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Tutorials·3 min
Hands-On Testing OpenAI's Four New APIs: From GPT-4 Turbo to AI Agent Commercial Deployment
Hands-on testing of OpenAI's GPT-4 Turbo, DALL·E 3, Vision, and TTS APIs on AI2Apps, building an AI Agent that auto-generates novel covers from text.
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Tech Frontiers·2 min
Datasette Launches Official Blog: Simon Willison Built It from Scratch with OpenAI Codex
Datasette founder Simon Willison launches official blog built with OpenAI Codex Desktop, sharing full AI session transcripts and demonstrating transparent AI-assisted development practices.
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Tutorials·4 min
Complete Guide to Agentic RAG: Principles, Architecture, and Hands-On Implementation
Deep dive into Agentic RAG principles and implementation. Compare traditional RAG limitations, learn tool-based retrieval with ReAct Agent loops, with LangChain/LangGraph code examples.
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Industry Insights·2 min
Uber's AI Agent Platform Now Contributes 11% of PRs — The Engineering Role Is Transforming
Uber reveals its internal Agentic Developer Platform now generates 11% of all PRs. Learn how Uber moved from AI-assisted to AI-autonomous coding and how engineering roles are transforming.
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Expert Opinions·2 min
The Abuse of the AI Agent Concept: Why "11 AI Agents" Is Meaningless
When companies claim "11 AI Agents," what does that number mean? This article dissects the vague definitions, quantity marketing, and Agent Washing plaguing the AI industry.
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Expert Opinions·3 min
Sam Altman in Conversation with Garry Tan: How OpenAI and YC Are Co-Shaping the AI Startup Ecosystem
Sam Altman and YC President Garry Tan discuss the convergence of OpenAI's foundation models and YC's startup ecosystem, revealing key signals about the next phase of AI entrepreneurship.
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Expert Opinions·3 min
Sequoia Capital's Conversation with AI Expert: How the Von Neumann Architecture Shapes the Future of AI
Sequoia Capital's deep conversation with AI expert Konstantine explores how von Neumann's architecture and ideas profoundly shape modern AI development, from computing paradigms to the pursuit of AGI.
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Deep Dives·3 min
ARS Academic Framework Explained: A Complete System Where 35 AI Agents Collaborate on Research
Deep dive into the ARS academic framework: how 35 AI Agents collaborate on literature review, paper writing, and quality assessment with a ten-step workflow, multi-layer quality control, and academic integrity safeguards — all for just $4-6.
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Product Reviews·3 min
How to Choose an AI Agent Framework in 2026? Pros and Cons of Four Leading Solutions
Compare four leading AI Agent frameworks in 2026: Coze, AutoGen, CrewAI, LangChain, and AutoGen Studio — covering coding requirements, private deployment, and commercialization.
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Product Reviews·4 min
AI Agent Framework Selection in 2025: Pros and Cons of Coze, AutoGPT, LangChain, and AutoGen
2025 comparison of four major AI Agent frameworks: Coze for beginners, AutoGPT/LangChain/MetaGPT for developers, Microsoft AutoGen for enterprise self-hosted deployment. A practical selection guide.
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Deep Dives·3 min
98 Expert Agents Working in Concert: A Deep Dive into an Open-Source Multi-Agent Orchestration Framework
Deep dive into a trending open-source multi-agent framework with 98 expert agents, swarm orchestration, HNSW vector memory, autonomous learning, and Agent Federation for distributed collaboration.
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Product Reviews·2 min
Roo Code Arena Mode and Plan Mode Explained: New Ways to Use Your AI Coding Assistant
Roo Code launches Arena Mode for blind AI model comparison and Plan Mode for plan-first coding workflows, enhancing AI-assisted programming control and evaluation.
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