#agent platform
2992 related articles
Product Reviews·3 min
ZeroClaw: Deep Dive into the Multi-MCP Router & SDK Toolkit for Claude Code
Deep dive into ZeroClaw Plugin Hub, a multi-MCP router and SDK toolkit for Claude Code. Explore its routing capabilities, Agentic CLI design, SDK architecture, and how it solves AI tool ecosystem fragmentation.
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Tutorials·2 min
Simon Willison Built a Wildlife Sightings Feature for His Blog Using Claude Code on His Phone
Simon Willison used Claude Code for web on his phone to aggregate a decade of iNaturalist wildlife data into his blog. A look at the architecture, Beats system, and how AI is reshaping dev workflows.
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Deep Dives·4 min
Kortix Open-Sources Agent Computer Use: A Rust-Powered CLI Tool for AI Computer Control
Kortix AI open-sources Agent Computer Use, a high-performance Rust CLI tool enabling AI agents to control computers. Explore its architecture, advantages over Anthropic's Claude Computer Use, and future of open-source computer control tools.
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Product Reviews·3 min
Simon Willison's Complete Process of Building an iNaturalist Observation Gallery with Phone + Claude Code
Simon Willison built an iNaturalist observation gallery using only his phone and Claude Code while camping. A breakdown of the three-layer architecture: Python CLI clustering, Git Scraping automation, and AI-generated frontend.
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Deep Dives·3 min
LLM 0.32 Refactor: How Message Sequences and Streaming Chunks Are Reshaping Python LLM Interactions
Simon Willison releases LLM 0.32a0 alpha with message sequences and typed streaming chunks, redefining how Python developers interact with LLMs while maintaining full backward compatibility.
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Deep Dives·4 min
Agent, MCP, and Function Calling: A Complete Guide to Their Differences and Relationships
A deep dive into the relationships between AI Agent, MCP protocol, Function Calling, and Prompt. From basics to full architecture, build a clear cognitive framework for AI app development.
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Tutorials·3 min
Building an AI Digital Human Agent from Scratch: Architecture Design & Full Technical Breakdown
Complete guide to building an AI digital human Agent, covering Agent, RAG, WebRTC, and Docker deployment with architecture design and engineering best practices.
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Tech Frontiers·2 min
Codex Adds OpenAI Developers Plugin — Building AI Apps with AI Just Got Easier
OpenAI Codex adds the Developers plugin, letting developers directly access OpenAI API docs and best practices to rapidly build AI Agents and smart apps.
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Deep Dives·3 min
Claude's Advisor Strategy: Small Models Execute, Large Models Supervise — A New Cost-Saving Paradigm for AI Agents
Anthropic's Advisor Strategy lets Sonnet execute tasks while Opus serves as advisor, cutting costs 12% while boosting SWE-Bench by 2.7 points. A new multi-model AI Agent paradigm explained.
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Tech Frontiers·3 min
OpenAI Codex 2.0 Deep Dive: From Coding Assistant to All-Purpose AI Agent
OpenAI Codex major update: new Computer Use, built-in browser, long-term memory features. 3M weekly developers. How Codex evolved from coding assistant to full SDLC AI Agent.
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Tutorials·3 min
Andrew Ng's New Course: A Practical Guide to Data Governance for Enterprise AI Agents
Andrew Ng and Databricks launch an AI Agent data governance course covering least privilege principles, Unity Catalog permissions, MLflow tracing, and a complete governance lifecycle from build to deployment. Free to learn.
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Product Reviews·3 min
Tensorlake Skills: Giving AI Coding Agents Real-Time Access to Up-to-Date Documentation
Tensorlake Skills is a skill module for AI coding agents like Claude Code and OpenAI Codex, routing them to real-time docs on sandboxes, orchestration, and SDKs to fix outdated training data issues.
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Product Reviews·3 min
AGENTS.md Coding Rules Put to the Test: Code Quality Unchanged, Development Efficiency Significantly Improved
A developer tested AGENTS.md coding rules across 40 PRs on three AI coding Agents. Results: code quality unchanged, but fewer tool calls, faster completion, and lower costs.
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Deep Dives·3 min
Why Is AI Agent Testing So Hard? How Simulation Testing Cracks the Infinite Input Space Problem
AI Agents face infinite input spaces and non-deterministic outputs. Learn how simulation testing systematically validates Agent reliability through scenario generation, environment simulation, and behavior evaluation.
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Tech Frontiers·3 min
Simulation Reshaping AI Testing: A New Paradigm for Systematically Validating AI Application Reliability
Explore how simulation solves AI testing challenges, covering scenario simulation, large-scale regression testing, and multi-agent verification to build reliable AI systems.
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Deep Dives·3 min
CC-Switch: An Open-Source Desktop Tool to Manage Six Major AI Coding Assistants in One Interface
CC-Switch is a Rust-based cross-platform desktop app that unifies Claude Code, Codex, Gemini CLI, and three other AI coding assistants in one interface, with 67,000+ GitHub Stars.
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Tech Frontiers·3 min
Karpathy Open-Sources autoresearch: A Deep Dive into the AI-Powered Automated Research Tool with 80K Stars
Andrej Karpathy open-sources autoresearch, an AI Agent tool that automates nanochat training experiments on a single GPU. With 80K+ GitHub Stars, we break down its architecture and impact.
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Product Reviews·3 min
PyGPT: Open-Source Desktop AI Assistant with All-in-One Integration of GPT, Claude, Ollama, and More
Deep dive into PyGPT, an open-source desktop AI assistant supporting GPT-4, Claude, Gemini, Ollama local models, with built-in RAG, agents, voice interaction, and image generation.
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Tutorials·3 min
The Complete Guide to MLflow: An Open-Source AI Engineering Platform from Experiment Tracking to LLM Deployment
A deep dive into the MLflow open-source AI engineering platform, covering experiment tracking, LLM evaluation, model deployment, and monitoring to help teams efficiently manage the ML lifecycle.
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Tech Frontiers·2 min
DeepAgents: LangChain's Deep Agent Development Framework Built on LangGraph
DeepAgents is LangChain's open-source Agent framework built on LangGraph, supporting multi-step reasoning, state management, and multi-Agent collaboration for production-grade AI development.
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