#LLM agent
3145 related articles
·2 min
MCP Protocol Explained: The Unified Standard for AI Tool Calling and a Practical Guide
Deep dive into MCP (Model Context Protocol): how it unifies LLM tool calling standards, enables cross-model tool reuse, and decouples Agents from tools for efficient AI development.
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·4 min
6 Must-Do Tasks Before Deploying Enterprise AI Agents: A Complete Guide to Observability + Evaluation
A detailed guide to 6 critical engineering challenges for enterprise AI Agents before production, covering Langfuse-based tracing, observability, evaluation stages, prompt governance, and high-concurrency architecture.
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·5 min
Building Data Agents with BigQuery and ADK: AgentOps in One Line of Code
Deep dive into Google Cloud's complete stack for building data Agents with BigQuery and ADK, covering MCP Toolbox parameterized SQL, managed MCP servers, and Agent Analytics one-line observability.
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·3 min
What Are AI Agents? A Deep Dive into the Three Core Components: Perception, Decision, and Action
A deep dive into AI Agents: their definition and three core components—Perception, Decision, and Action. Learn what distinguishes real AI agents from chatbots and automation scripts.
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·4 min
MCP + Skill in Practice: A Guide to Building an Automated Enterprise Regulatory Risk Alert System
A detailed guide on building an automated enterprise regulatory risk alert system using MCP protocol and Agent Skill, covering data collection, six evidence thresholds, applicability judgment, actionable measures, and delivery via Feishu/email.
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·3 min
EgoLite Browser Deep Dive: Why It's Better Than Playwright MCP for Personal AI Automation
Deep dive into EgoLite Agent browser, comparing it with Playwright MCP and Browser Use. Analyzing Space isolation, script-based operations, and Skill features.
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·2 min
Crew: A Multiplayer Workspace for Human-AI Collaboration, Making AI Agents True Team Members
Crew is a multiplayer workspace that integrates AI Agents into team collaboration, supporting task distribution, context sharing, and process visibility. A deep analysis of its vision and implications.
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·3 min
GitHub Daily · August 13: Local AI Tools Surge in Popularity, Privacy-First Becomes the Dominant Theme
GitHub Trending Aug 13: Local-first AI tools dominate with FluidVoice, unsloth, and modly, while Agent integration projects like holaOS and obsidian-skills reshape workflows.
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·4 min
OpenCode Practical Guide: Installation, Configuration & Usage Tutorial for This Open-Source Claude Code Alternative
Complete guide to OpenCode, the open-source Claude Code alternative: covers desktop and WSL installation, model configuration, rule files, custom commands, and MCP service integration.
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·3 min
Unsloth Desktop: The First Open-Source AI Desktop App Supporting Local Training + Inference
Unsloth Desktop is an open-source app for Mac/Windows/Linux that integrates local model training and inference with 2x speed, 70% VRAM savings, GGUF/MLX support, and Claude Code connectivity.
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·3 min
How a Senior Data Scientist Navigates Job Hunting After Being Laid Off: A Survival Guide for the AI Job Market
A senior data scientist with a Physics PhD and 4.5 years of experience gets laid off, revealing the AI job market's shift from traditional ML to Agent engineering. Practical advice on bridging skill gaps.
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·3 min
The Overlooked "Boring" Infrastructure Behind Production-Grade AI Agents
Exploring the core challenges of AI Agents moving from demo to production: idempotency, approval states, retries, action ledgers, audit tables, and other critical infrastructure design patterns.
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·3 min
Mistral's Patent Application for Code-Based Tool Calling Sparks Controversy: The Open Source vs. Patent Paradox
Mistral AI's patent filing for "code-based tool calling" sparks developer debate. Analysis of the technology, how it differs from JSON Function Calling, and its potential impact on the AI Agent open-source ecosystem.
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·2 min
AI Store Management Experiment: Friendly but Not Smart Enough — Revealing the True Capability Boundaries of AI Agents
A new study had AI independently run a store, revealing that AI shopkeepers are friendly but make poor business decisions. Analysis of AI Agent real-world capability limits.
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·3 min
Heym: Deep Dive into a Self-Hosted Visual Agent Building Platform
Heym is a self-hostable visual platform for building agentic systems, offering multi-agent workflow orchestration, built-in observability, human approval mechanisms, and MCP protocol support.
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·2 min
Tura: A New Approach to Saving 80% of Tokens for AI Agents
An in-depth analysis of how the Tura framework helps AI Agents reduce 80% of token consumption while improving task quality through intelligent context management and structured tool calling.
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·4 min
The Creator of Claude Code Shares 10 High-Efficiency AI Coding Tips
Claude Code creator Boris shares 10 practical AI coding tips in his viral talk, covering setup, prompting, planning, team collaboration, SDK usage, and multi-instance concurrency.
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·3 min
Website to Markdown API: Opening the Data Gateway for LLMs and RAG Systems
Deep dive into how Website to Markdown API solves LLM data ingestion challenges. Supports intelligent content extraction, JS rendering, and anti-bot measures to convert web pages and documents into AI-ready Markdown for RAG systems.
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·3 min
GitHub Daily · August 12: Claude Code Ecosystem Explosion and Extreme Edge Model Compression
GitHub Trending Aug 12: Claude Code ecosystem explodes with diagram-design topping charts, needle compresses models to 14MB for edge AI, and Rust rises in AI infrastructure.
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·3 min
Prompt Caching Explained: The Key Technology for Saving Money with AI Agents
Deep dive into Prompt Caching: how it works, why AI Agents repeatedly send tokens causing costs to skyrocket, and best practices to slash LLM costs by up to 90%.
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