Tag: #ai-agent
Writing on GPUs, LLMs, MLOps, Kubernetes — and mindset · 66 posts
AI Agent Engineer Career Guide: The Hottest AI Role of 2025
AI Agent Engineer is the fastest-growing AI role in 2025 ($47B market projection). LangGraph, CrewAI, AutoGen, Swarm, Claude Agent SDK — framework comparison, design patterns, evaluation methods, interview prep, and lear
2026-03-23 · 25 min read #ai-agent#langchain#langgraph#crewai#autogenMCP Complete Guide: Why Model Context Protocol Became the USB-C of AI with 97M Downloads
Built by Anthropic, adopted by OpenAI and Google, donated to Linux Foundation. MCP hit 97M monthly downloads — the complete guide to building MCP servers, understanding the architecture, and joining the AI agent revoluti
2026-03-22 · 21 min read #mcp#ai#anthropic#openai#google2025 AI Research Trends: Top HuggingFace Papers and 10 Defining Research Directions
A developer-focused review of HuggingFace trending papers and the 10 defining AI research trends of 2025. DeepSeek-R1 pure RL reasoning, Nemotron-Cascade 30B/3B MoE, GRPO, PagedAttention, million-token context limitation
2026-03-21 · 15 min read #ai-research#papers#huggingface#reasoning#moeModel Context Protocol (MCP) Complete Guide: The New Standard for AI-World Integration
Anthropic's MCP is the USB-C of AI tool integration — write your server once, use it with any AI client. This guide covers MCP architecture, building a Python server from scratch, and honest comparisons with OpenAI funct
2026-03-18 · 7 min read #mcp#model-context-protocol#anthropic#claude#ai-agentTool Calling in Practice: How AI Interacts with the World and Common Pitfalls
Tool calling is what transforms an LLM from a text transformer into an agent that can actually do things. Full implementation of OpenAI function calling and Claude tool use, parallel execution patterns, and the five mist
2026-03-18 · 9 min read #tool-calling#function-calling#ai-agent#llm#ai-developmentMulti-Agent Systems Compared: AutoGen vs CrewAI vs LangGraph — Which Should You Choose?
AutoGen, CrewAI, LangGraph — a practical comparison of three multi-agent frameworks with real code. Learn which one fits your use case, what each gets wrong, and the production pitfalls that apply regardless of which fra
2026-03-18 · 9 min read #multi-agent#autogen#crewai#langgraph#ai-agentLLM Agent Design Patterns: From ReAct to Multi-Agent Orchestration
ReAct, Chain of Thought, Plan-and-Execute, Reflection, Tree of Thoughts — a practical breakdown of which LLM agent design pattern to use and when, from an engineer who has built them in production.
2026-03-18 · 9 min read #ai-agent#react#llm#design-patterns#ai-developmentAgent Memory System Design: Everything About How AI Agents Remember
LLMs have no memory by default. How do we solve this fundamental limitation? From four memory types to production architecture and the Mem0 framework — a complete guide to agent memory systems.
2026-03-18 · 8 min read #agent-memory#ai-agent#long-term-memory#langchain#mem0Agentic AI Developer Tools 2026: 1,500 Startups and USD 2.8B in Innovation
In 2026, 1,500+ agentic AI startups operate globally, with developer agent framework adoption surging 920%. Tools like Devin AI, GitHub Copilot Workspace, Cursor, and Windsurf are fundamentally transforming software deve
2026-03-17 · 7 min read #ai-agent#developer-tools#productivity#2026-03Open Source Community Digest: Noteworthy Projects of March 2026
A roundup of the most exciting open source projects and community highlights from March 2026.
2026-03-17 · 9 min read #opensource#github#ai-agent#developer-tools#communityLLM Agents & Agentic AI: The Complete Guide — ReAct, Multi-Agent, MCP and Beyond
A comprehensive 2026 guide to Agentic AI covering ReAct framework, Tool Use, multi-agent orchestration, MCP (Model Context Protocol), and computer-use agents.
2026-03-17 · 15 min read #llmagents#multiagent#langgraph#crewai#mcpModel Context Protocol in Production: Server Boundaries, Tool Governance, and Transport Choices
A production-focused guide to Model Context Protocol covering server boundaries, tool and resource design, transport selection, authentication, token budgeting, and operational governance.
2026-03-17 · 7 min read #ai-platform#mcp#model-context-protocol#ai-agent#tool-governanceAI Agents Complete Guide: Building Autonomous AI Systems with LangChain, LangGraph, and CrewAI
A comprehensive guide to mastering AI agent systems. Build autonomous AI systems with real-world examples covering ReAct, Tool Use, and Function Calling through to LangChain agents, LangGraph workflows, and CrewAI multi-
2026-03-17 · 22 min read #ai-agent#langchain#langgraph#crewai#autonomous-aiAI Agent Orchestration Frameworks 2026: LangGraph vs CrewAI vs AutoGen Complete Guide
Complete comparison guide for AI agent orchestration frameworks in 2026. Learn the key differences between LangGraph, CrewAI, AutoGen, and Dify with practical examples and selection criteria for your use case.
2026-03-16 · 8 min read #ai#ai-agent#langchain#llm#frameworkNIST AI Agent Security Framework: Threat Models and Security Architecture for the Agentic AI Era
Built on the NIST CAISI AI Agent Standards Initiative, this practitioner-focused guide covers the 3 pillars of agentic AI security (identity, isolation, monitoring), a threat taxonomy, the OWASP LLM Agent Top 10, zero tr
2026-03-14 · 28 min read #networking#security#ai-agent#nist#threat-modelAI Coding Agent Sandboxing: Secure Code Execution Isolation and Security Operations Guide
As AI coding agent autonomy increases in 2026, security isolation has become essential. Covers practical sandboxing technologies including macOS sandbox-exec, container-based isolation, MicroVM, and operations guides.
2026-03-14 · 23 min read #ai-agent#sandboxing#security#ai-platform#devopsAI Agent Multi-Agent Orchestration Patterns: A Practical Guide to Hierarchical, Pipeline, and Swarm Architectures
From single agents to multi-agent collaboration — design principles for hierarchical, pipeline, and swarm patterns with hands-on implementations using LangGraph, CrewAI, and AutoGen.
2026-03-14 · 25 min read #ai-platform#ai-agent#multi-agent#orchestration#workflowAI Agent Function Calling Practical Implementation: Tool Use Patterns, Error Handling, Security Design, and Production Deployment
Practical implementation of Function Calling and Tool Use patterns. Covers OpenAI, Anthropic, LangChain tool calling APIs, error handling, retry strategies, prompt injection defense, and MCP standard for production chatb
2026-03-12 · 21 min read #chatbot#function-calling#tool-use#ai-agent#langchainChatbot Tool Calling Guardrails Design: Safe Tool Invocation Architecture in Practice
Covers guardrail design for safely operating tool-calling chatbots in production. Addresses schema validation, permission control, policy engines, risk scoring, observability, and regression testing with code.
2026-03-04 · 18 min read #chatbot#tool-calling#guardrails#ai-agent#securityComplete Guide to LLM Function Calling: From Tool Use Patterns to Production Design
A deep dive into the Function Calling (Tool Use) mechanism of LLMs. Covers implementation methods across OpenAI, Anthropic, and open-source models, along with error handling, parallel invocation, and production design pa
2026-03-03 · 8 min read #llm#function-calling#tool-use#openai#ai-agent