Best Claude Code Skills in 2026: 12 New Skills and What Changed
Important Claude Code skills shipped since February 2026, what each replaces, install commands, and the security problem that came with the marketplace.
Maximem Synap Blog14 min read
LangGraph
107 stories
AI Agent Guardrails Simplified - Prompt Injection, PII & More
Your AI agent doesn't need to be hacked to fail — sometimes a single sentence is enough. In this video, I break down the first of three guardrail layers every production AI agent needs, and show you exactly how to detect and block the most common input-side failures using Python.
Applied with AI
A2A Protocol: System Design for Multi-Agent Architecture
Why do most multi-agent AI systems fail in production? Learn how the A2A (Agent-to-Agent) Protocol works with the help of a complete architecture walkthrough.
The One AI Architect
Construct vs building your own AI agent
Building your own agent means wiring sandbox, apps, channels, memory, schedules, and user-facing activity summaries yourself. Construct provides those pieces as a hosted product.
Construct Computer Blog7 min read
How to Serve a Multi-User AI Agent with FastAPI and Streamlit
In this tutorial, I’ll show you how to serve a multi-user local AI agent as a REST API using FastAPI, then add a lightweight Streamlit UI on top. Instead of interacting with the agent through a termin
freeCodeCamp — ChatGPT11 min read
LangGraph human-in-the-loop: interrupt, approve, and resume from a phone
Two working patterns for LangGraph human-in-the-loop with Pushary: a blocking decisions.ask tool inside a node, and interrupt() with a webhook-driven resume.
Pushary Blog6 min read
LangChain agents tutorial: build a multi-step workflow in Python
Last Updated on June 12, 2026 A chatbot that answers questions from a knowledge base sounds impressive in a demo. Then someone asks it a question that requires checking two sources, comparing the results, and deciding whether to follow up.
Sebastian Thrun’s Introduction To Machine Learning Blog21 min readZapier vs. Make vs. LangGraph vs. an AI Department: Which One Fits Your Team?
Comparing Zapier, Make, LangGraph, and the new "AI department" category? They solve different problems for different people. Here is a plain-language decision guide to pick the right one.
Mindra Blog8 min readThe Best AI Agent Orchestration Tools in 2026 (Honest Comparison)
Zapier, Make, n8n, LangGraph, CrewAI, and Mindra all get called "AI orchestration," but they solve different problems. Here is an honest, plain-language guide to which one fits your team.
Mindra Blog9 min read
Human-In-The-Loop: Gen AI System Design Pattern for SAFETY
Your AI agent works perfectly. Until it refunds $20,000 instead of $2,000 at 3am, with no human watching. Or a scammer crafts a message that tricks it into sending money to a fraudster. No amount of self-critique catches this.
The One AI Architect
Pipeline & Parallel Patterns (Multi-Agent System Design)
When does the AI Router pattern fail? Today’s system design breakdown covers the Pipeline and Parallel scaling patterns for Multi-Agent Systems. We map out how to chain dependent agents, how to run independent agents simultaneously, and the exact architectural limit where both of these hardcoded…
The One AI Architect
What’s an agent gateway?
Learn what an AI agent gateway is, how it differs from an LLM gateway, and why autonomous agents need centralized routing, guardrails, and observability.
Portkey Blog6 min readAgent Orchestration Frameworks Compared: What Actually Ships in Production in 2026
Compare agent orchestration frameworks — Microsoft Agent Framework, Claude Agent SDK, and LangGraph — with real production trade-offs for 2026.
ZooData Blog9 min read
From Drowning in Logs to Conversing with Your Data: Introducing Maxmallow
Picture this: It's 3 AM, your AI agent is behaving erratically in production, and users are complaining. You open your observability dashboard and you're greeted with thousands of traces, sessions, and log entries. You know the answer is somewhere in there: but where do you even
Maxim AI Blog7 min readIntroducing LangWatch MCP: Test and evaluate AI Agents without leaving your workflow
The LangWatch MCP server brings agent evaluation into Claude, Cursor, and Copilot, so you version prompts, generate scenarios, and benchmark models in flow.
LangWatch Blog6 min read
What Are Agentic AI Workflows?
Agentic workflows primarily refer to AI-driven processes where autonomous agents complete tasks, make decisions, and coordinate with other agents in the system without (or with minimal) human intervention. The concept of this new approach is gradually evolving.
GraphBit Blog8 min read
Beyond the cloud: SLMs, local AI, agentic constellations, biology and a high value direction for AI progress
We’ve all heard it — “the future of AI is in the cloud.” But the real story is that the future might be smaller, closer, and more personal. From Small Language Models (SLMs) to localfirst AI, agentic constellations, and even bioinspired designs, the next big leap in AI isn’t about scale.
Pieces Blog8 min read
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