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Agentic AI
Building, coordinating, and shipping AI agents.
25 articles
01
Agentic AI
A Skill Is a Dependency That Runs Code
An Agent Skill is not a prompt template. It carries injectable instructions and executable scripts, so treat it like any package you install.
August 2, 2026
8 min
August 2, 2026
8 min
02
Agentic AI
Skills vs MCP vs Tools vs Subagents: Stop Conflating Them
Four different answers to "extend the agent," each solving a different problem. They stack, they do not compete.
August 2, 2026
8 min
August 2, 2026
8 min
03
Agentic AI
What Agent Skills Are, and Why Progressive Disclosure Changes the Math
A skill is a folder of know-how an agent loads only when a task needs it. The mechanism underneath is the whole point.
August 2, 2026
7 min
August 2, 2026
7 min
04
Agentic AI
How to Evaluate Agents Locally with Arize Phoenix
Trace and judge your agent on your own machine, no hosted service required
July 12, 2026
7 min
July 12, 2026
7 min
05
Agentic AI
What Is AgentOps? Operating AI Agents in Production
How MLOps and LLMOps extend to autonomous, multi-step agents
July 12, 2026
6 min
July 12, 2026
6 min
06
Agentic AI
Building Agents That Actually Work
The practical habits that separate a reliable agent from a flaky demo: simpler workflows, better information flow, and a debugging ladder
July 2, 2026
10 min
July 2, 2026
10 min
07
Agentic AI
CodeAgent vs ToolCallingAgent: Two Ways to Let an Agent Act
The difference between an agent that writes Python and one that emits JSON, with strengths, limits, use cases, and when to pick each
July 2, 2026
9 min
July 2, 2026
9 min
08
Agentic AI
The Agent Loop: Building ReAct From Scratch
Reason, act, observe, repeat. The whole engine is about 20 lines, and one counting rule explains all of it.
June 28, 2026
14 min
June 28, 2026
14 min
09
Agentic AI
@Claude in Your Slack: What Claude Tag Actually Changes
Anthropic put an agent in the channel where the work already happens. Here is why that matters more than the model behind it.
June 25, 2026
7 min
June 25, 2026
7 min
10
Agentic AI
Graph, State Machine, or Plain Loop: How to Structure an Agent
Most agents start as a while loop and should stay that way. Here is how to know when you have actually outgrown it.
June 24, 2026
8 min
June 24, 2026
8 min
11
Agentic AI
Streaming Tool Calls and Partial Outputs in LangGraph
Token streaming is the easy part. Streaming what a tool is doing, mid-call, is what makes an agent feel alive.
June 24, 2026
9 min
June 24, 2026
9 min
12
Building with DeepAgents · Part 5
Human-in-the-Loop in DeepAgents: Approve Before It Acts
Why some tool calls need a person, and how to gate them with interruptOn, decisions, and a checkpointer
June 23, 2026
11 min
June 23, 2026
11 min
13
Building with DeepAgents · Part 4
Why Skills Matter When You Build an Agent
Progressive disclosure, the three load levels, and how to write a SKILL.md the agent actually activates
June 23, 2026
10 min
June 23, 2026
10 min
14
Building with DeepAgents · Part 3
Memory in DeepAgents: How Agents Learn Across Conversations
Filesystem-backed memory, user versus agent scope, and background consolidation, with the TypeScript to wire each one
June 23, 2026
9 min
June 23, 2026
9 min
15
Building with DeepAgents · Part 2
Subagents in DeepAgents: Delegation That Keeps Context Clean
How the task tool works, when to delegate, and the config that decides whether subagents help or hurt
June 23, 2026
10 min
June 23, 2026
10 min
16
Building with DeepAgents · Part 1
Context Engineering in DeepAgents, From the Inside
What goes into a deep agent's context, what the framework manages for you, and the knobs you actually control
June 23, 2026
12 min
June 23, 2026
12 min
17
Agentic AI
LangGraph State, Checkpointing, and Persistence Explained
How a graph remembers: state channels, checkpointers, threads, and the time travel you get for free
June 22, 2026
7 min
June 22, 2026
7 min
18
Agentic AI
Guardrails and Safety for Agents in Production
Defense in depth for agents: input rails, output checks, tool limits, and the injection problem that will not fully go away
June 22, 2026
7 min
June 22, 2026
7 min
19
Agentic AI
Inside Vercel's Eve: A Deep Technical Walkthrough, with a Research Agent
What Eve is, every capability that matters, a full TypeScript research agent, and how it compares to LangChain's Deep Agents
June 21, 2026
27 min
June 21, 2026
27 min
20
Agentic AI in Practice · Part 7
Agent Memory: Short-Term vs Long-Term, and How to Wire It Up
Threads are short-term memory. Stores are long-term memory. Most agent memory bugs come from confusing the two.
June 20, 2026
7 min
June 20, 2026
7 min
21
Agentic AI in Practice · Part 6
Deep Agents by LangChain: A Deep Dive, with a Customer Support Agent
Why Deep Agents exists, what it gives you out of the box, and a full support agent you could actually ship
June 19, 2026
16 min
June 19, 2026
16 min
22
Agentic AI in Practice · Part 5
Evaluating Agents with LangSmith: A Complete Guide
Why "it worked when I tried it" is not evaluation, and how to measure agents properly with tracing, datasets, evaluators, and experiments
June 19, 2026
11 min
June 19, 2026
11 min
23
Agentic AI in Practice · Part 4
Building MCP Servers with FastMCP: A Practical Guide
The anatomy of a server, the rules that matter, stdio vs remote, the pitfalls I hit, and how to test and ship it
June 19, 2026
9 min
June 19, 2026
9 min
24
Agentic AI in Practice · Part 3
Giving Agents Tools: Function Calling and MCP, Explained
How agents actually do things, how to design tools they use well, and where MCP fits
June 19, 2026
8 min
June 19, 2026
8 min
25
Agentic AI in Practice · Part 1
What Are AI Agents, and What Is a Multi-Agent System?
A plain-English tour of agents, why people wire several together, and how to build one in Python
June 19, 2026
10 min
June 19, 2026
10 min