Tag

Agentic AI

34 articles

Agentic AIA Skill Is a Dependency That Runs CodeAn Agent Skill is not a prompt template. It carries injectable instructions and executable scripts, so treat it like any package you install.August 2, 20268 minAugust 2, 20268 min
Agentic AISkills vs MCP vs Tools vs Subagents: Stop Conflating ThemFour different answers to "extend the agent," each solving a different problem. They stack, they do not compete.August 2, 20268 minAugust 2, 20268 min
Agentic AIWhat Agent Skills Are, and Why Progressive Disclosure Changes the MathA 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, 20267 minAugust 2, 20267 min
Agentic AIHow to Evaluate Agents Locally with Arize PhoenixTrace and judge your agent on your own machine, no hosted service requiredJuly 12, 20267 minJuly 12, 20267 min
Agentic AIWhat Is AgentOps? Operating AI Agents in ProductionHow MLOps and LLMOps extend to autonomous, multi-step agentsJuly 12, 20266 minJuly 12, 20266 min
AI InfrastructureTracing in Agent Observability: What It Is and Why It MattersTraces, spans, and why a readable trace is the fastest way to debug a misbehaving agentJuly 12, 20267 minJuly 12, 20267 min
LLM IntegrationWhat the Research Actually Says About Prompting ReasoningThe taxonomy of reasoning elicitation, and the uncomfortable retrieval-vs-reasoning debate every agent builder should sit withJuly 3, 20264 minJuly 3, 20264 min
Agentic AIBuilding Agents That Actually WorkThe practical habits that separate a reliable agent from a flaky demo: simpler workflows, better information flow, and a debugging ladderJuly 2, 202610 minJuly 2, 202610 min
Agentic AICodeAgent vs ToolCallingAgent: Two Ways to Let an Agent ActThe difference between an agent that writes Python and one that emits JSON, with strengths, limits, use cases, and when to pick eachJuly 2, 20269 minJuly 2, 20269 min
Prompt Engineering, Properly · Part 14Prompting Reasoning Models Is Almost the Opposite of Prompting Chat ModelsWhy the step-by-step prompts you learned in this series can hurt an o3 or Claude with thinking onJuly 1, 20267 minJuly 1, 20267 min
LLM IntegrationART: Let the Model Write Its Own Tool-Using ReasoningAutomatic Reasoning and Tool-use, and why it reads like an early sketch of the agents we build todayJuly 1, 20265 minJuly 1, 20265 min
Agentic AIThe Agent Loop: Building ReAct From ScratchReason, act, observe, repeat. The whole engine is about 20 lines, and one counting rule explains all of it.June 28, 202614 minJune 28, 202614 min
AI InfrastructureGit Worktrees Are Having a Moment Because of AI AgentsWorktrees have existed since 2015. They got popular in 2026 because we stopped working one branch at a time.June 25, 20267 minJune 25, 20267 min
Agentic AI@Claude in Your Slack: What Claude Tag Actually ChangesAnthropic put an agent in the channel where the work already happens. Here is why that matters more than the model behind it.June 25, 20267 minJune 25, 20267 min
AI InfrastructureObservability for LLM Apps: What to Log, What to Alert OnYour 500s and latency graphs will look fine while the product quietly gives wrong answers. LLM observability is about catching the failures that do not throw.June 24, 20267 minJune 24, 20267 min
Agentic AIGraph, State Machine, or Plain Loop: How to Structure an AgentMost agents start as a while loop and should stay that way. Here is how to know when you have actually outgrown it.June 24, 20268 minJune 24, 20268 min
AI InfrastructureCaching Agent Tool Calls (Not Just Prompts)Prompt caching saves you tokens. Caching tool calls saves you the slow, flaky, expensive thing the tool actually does.June 24, 20269 minJune 24, 20269 min
Agentic AIStreaming Tool Calls and Partial Outputs in LangGraphToken streaming is the easy part. Streaming what a tool is doing, mid-call, is what makes an agent feel alive.June 24, 20269 minJune 24, 20269 min
AI InfrastructureFive Projects to Actually Master AI Engineering (for Experienced Engineers)Skip the toy chatbots. Build the five systems that teach the hard parts: retrieval, agents, evals, cost, and reliability.June 23, 20267 minJune 23, 20267 min
Building with DeepAgents · Part 5Human-in-the-Loop in DeepAgents: Approve Before It ActsWhy some tool calls need a person, and how to gate them with interruptOn, decisions, and a checkpointerJune 23, 202611 minJune 23, 202611 min
Building with DeepAgents · Part 4Why Skills Matter When You Build an AgentProgressive disclosure, the three load levels, and how to write a SKILL.md the agent actually activatesJune 23, 202610 minJune 23, 202610 min
Building with DeepAgents · Part 3Memory in DeepAgents: How Agents Learn Across ConversationsFilesystem-backed memory, user versus agent scope, and background consolidation, with the TypeScript to wire each oneJune 23, 20269 minJune 23, 20269 min
Building with DeepAgents · Part 2Subagents in DeepAgents: Delegation That Keeps Context CleanHow the task tool works, when to delegate, and the config that decides whether subagents help or hurtJune 23, 202610 minJune 23, 202610 min
Building with DeepAgents · Part 1Context Engineering in DeepAgents, From the InsideWhat goes into a deep agent's context, what the framework manages for you, and the knobs you actually controlJune 23, 202612 minJune 23, 202612 min
Agentic AILangGraph State, Checkpointing, and Persistence ExplainedHow a graph remembers: state channels, checkpointers, threads, and the time travel you get for freeJune 22, 20267 minJune 22, 20267 min
Agentic AIGuardrails and Safety for Agents in ProductionDefense in depth for agents: input rails, output checks, tool limits, and the injection problem that will not fully go awayJune 22, 20267 minJune 22, 20267 min
AI InfrastructureHow I Learn to Build Production AI Systems by Dissecting Open SourceThere are no good production-grade courses, so I turn the codebases real teams run into my curriculumJune 22, 20267 minJune 22, 20267 min
Agentic AIInside Vercel's Eve: A Deep Technical Walkthrough, with a Research AgentWhat Eve is, every capability that matters, a full TypeScript research agent, and how it compares to LangChain's Deep AgentsJune 21, 202627 minJune 21, 202627 min
Agentic AI in Practice · Part 7Agent Memory: Short-Term vs Long-Term, and How to Wire It UpThreads are short-term memory. Stores are long-term memory. Most agent memory bugs come from confusing the two.June 20, 20267 minJune 20, 20267 min
Agentic AI in Practice · Part 6Deep Agents by LangChain: A Deep Dive, with a Customer Support AgentWhy Deep Agents exists, what it gives you out of the box, and a full support agent you could actually shipJune 19, 202616 minJune 19, 202616 min
Agentic AI in Practice · Part 5Evaluating Agents with LangSmith: A Complete GuideWhy "it worked when I tried it" is not evaluation, and how to measure agents properly with tracing, datasets, evaluators, and experimentsJune 19, 202611 minJune 19, 202611 min
Agentic AI in Practice · Part 3Giving Agents Tools: Function Calling and MCP, ExplainedHow agents actually do things, how to design tools they use well, and where MCP fitsJune 19, 20268 minJune 19, 20268 min
Agentic AI in Practice · Part 2Agentic RAG, and How It Differs from Traditional RAGWhen retrieval stops being a fixed step and becomes something the agent decidesJune 19, 20268 minJune 19, 20268 min
Agentic AI in Practice · Part 1What 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 PythonJune 19, 202610 minJune 19, 202610 min