AI AGENTS

10 min read

A practical security playbook for running Codex cloud tasks safely in 2026 using OpenAI docs: internet access controls, domain allowlists, HTTP method limits, and review workflows.

Production-tested patterns for orchestrating AI agent teams - from fan-out parallelism to hierarchical delegation. Covers CrewAI, LangGraph, AutoGen, OpenAI Agents SDK, Google ADK, and custom approaches with real code.

9 min read

Agents forget everything between sessions. Here are the patterns that fix that: CLAUDE.md persistence, RAG retrieval, context compression, and conversation summarization.

9 min read

AI agents fail in ways traditional debugging cannot catch. Here are the tools and patterns for finding and fixing broken agent loops, tool failures, and context issues.

14 min read

A practical comparison of the five major AI agent frameworks in 2026 - architecture, code examples, and a decision matrix to help you pick the right one.

12 min read

AI agent skills are not just for developers. Here is how 12 professions use packaged AI workflows to do better knowledge work.

10 min read

A step-by-step guide to building AI agents that actually work. Choose a framework, define tools, wire up the loop, and ship something real.

11 min read

How to spec agent tasks that run overnight and wake up to verified, reviewable code. The spec format, pipeline, and review workflow.

6 min read

AI agents use LLMs to complete multi-step tasks autonomously. Here is how they work and how to build them in TypeScript.

10 min read

A practical guide to building AI agents with TypeScript using the Vercel AI SDK. Tool use, multi-step reasoning, and real patterns you can ship today.

6 min read

From swarms to pipelines - here are the patterns for coordinating multiple AI agents in TypeScript applications.

3 min read

AI coding agents are submitting pull requests to open source repos - and some CONTRIBUTING.md files now contain prompt injections targeting them.