Automation Articles
Browse 949 articles about Automation.
Cursor's Research on Running 100 Agents in Parallel: Why Flat Agent Teams Fail Without an Issue Tracker
Cursor found that flat agent organizations develop the same coordination failures as flat human orgs. Issue trackers — claiming, status, blockers — solve both.
DeepSeek V4 Vision: 10x Cheaper Multimodal AI for Your Workflows
DeepSeek V4's vision model uses 90 KV cache entries vs 870 for Claude—10x cheaper. Learn how to use it in your AI workflows and agents.
Google Workspace CLI vs MCP for Claude Code — Which Gives You Better Gmail and Docs Access?
The open-source GWS CLI gives bash-level Gmail, Drive, and Docs access inside Claude Code — no MCP overhead. Here's when to use each approach.
How to Build an Agentic Operating System: 9 Components You Need
An agentic OS is just clever context management. Learn the 9 components—identity files, memory, skills, and more—that make AI tools actually work.
Issue Trackers as AI Agent Infrastructure: Why Jira and Linear Are Winning
Issue trackers encode state, ownership, permissions, and history—exactly what AI agents need. Learn why boring enterprise tools are becoming agent substrates.
How to Use Karpathy's Verifiability Framework to Decide What to Automate in Your Workflow Today
Karpathy's rule: automate what you can verify, keep what requires judgment. Here's a practical guide to applying his framework to your own work in under an…
How to Use NVIDIA NIM Free Models in Your AI Workflows
NVIDIA NIM offers free models like GLM 4.7 via API. Learn how to connect them to Claude Code or any agentic tool to reduce costs without sacrificing capability.
How to Use Ollama to Run AI Models Locally for Claude Code Workflows
Ollama lets you run models like Gemma 4 locally on your own hardware—zero API costs. Learn how to connect it to Claude Code as a free backend alternative.
OpenAI Codex Redesign: 7 New Features Targeting Non-Technical Knowledge Workers
Codex now asks what type of worker you are and personalizes task suggestions. Here are the 7 biggest changes in the latest Codex update.
OpenAI's Symphony Spec: How Using Linear as an Agent Control Plane Drove a 500% PR Increase
OpenAI's open-source Symphony spec uses a Linear board to orchestrate autonomous coding agents — and internal teams saw 500% more landed pull requests.
What Is Semantic Memory Search for AI Agents? Tools, Levels, and When to Use Each
Semantic memory search lets agents recall relevant context by meaning, not keyword. Learn the 6 levels of AI memory and which combination fits your use case.
How to Use Skill Systems in Claude Code: Chaining Skills Into Autonomous Pipelines
Skill systems chain modular Claude Code skills into scheduled, multi-step pipelines. Learn how to build content creation, repurposing, and research workflows.
Is Your Tech Stack Agent-Ready? The 5-Question Diagnostic for Evaluating Any Tool as Agent Infrastructure
Not every tool can serve as an agent control plane. Here's the 5-question diagnostic — state machines, ownership, audit history
What Is the Self-QA Loop? How AI Agents Critique Their Own Output Before You See It
A self-QA loop has an AI agent render, screenshot, and critique its own output before handing it to you. Here's how to implement it in your vertical agent.
What Is Structured Memory in AI Agents? How to Build Persistent Context
Structured memory lets AI agents reuse context across sessions without bloating the window. Learn how to build portable memory artifacts for your agents.
How to Build an Agent-Native Product: Lessons from OpenClaw, Hermes, and Codex
Agent-native products use outcome-based prompts instead of step-by-step instructions. Learn the design patterns behind the best agentic tools available today.
How to Build an Agentic Coding Workflow with Claude Code and Jira: A Full Walkthrough
Learn the complete agentic coding workflow: ideation, PRD creation, Jira ticket generation, PIV loop implementation, and system evolution using Claude Code.
What Is Agentic Context Grounding? The Pattern Behind Claude Design and Vertical AI Apps
Agentic context grounding reads a source of truth before generating anything. Learn the six patterns behind Claude Design that apply to any vertical AI agent.
What Is an AI Memory System? How to Build Persistent Context for Your Agents
AI models are stateless but your work isn't. Learn how to build a durable memory layer using SQLite, Postgres, embeddings, and MCP servers for your AI agents.
How to Build an AI Orchestrator That Delegates to Cheaper Sub-Agent Models
Use a frontier model as orchestrator and cheaper open-weight models for heavy lifting. This hybrid approach cuts costs while maintaining output quality.