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Tutorials
Practical guides that bring long-term search traffic.
New to prompting? Start with prompt engineering for code.
All tutorials
Coding agents and AGENTS.md: a practical guide
Learn how coding agents inspect, plan, edit, and test; how to scope root and nested AGENTS.md instructions; and how to control permissions, secrets, and validation.
AI Voice Pro Editorial23 min read
AI agent evaluation and observability
Build agent evals around outcomes, trajectories, tool precision, safety, latency, and cost, then connect regression gates to privacy-aware production traces.
AI Voice Pro Editorial24 min read
AI agent security: a practical threat model
Threat-model an AI agent against prompt injection, poisoned tools, excessive agency, secret exposure, and unsafe execution, then implement least privilege, approvals, logs, and incident response.
AI Voice Pro Editorial26 min read
Multi-agent systems and A2A: a practical guide
Learn when multiple agents are justified, how orchestrators, specialists, handoffs, parallel work, and shared state fit together, and how A2A Agent Cards enable interoperable agents.
AI Voice Pro Editorial27 min read
AI agent memory: a practical design guide
Design agent memory that helps without quietly becoming a stale, invasive database: choose the right memory scope, retrieval rules, schema, deletion path, and evaluation plan.
AI Voice Pro Editorial24 min read
Context engineering for AI agents: a practical workflow
Design the context an AI agent receives at each step: instructions, tools, retrieval, memory, compaction, budgets, caching, security, and evaluations that catch context pollution.
AI Voice Pro Editorial26 min read
Agent Plugins 1.0: portable skills and MCP packages
Understand the vendor-neutral Agent Plugins 1.0 package format, plugin.json, skills and MCP discovery, installation boundaries, portability, trust, and a setup you can validate.
AI Voice Pro Editorial25 min read
Agent Skills: how SKILL.md packages reusable workflows
Learn the open Agent Skills format: SKILL.md, progressive disclosure, scripts, references, assets, testing, versioning, and the security checks that make a skill safe to reuse.
AI Voice Pro Editorial24 min read
Model Context Protocol: architecture, setup, and security
Learn how MCP connects AI hosts to tools and context through clients and servers, how local and remote transports differ, and how to set up and troubleshoot an integration safely.
AI Voice Pro Editorial25 min read
OpenAI Agents API: architecture, sessions, tools, and setup
Understand OpenAI's managed Codex harness: durable sessions, tools, environments, subagents, compaction, plugins, security boundaries, costs, and when to choose it over the Agents SDK or Responses API.
AI Voice Pro Editorial26 min read
AI agents explained: architecture, loops, tools, and safety
A practical explanation of AI agents: how the loop works, what tools and memory really do, where approvals belong, and how to design a useful agent without giving it unsafe freedom.
AI Voice Pro Editorial23 min read
Claude Projects for developers
Claude Projects is the feature that closes the biggest gap between Claude and editor-integrated AI tools — it gives Claude persistent memory of your codebase across sessions. Here's how to set it up and actually use it on real work.
AI Voice Pro Editorial17 min read
Cursor AI complete guide
Set up Cursor's current Agent workflow, Project Rules, Plan Mode, diff review, validation, and privacy safeguards without relying on legacy .cursorrules advice.
AI Voice Pro Editorial17 min read
GitHub Copilot workflow that ships
Use Copilot completions and Copilot Chat as different tools for different moments, build a review habit before accepting suggestions, exclude sensitive files with .copilotignore, and set team norms that keep everyone consistent.
AI Voice Pro Editorial17 min read
How to use ChatGPT for coding
Write prompts with useful constraints, run a structured debug loop, share errors safely, and choose the right workflow across Chat, ChatGPT Work, Codex, and your IDE.
AI Voice Pro Editorial17 min read
Prompt engineering for code
Write prompts with explicit constraints, run a verify loop when the first draft misses, and build a small library of prompt templates that work for your stack — across ChatGPT, Claude, Cursor, and Copilot Chat.
AI Voice Pro Editorial18 min read