What Is an AGENTS.md File?

Table of contents

1. The practical idea
2. What to build first
3. Step-by-step build path
4. Kingy AI example build
5. Prompt starter
6. Safety and QA
7. Output sample to review
8. How to publish
9. FAQ

The practical idea

An AGENTS.md file is a project guide for AI coding work: standards, test commands, safety rules, and files to avoid.

Think of AGENTS.md as onboarding notes for an AI builder: project map, coding rules, testing commands, deployment notes, and guardrails.

For a WordPress plugin, AGENTS.md might say to avoid editing generated JSON directly, use the generator source, scope assets, and run release/verify commands.

The important constraint is that AGENTS.md should help a beginner make progress today. If the first version cannot be explained in a short paragraph, tested with a few examples, and improved without rebuilding everything, the scope is probably too wide.

What to build first

Create a short AGENTS.md with project purpose, stack, style rules, test commands, security rules, and folders to avoid.

Avoid vague instructions like 'make it better.' The file should contain concrete rules and commands.

A strong first version of What Is an AGENTS.md File? should have a visible before-and-after: the user arrives with a rough idea, messy decision, or blank page, and leaves with something they can copy, test, publish, or hand to Codex for the next build step.

• Project purpose
• Stack
• Edit rules
• Commands
• Security warnings

Step-by-step build path

Describe the project and user.

List safe edit patterns and risky areas.

Add test, build, and verification commands.

For this topic, the core outcome is to understand how repo instructions help Codex and other AI coding agents work safely. Keep every feature pointed at that outcome.

Before generating the final page or tool, write one realistic sample input and one expected output. That sample becomes the test case. It also gives Codex or an AI app builder a concrete target instead of a vague instruction.

Kingy AI example build

For a WordPress plugin, AGENTS.md might say to avoid editing generated JSON directly, use the generator source, scope assets, and run release/verify commands.

Reader: Repo owner preparing Codex instructions.

Inputs: stack, important folders, commands, style rules, protected files, deployment notes, and security warnings.

Sample output: an AGENTS.md draft with project map, edit rules, test commands, files to avoid, and reporting expectations.

• Keep the example visibly connected to the Build With AI Academy.
• Make the output specific enough that an editor can review it.
• Use fake or public-safe data until staging and privacy review are complete.

Prompt starter

Ask Codex to create AGENTS.md after inspecting the repo, then review it for commands, safety rules, and local conventions.

For What Is an AGENTS.md File?, the prompt should name the audience, the exact user problem, the inputs, the output format, what should wait for version two, and the checks that prove the first version works.

If you are using Codex, ask it to inspect the project before editing, reuse existing patterns, keep changes scoped, run relevant checks, and report files changed. If you are using an app builder, include the data model, page structure, and launch checklist.

Safety and QA

Never paste passwords, API keys, customer data, private files, or sensitive business information into a tool unless you understand the risk. If the project touches payments, customer emails, legal claims, health advice, financial advice, account actions, or database writes, keep a human approval step.

Check whether a new contributor could follow the instructions without asking where to start.

For AGENTS.md, QA should include at least one happy-path example, one incomplete input, one unrealistic input, and one mobile pass. If the output can affect a real customer, account, database, or public claim, add human approval before publishing.

• Test the happy path
• Test missing inputs
• Test mobile layout
• Review metadata and internal links
• Confirm rollback steps

Output sample to review

A reviewer should be able to see the intended result before any production build happens. For What Is an AGENTS.md File?, use this sample output as the first acceptance target.

Sample output: an AGENTS.md draft with project map, edit rules, test commands, files to avoid, and reporting expectations.

Check that a new contributor can follow the file, commands are real, protected areas are named, and broad destructive edits are discouraged.

• One realistic sample input is present.
• One expected output is present.
• One manual QA rule proves whether the output worked.
• No private data, fake proof, or unsupported product claim is required.

How to publish

Keep AGENTS.md in the repo and update it after major workflow or deployment changes.

After launch, watch real user behavior and support questions. The best version two is usually obvious: save results, add examples, improve defaults, add a downloadable PDF, or connect a privacy-aware email flow.

On Kingy AI, the publishing goal is not just another article. The page should connect back into the Build With AI Academy through related tools, templates, safety rules, and the AI App Builder so readers can turn the lesson into an actual build plan.

Internal links

• Build With AI Academy
• AI App Builder for Beginners
• Codex Prompt Builder
• Beginner Safety Rules
• Project Library

FAQ