Developer Code Samples

A developer code sample teaches one useful task through code that a reader can understand, run, and adapt. It is part documentation and part software. If either half fails, the sample fails.

Readers use samples to evaluate a technology, learn an API, and unblock real work. Many copy sample code into their own projects. That makes every sample an implicit recommendation about correctness, security, accessibility, and style.

Start with the reader's task

Choose a task your audience actually needs to complete. A sample built only to display a product feature can be technically accurate and still be useless.

Define three things before you write code:

• Audience: What does the reader already know?
• Outcome: What observable result proves the sample worked?
• Boundary: Which single concept must the sample teach?

Start with a small, common task. Add complexity in later samples instead of forcing every option into the first one. A sequence can move from a minimal example to a realistic scenario and then to advanced variations.

Make the contract visible

A runnable sample has a contract with the reader. State the prerequisites, dependencies, setup, run command, and expected output. Mark every value the reader must replace with a descriptive placeholder.

Distinguish a complete sample from a snippet. A complete sample can be built and run. A snippet shows only part of a program. If a snippet omits code or is not production-ready, say so in the surrounding text and in a code comment where appropriate.

Optimize for learning

Keep only the code needed to teach the task. Prefer descriptive names and familiar control flow. Avoid clever shortcuts and unnecessary dependencies. Comments should explain a non-obvious decision or constraint, not repeat the next line of code.

Introduce the sample before the code. Explain what it does and why the task matters. After the code, connect important lines to the observed result. Large examples belong in a repository or a walkthrough where you can explain them in stages.

Treat the sample as maintained software

Build and test every complete sample. Check the result it claims to produce. Apply the language and project style rules. Review security, accessibility, and side effects with the same care you would apply to production code.

Put repository samples under version control. Include a README that explains purpose, setup, execution, expected results, and cleanup. Declare dependencies and their supported versions. Add a license when you intend others to reuse the code.

Automated checks reduce drift. A continuous integration job can compile, format, lint, test, and scan the sample after each change. Automation does not replace a reader test: someone unfamiliar with the sample should still follow the instructions from a clean environment.

Know the limits

A short sample cannot teach an entire platform. It should illuminate one task and point to authoritative reference material for the rest.

A sample also cannot promise production readiness for every environment. State assumptions and omitted concerns. Never hide missing authentication, error handling, cleanup, or security controls just to make the code look shorter.

A practical quality model

Use five checks before publication:

1. Relevant: The scenario solves a real audience task.
2. Correct: The sample builds, runs, and produces the stated result.
3. Focused: Every included line supports the teaching goal.
4. Reusable: Setup, placeholders, dependencies, and adaptation points are clear.
5. Maintainable: Ownership, tests, versions, and review triggers are explicit.