Developer Code Samples
Developer code samples are short, working examples that demonstrate how to use an API, SDK, or library. Writing effective samples requires clarity about the reader's task, minimal boilerplate, accurate dependencies, and a progression from simple to complex use cases.
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Don't Panic
Don't Panic — Developer Code Samples
A developer code sample is a small piece of teaching material with an awkward double life. It is documentation, so it must explain a task. It is software, so it must also work. If either half wanders off for tea, the reader is left holding a command that looks persuasive and does something mysterious.
The useful unit is not a feature tour. It is one real task, chosen for a particular audience, with an observable result. That result is the receipt. A returned record, a created file, or a visible response tells the reader that the sample did the job it claimed to do. Without it, a successful-looking terminal is mostly decorative plumbing.
The next important distinction is between a snippet and a complete sample. A snippet is a useful fragment. It can show one API call or one local idea. A complete sample brings its prerequisites, dependencies, setup, run command, and cleanup instructions along with it. Presenting one as the other is how an innocent paragraph acquires several invisible dependencies and a small collection of unhappy readers.
Keep the code narrow. Descriptive names and familiar control flow give the reader somewhere to stand. Comments earn their keep when they explain a constraint or a decision that copied code would otherwise conceal. They do not need to narrate punctuation. A short sample is not an excuse to omit authentication, error handling, security controls, or cleanup; it is a reason to name what lies outside its boundary.
The surprising part is that passing tests are necessary but insufficient. Tests establish that the code behaves as expected. A reader test establishes that the instructions contain the setup knowledge a new person needs. Run the documented path from a clean environment. If it fails, the sample has found a fact it forgot to publish.
Start with the Intro for the quality model and the forms a sample can take. Use Slides when you need the relationship between explanation, execution, and maintenance in one view. Keep the Cheatsheet nearby while reviewing a repository, then use the Practice Reference to run the clean-checkout sequence. The Quiz checks the decisions that keep a useful example from becoming an impressive-looking trap.
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Sources
- https://developers.google.com/tech-writing/two/sample-code
Supports
- Correct, concise, understandable, reusable, and sequenced sample criteria
- Requirement to build, test, and maintain sample code
- Run instructions, setup, dependencies, and expected results
- Descriptive names, limited nesting, and comments focused on non-obvious decisions
- Snippet definition and the maintenance risk of untested snippets
- Correctness taking priority over conciseness
- https://learn.microsoft.com/en-us/style-guide/developer-content/code-examples
Supports
- Code examples as aids for evaluating, learning, writing, and debugging technology
- Selecting meaningful audience tasks and scenarios
- Progression from simple examples to complex scenarios
- Introductions, requirements, dependencies, expected output, accessibility, security, and testing
- https://developer.mozilla.org/en-US/docs/MDN/Writing_guidelines/Code_style_guide
Supports
- Readers may copy examples into production code
- Clear warnings for non-runnable or non-production examples
- Short, understandable examples with minimal unnecessary dependencies
- Avoidance of insecure, inefficient, inaccessible, and deprecated patterns
- Language identifiers and formatting for code blocks
- https://developer.mozilla.org/en-US/docs/MDN/Writing_guidelines/Page_structures/Code_examples
Supports
- Static, live, interactive, and GitHub-embedded example forms and their uses
- Explanation before and after examples
- Breaking large examples into smaller explained pieces
- Higher maintenance cost when on-page and repository sources are separate
- https://developers.google.com/style/code-samples
Supports
- Code sample introductions and language-specific style conventions
- Indentation, line length, and preformatted presentation guidance
- Marking omitted code with language comments
- https://developers.google.com/style/placeholders
Supports
- Placeholders as values readers replace or variable example output
- Descriptive placeholder names instead of ambiguous single-letter tokens
- Need to explain placeholder meaning and context
- https://docs.github.com/en/repositories/creating-and-managing-repositories/best-practices-for-repositories
Supports
- README files for understanding and navigating a repository
- License, contribution, citation, and conduct files for communicating expectations
- Repository security features including dependency, secret, push, and code scanning
- https://docs.github.com/en/actions/get-started/continuous-integration
Supports
- Continuous integration building and testing repository changes
- Linters, security checks, coverage, and functional tests as possible automated checks
- Test results reported during pull request review
- https://docs.github.com/en/codespaces/about-codespaces/what-are-codespaces
Supports
- Configurable cloud development environments created from repository configuration
- Repeatable development environments for project contributors
- https://codepen.io/features/embeds
Supports
- Embedded Pens that show code and live previews in documentation and tutorials
- Code and output display choices for embedded front-end demonstrations
- https://learning.postman.com/docs/tests-and-scripts/running-collections/intro-to-collection-runs
Supports
- Collection runs that send saved API requests in a chosen order
- Test-result logging and CI integration for API request collections
- https://nodejs.org/api/test.html
Supports
- The Node.js test runner can run matching test files with the node --test command
- Test files can use the node:test module and assertions to verify sample behavior
- https://www.twilio.com/en-us/blog/developers/new-era-for-twilio-documentation
Supports
- A large documentation migration required auditing, retesting, and modernizing code samples
- Docs-as-code practices support testing, review, and build-time modification of documentation
- Sample generation from OpenAPI still required an audit and retesting of existing samples
- https://www.twilio.com/en-us/blog/company/inside-twilio/developer-experience-spectrum
Supports
- Functionally working products can be perceived as broken when documentation is out of sync
- Malformed API requests can be an observable signal of developer-experience friction
