Purpose and scope
The writing collection explains modern software systems for engineers and technical decision-makers. The goal is practical understanding: what to build, why a design works, where it fails, and how to verify it in your own environment.
Articles provide general educational information, not individualized legal, medical, financial, compliance, or other regulated professional advice. A tutorial cannot account for every system, threat model, contract, jurisdiction, or operational constraint.
Evidence and citation standard
- Prefer specifications, standards, government guidance, research papers, official documentation, and source repositories over summaries.
- Place citations near the claims they support and link to the direct source.
- Distinguish documented behavior, measured results, engineering judgment, and open questions instead of presenting them as equally certain.
- Describe benchmark setup, inputs, versions, and limitations closely enough for a reader to challenge or reproduce the result.
- Do not treat the existence of a citation as proof that an implementation was independently reproduced.
Sources can change or disappear. Each article includes publication and update dates; version-sensitive claims should be checked against the linked source before production use.
Code, versions, and testing labels
Last tested appears only when the article records a date on which its example was executed in the stated environment. An update date means the article was reviewed or edited; it does not, by itself, mean every code path was run again.
Without a last-tested date and exact environment, the article displays a compact Code examples: Illustrative label. Readers should validate dependencies, permissions, error handling, load behavior, and security controls in an isolated environment before adopting the examples. Ellipses, placeholders, reserved example domains, and simplified infrastructure signal that production work remains.
AI assistance and human responsibility
AI tools may assist with research organization, outlines, drafting, code sketches, consistency checks, or editing. They are not treated as factual sources. External claims should resolve to inspectable evidence, and generated material receives human editorial review before publication.
Stanley Yang directs the work and accepts editorial responsibility for what is published. AI assistance does not establish that code was executed, that a claim is current, or that third-party material may be reused.
Security and dual-use material
Security examples are for defensive learning and testing on systems you own or are expressly authorized to assess. A public tutorial is not permission to access, scan, disrupt, or test someone else's system.
- Use synthetic data, reserved domains, local fixtures, and isolated environments.
- Start with the least privilege and the smallest reversible scope.
- Do not place real secrets, personal data, or production targets into examples.
- Obtain written authorization and follow the applicable program rules before security testing.
- Stop if testing could harm people, data, availability, or systems outside scope.
Copyright, licenses, and trademarks
Third-party text is quoted sparingly and attributed. Code, diagrams, datasets, and other material are used only when their license or permission supports the use, or are replaced with an original explanation and a link to the source. Readers must follow the license of any third-party project they use.
Product and organization names identify the technologies being discussed. Their use does not imply sponsorship, endorsement, certification, or affiliation unless an article says so explicitly. Original site content remains all rights reserved unless a specific page or repository states a different license.
Commercial relationships
As of the effective date, the writing collection contains no paid placements or affiliate links. If an article discusses an employer, client, investment, free product access, sponsorship, or another material relationship, that relationship should be disclosed where readers encounter the relevant claim.
Technical comparisons should explain their criteria and evidence. “Best,” “secure,” “compliant,” and similar conclusions are not used as universal guarantees.
Corrections, rights requests, and takedowns
Specific, evidence-backed corrections are welcome. Email hello@stanleycyang.com with the article URL, disputed passage, supporting source, and requested change. Rights holders should also identify the original work, ownership or authority, location of the material, and preferred remedy.
Credible reports are triaged by potential harm. Material factual corrections change the article's update date and, when useful to readers, include a correction note. Content may be temporarily unpublished while a serious safety, privacy, or rights issue is investigated.
Do not include an unpatched vulnerability, exploit details, credentials, or personal data in a public report. Use email to request a safer coordination channel first.
Reader responsibility
Technology changes quickly, and no article can promise that an approach is error-free, secure, compliant, or fit for every purpose. Review current authoritative documentation, test in your environment, use appropriate professional review for high-impact decisions, and keep a rollback path.
Questions about these standards can be sent to hello@stanleycyang.com.