Sourcing and Verification
At Stack Runner, we prioritize accuracy and depth in our technical coverage. Our sourcing begins with primary materials: official documentation, source code repositories, technical specifications, and direct statements from project maintainers or technology vendors. We verify claims by cross-referencing multiple authoritative sources, testing code snippets in development environments where applicable, and consulting with subject matter experts in our network. For security-related content, we follow responsible disclosure practices and validate vulnerabilities through reproducible test cases before publication. We clearly distinguish between factual reporting, analysis, and opinion—ensuring readers can trust the technical foundation of every article.
Corrections Policy
When errors occur—whether factual inaccuracies, misrepresented technical details, or outdated information—we correct them promptly and transparently. Corrections are typically made within 24 hours of verification. We append a clear note at the top or bottom of the article indicating what was changed and when, preserving the original context for transparency. For significant errors that meaningfully impact the article’s conclusions, we may issue a follow-up piece with additional analysis. Readers can report potential errors via our feedback channels, and we review all such reports with the same rigor as our initial verification process.
Conflicts of Interest
Our editorial independence is non-negotiable. We maintain strict separation between our content and advertising or sponsorship relationships. Authors and editors must disclose any financial interests, employment ties, or personal relationships that could influence coverage of a technology, company, or project. These disclosures appear at the end of relevant articles. We do not accept payment for favorable coverage, nor do we allow advertisers to dictate editorial direction. When reviewing tools or platforms, we use standard evaluation criteria applied consistently across comparable technologies, regardless of commercial relationships.
Use of AI
We employ AI-assisted tools for specific tasks: researching technical documentation, drafting initial outlines, checking code syntax, and summarizing lengthy reports. However, all final editorial decisions—fact-checking, technical analysis, argument development, and publishing—are made by human editors with domain expertise. AI-generated content is never published verbatim; it serves as a starting point for human refinement and verification. We believe this hybrid approach enhances efficiency while maintaining the critical thinking and nuanced understanding that define quality technical journalism. Our voice and opinions remain distinctly human.
Reader Feedback
We actively encourage reader engagement to uphold our standards. Technical professionals can report issues—errors, omissions, or ethical concerns—via email at editorial@stack-runner.site or through direct comments on articles. All feedback is reviewed by our editorial team, and we respond to substantive reports within two business days. For technical disagreements, we may publish follow-up pieces or host discussions to explore different viewpoints. This feedback loop ensures our content remains accurate, relevant, and valuable to the developer and IT operations communities we serve.