Editorial Policy
Last Updated: March 4, 2026 | Next Review: December 2026
Our Mission
At Stack & System, a website of NS Management Consultancy Ltd (Est. 2012, Milton Keynes, UK), we pursue two core missions:
- 1. Democratize technical education
We believe understanding software architecture and system design should be accessible to everyone. Our tutorials are example-laden, exceptionally easy to follow, and 100% free—no login, no credit card, no barriers. We cover foundational concepts through advanced patterns that build holistic technical understanding.
- 2. Analyze the state of software engineering
We provide data-driven analysis of architectural patterns, technology decisions, and engineering leadership—including unique content like architecture decision records and in-depth case studies of how leading tech companies scale their systems.
Our target audience spans junior developers, senior engineers, tech leads, architects, and CTOs—anyone seeking clear, trustworthy, and practical technical knowledge.
Research & Technical Verification
Source Standards
We rely on:
- •Official documentation: Kubernetes, Docker, Kafka, MongoDB, and cloud provider docs (AWS, Azure, GCP)
- •Authoritative technical sources: IEEE papers, ACM digital library, O'Reilly publications
- •Open-source repositories and verified GitHub projects
- •Historical archives and original source materials for technology history content
- •Verifiable internet sources—always traced to origin (e.g., official blogs, conference talks, primary documentation)
Technical Verification
Every technical claim—whether a Kubernetes configuration parameter, Dockerfile best practice, or system design pattern—is verified against official documentation and real-world testing. Where possible, we include working examples that readers can execute themselves.
Internal Review Workflow
All content passes through our proprietary editorial workflow system:
- Author draft & initial technical verification
- Peer review by subject matter expert (practicing engineer or architect)
- Editor review & verification against our technical accuracy checklist
- Final approval before publication
* Our comprehensive technical accuracy checklist includes code example testing, configuration validation, version compatibility verification, and architectural soundness assessment.
Authorship & Editorial Review
Our content is created by an in-house team of software architects and engineers, holding:
- •Bachelor's/Master's degrees
- •Years of practical experience in software development, architecture, and engineering leadership
We maintain subject matter experts across domains:
- •Software Architecture & Design Patterns
- •Microservices & Distributed Systems
- •Containerization (Kubernetes, Docker)
- •Data Technologies (Kafka, MongoDB)
- •Cloud Computing & Infrastructure
- •Engineering Leadership & Organizational Design
Review Process
Every article undergoes a two-tier review:
- 1.Peer Review – Another subject matter expert reviews for technical accuracy, completeness, and clarity. Code examples are tested in real environments.
- 2.Editor Review – Chief editor verifies alignment with our mission, readability, and overall quality.
Content is updated as needed—triggered by new software versions, evolving best practices, or reader feedback. Popular evergreen content is systematically reviewed every 3 months for technical currency.
AI Usage Disclosure – Updated 2026
Transparency in AI-assisted publishing is central to our trustworthiness.
How We Use AI
We employ AI tools exclusively as drafting and formatting assistants. All intellectual thought, architectural analysis, code logic, and original perspectives are human-generated by our in-house experts.
AI's role is limited to:
- •Transforming human-written outlines and ideas into polished prose
- •Grammar, clarity, and readability improvements
- •Formatting consistency across tutorials and code blocks
AI does not:
- •Generate original architectural patterns or technical recommendations
- •Create production code without human oversight and testing
- •Interpret system requirements or make technology choices
Verification & Oversight
Every AI-assisted draft undergoes rigorous human review:
- 1.Original author verifies technical accuracy and that the output reflects their intended meaning
- 2.Code examples are tested in real environments
- 3.Chief editor confirms all technical claims are verified against authoritative sources
- 4.Final human approval before any content is published
Our Formal AI Policy: AI usage is permitted strictly as a drafting and formatting tool. All technical claims, code examples, and architectural conclusions must be verified by human experts. AI-generated content is never published without explicit human review, testing, and approval.
Conflict of Interest & Independence
We maintain strict editorial independence:
- No vendor relationships
Neither our writers nor editors hold consulting engagements, equity, or paid relationships with technology vendors covered in our content (e.g., cloud providers, software companies).
- No compensation from covered entities
We receive no payments, free licenses, or incentives from companies featured in our tutorials.
- No affiliate links
We do not participate in affiliate marketing programs. Our content is not monetized through product recommendations or tool endorsements.
- No sponsored content
We do not accept sponsored posts, paid placements, or advertiser-influenced content.
Editorial Independence
The editorial team has final authority over all content decisions. No advertiser, partner, technology vendor, or external party influences our editorial direction, topic selection, technology recommendations, or conclusions.
Our content is strictly educational. Nothing published on Stack & System constitutes professional advice or production-ready code without appropriate testing and adaptation to your specific context.
Content Updates & Corrections
Update Triggers
- •Major version releases of covered technologies (e.g., Kubernetes 1.28 → 1.29)
- •Deprecation of features or APIs discussed in tutorials
- •Evolution of industry best practices and architectural patterns
- •Reader-reported potential inaccuracies or broken code examples
- •Scheduled quarterly review of evergreen/high-traffic content
Corrections Process
Readers can report errors via our Contact page. Our process:
- 1.Initial assessment by editorial team
- 2.If valid, assignment to relevant subject matter expert
- 3.Full technical verification, including code example testing
- 4.Editor approval of correction
- 5.Publication with explicit correction notice
Correction display: All corrections are published as separate notices, clearly dated and explaining the original error and the corrected information. The original article is updated and includes a prominent link to the correction notice.
Every article displays its last reviewed/updated date. We maintain a public corrections log to further enhance transparency.
Technical Accuracy Commitment
We hold ourselves to the highest standards of technical accuracy:
- Code Example Testing
All code examples are tested in appropriate environments before publication. Configuration files are validated against actual tools.
- Version Currency
We specify which versions of software our examples apply to and update content when new versions introduce breaking changes.
- Architectural Soundness
Patterns and recommendations are evaluated against established architectural principles and real-world production experience.
When we make mistakes—and occasionally we will—we correct them transparently and promptly. Our goal is not perfection, but continuous improvement and unwavering honesty with our readers.
Our Promise
Stack & System exists solely to educate. We are not a software vendor, not a consultancy (except as the parent company NS Management Consultancy Ltd), and not a marketing channel. Our only product is trustworthy technical knowledge—delivered clearly, freely, and without hidden agendas.
The editorial team holds absolute authority over what we publish. No external interest—commercial, vendor-related, or personal—influences our content.
