How we write, test and stand behind what we publish.
Editorial standards for Learn AI Engineering. This document explains how articles are written, how code is tested, how updates and corrections work, how we use AI tools, and who is responsible when something is wrong.
Last updated: October 2026
Every article must be useful to a working AI engineer. We publish production-focused engineering writing: architecture, debugging, evaluation, deployment, cost, reliability. We do not publish AI-news roundups, generic thought-leadership takes, or thinly-veiled product announcements. If an article could be replaced by a tweet, it does not get published.
- Written by engineers, for engineers, not by a content team guessing what engineers want to read.
- Every article must teach at least one transferable engineering skill or pattern.
- Claims about system behaviour must be backed by either code, a measurement, or a citation.
Articles are original work by the named author. We do not republish third-party content without explicit attribution and permission. We do not spin or paraphrase other people's articles. If an article builds on someone else's published work, we link to it and name it.
- No AI-generated content farms. No bulk rewrites of existing articles.
- When we cite research, papers or other blogs, we link to the primary source.
- Quoted material is attributed and kept short.
Examples have different levels of completeness. Treat a snippet as illustrative unless the article provides its prerequisites, execution command and expected output. A tested local example does not establish production readiness or compatibility with every provider.
- Runnable guides should state the runtime, dependencies and commands needed to reproduce the result.
- Service-dependent examples require the named service and credentials; do not assume a snippet includes deployment or security configuration.
- When a library API changes and our snippet breaks, we update the article and bump the `updatedAt` date.
AI engineering moves fast and articles go stale. We treat updates as a first-class part of the editorial process, not an afterthought.
- Every article shows a published date and an updated date. When we change substantive content, the updated date moves forward.
- Cosmetic edits (typos, formatting) do not bump the updated date.
- When a library, model or pattern becomes deprecated, we either update the article or add a clear deprecation notice at the top.
- Articles older than 12 months without an update carry a 'last reviewed' note.
We make mistakes. When we do, we fix them in the open, not silently. If you spot an error, use our contact page and include the article URL, expected result and steps to reproduce.
- Factual errors are corrected in-place and the correction is noted at the bottom of the article with the date.
- Significant corrections (wrong conclusion, broken code, misleading diagram) are flagged at the top of the article for at least 30 days.
- We do not delete articles because they are embarrassing. We update them.
We are an AI engineering platform. We use AI tools in our writing workflow, and we are honest about how. AI is a tool, not an author.
- Authors may use AI assistants to draft outlines, suggest phrasing, summarise research, or check grammar.
- Every claim, code snippet and architectural recommendation in a published article is reviewed, fact-checked and owned by a human engineer.
- We do not publish articles where the bulk of the engineering reasoning was generated by an AI and accepted without verification.
- When an article is meaningfully AI-assisted (e.g. heavy use of an AI for code generation that was then tested and rewritten), we say so in the author note.
The named author on an article is responsible for it. Not the AI they used. Not the editorial team. Not the platform. If an article is wrong, the author fixes it, and the byline is real, not a pseudonym invented to launder AI output.
- Author identities are real. Our editorial author represents the engineering team behind the platform, not a fabricated persona.
- Authors are accountable for the correctness of their articles indefinitely.
- Editorial review catches style, structure and obvious errors, but technical responsibility stays with the author.
If an article recommends a product, service or library in which the author has a financial or professional interest, that interest is disclosed at the top of the article. We do not accept paid placements disguised as editorial articles.
- Sponsored content, if we ever run it, will be labelled as such at the very top, not at the bottom.
- Vendor-supplied articles are not accepted.
- Affiliate links, if any, are disclosed inline.
In short
We publish engineering writing that we would want to read ourselves. Code is tested. Authors are real. Mistakes are fixed in the open. AI is a tool, not an excuse. If you find a problem with anything we have published, tell us and we will fix it.
Spotted an error?
Email connect@learnaiengineering.dev or use our contact page. We will investigate and correct if needed.