Community guidelines

KubeInfer is a place for practical, honest engineering writing about running machine-learning inference in production. A few principles keep it useful for everyone.

Write from experience

The best stories come from real systems. Share what worked, what broke, and the numbers behind your decisions. Cite sources when you lean on someone else's work.

Every story is reviewed

Submissions go to an editor before they're published. We check for accuracy, originality, and clarity — not for agreement. Expect occasional notes asking for more depth.

Be a good citizen

• No spam, undisclosed advertising, or plagiarism.
• Disagree with ideas, not people.
• Report content that breaks these rules — our editors review every report.

Reactions & reposts

Anyone can like, dislike, repost, and report a story. Reposts appear on your public profile, so you're curating a reading list others can follow.