AI LinkedIn Posts for Engineers: Topics, Proof and a Checked Sample

Engineers who post on LinkedIn are usually doing it for a reason: a job search, a side project, a team they are hiring for. Their readers are other engineers, who recognise generated writing instantly and who distrust lessons, frameworks and motivational framing. The posts that work are small and concrete: one review habit, one bug, one design decision with the reasoning shown. AI drafts can help with structure, but they add markdown that LinkedIn renders literally and sentences of identical length. Below: what changes, five angles, and a sample post with its real checker result.

What changes when an engineer posts

Topics that engineers read from other engineers: the code review question you always ask, a bug that taught you something about the system, a design decision and the option you rejected, what you learned running something in production that the docs did not say, how you onboard to a new codebase. The smaller and more specific, the better. A post about "lessons from ten years in tech" is skipped; a post about one question is read.

Proof for engineers is the detail: the edge case, the hostile input, the estimate that was wrong and why. Generated engineering posts fail on two mechanical things the checker catches. Markdown asterisks pasted into LinkedIn show as literal ** marks. And sentence rhythm flattens to one length, which reads as machine output to anyone who reads machine output daily. Cut one sentence to three words and let another run.

Five topic angles for engineers

The review question you always ask. What it catches and why it is not a blocker.
The bug that taught you about the system. What the fixture hid.
A design decision and the option you rejected. Why the rejected one was tempting.
What production taught you that the docs did not. One behaviour, specifically.
How you onboard to a new codebase. The first thing you read and the first thing you change.

A sample post, written for an engineer

Written for this page, with no figures and no named clients. Use it as a shape, not a script.

The code review comment I write most often is a question, and it is usually "what happens if this is empty?" It is not a clever question. It catches something in a surprising share of pull requests, because the author wrote the function with the happy path in their head and tested it with data that looked like the fixture. Empty lists, missing keys, a user with no team, a date with no timezone. The edges are where the pager goes off. So I ask. Not as a blocker, usually. As a prompt for the author to look at their own code one more time with a hostile input in mind. Half the time the answer is "it's fine, the caller guarantees it". The other half, a test gets added and a bug never ships. The habit I would recommend to anyone starting out in reviews is to pick one question like that and ask it every time. It makes your reviews predictable, which authors like, and it builds an instinct that eventually fires before the code is written.

What the checker said

Score 100 out of 100. 179 words, 0 things to fix. Verdict: Reads as written by a person. This is the actual result from the fifteen rules in the free post checker, run on the text above. Open this sample in the checker to see the rules it passed, then paste your own draft.

Where to go next

Run your current draft through the free post checker, which flags unsourced figures, invented scenes and the machine-writing patterns readers notice. The free tools also measure your writing voice from your own posts and turn a rough thought or a voice note into a draft. Two patterns that catch engineers most often are markdown asterisks and flat rhythm; each page shows the rule and a before-and-after rewrite. When you want drafts that hold to your own measured voice and are checked before they go out, start a 7-day Klype trial: $39 a month after the trial, a card is required, and nothing is charged until day 8.

Common questions

Is it worth engineers posting on LinkedIn at all?

If you are hiring, job hunting or building something in public, yes. One specific post a week does more than a profile update. Nothing here requires you to become a creator.

Why does my AI draft show ** in the post?

LinkedIn does not render markdown. Any **bold** from ChatGPT or Claude appears as literal asterisks. The free checker flags it; remove the marks or use plain text.

How do engineers avoid sounding like LinkedIn?

Write about one thing, show the reasoning, skip the lesson at the end. The checker flags universal lesson endings and closing questions, which are the two tells engineers notice first.