Small Business AI
Before You Launch AI-Written Code: A Small Business Safety Checklist
A report that AI wrote most of one company's recent code, over staff security concerns, is a useful prompt. Here is what to check before AI-built changes go live.
By Kindloom Labs · October 31, 2026
What changed
404 Media reported, based on audio it obtained, that the chief technology officer of the privacy company Proton told staff that AI wrote about 90 percent of the company's code in October, and that leadership had pushed for faster AI adoption while some engineers raised security-review concerns. In a follow-up, 404 Media reported the chief executive cancelled planned interviews about staff AI use and said there would be no AI-related layoffs. Two things are worth holding lightly here. The 90 percent figure is a reported statement from one executive, not an audited measurement, and the reporting does not define what counts as AI-written code. The useful part for a small business is the underlying tension: speed targets that quietly push past review and testing.
The honest nuance
AI coding tools are genuinely useful, and using one is not reckless. The danger is not the tool, it is skipping the checks that used to be automatic. AI can produce code that looks right and runs, yet mishandles customer data, breaks a checkout under real traffic, or quietly grants more access than it needs. A confident-sounding model is not a substitute for testing, and more code written faster means more to review, not less. None of this requires a big engineering team. It requires treating AI as an accelerator that still goes through the same gates you would want for any change to your site or systems.
Why it matters for your business
If you or a contractor use AI to build or change your website, a storefront integration, or an internal automation, a single bad change can cost far more than the time it saved. A broken checkout loses orders. Exposed customer data is a trust and legal problem. An automation with too much access can do real damage if it misfires. The businesses that get burned are usually the ones that pushed an AI-made change straight to live without a test or a way to undo it. The ones that do fine treat AI output as a draft to verify, not a finished product to trust.
What to actually do
Before any AI-generated code or automation goes live, run it in a test or staging setup first, not on your real site. Have a person read it, especially anything that touches payments, customer data, or logins. Keep a recent backup and a clear way to roll back if something breaks. Give each tool and automation the least access it needs to do its job, not broad admin rights. For anything security-sensitive, get a second set of eyes, even a paid hour from someone who knows the area. Write down what the automation is allowed to do, so the next person, including future you, can tell quickly whether it is behaving.
From Kindloom Labs
A simple pre-launch pass catches most of this. The free Before You Publish AI Content Checklist is built around that habit of checking before you ship.
Sources
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