
UpTrajectory Review
The piece lays out a problem most small-business operators running any custom software already suspect but rarely act on: the dependency tree beneath a modern application grows exponentially, and almost nobody has a real handle on it. The source walks through the familiar illusion of control — you open your package.json, you see your direct dependencies, maybe you even keep a few of them current — and then pulls the rug out. Those packages have their own dependencies, which have their own, and somewhere four or five layers down is a library nobody has touched in three years and a CVE nobody patched. The author also flags that AI-assisted coding accelerates the sprawl, because packages get added faster than anyone vets them. For a small business that contracted out its web app, its booking system, or its internal tooling, this is not an abstract developer concern. It is a liability sitting inside software you depend on to run payroll, take payments, or store customer data, and you likely have no inventory of what is actually in it.
What makes this genuinely uncomfortable for a small operator is that the exposure is invisible until it is not. A breach traced to a forgotten transitive dependency does not distinguish between a Fortune 500 and a twelve-person company — the attack surface is the same, but the recovery capacity is not. The source is right that 'hope is not a strategy,' but the honest follow-up it only gestures toward is that most small businesses do not have a dedicated engineer to run dependency audits, and their outside developers may not prioritize it either. If you pay a firm to maintain your application, dependency hygiene is a fair thing to ask about explicitly, and the answer you get — or the shrug — will tell you something useful about the relationship.
The genuinely under-reported angle here is the AI coding acceleration. The source mentions it in passing, but it deserves weight: when a non-technical founder or a junior developer uses an AI assistant to bolt on a feature, the assistant cheerfully pulls in packages that solve the immediate problem without any judgment about maintenance status, license, or security posture. That means the dependency tree is growing faster and with less human scrutiny than ever. We are skeptical of any vendor who claims to fully solve this with a single dashboard, but the direction — automated software composition analysis, dependency pinning, and lockfile review — is the right one. The piece stops short of naming tools, which is a missed opportunity, because practical options do exist at price points a small business can absorb.
The second-order effect worth sitting with is the maintenance debt compounding quietly in the background. Every quarter that passes without an upgrade cycle makes the next one more expensive, because version gaps widen and breaking changes accumulate. Eventually the app hits a wall where the framework version is end-of-life, the hosting environment no longer supports it, and a routine security patch becomes a small rewrite. That is a budget shock, not a line item, and it lands on owners who were never told the software had a shelf life. There is also a vendor-management dimension: if your developer built on a trendy stack three years ago and that stack has since fallen out of favor, finding someone to maintain it gets harder and pricier.
The practical move is to treat your software stack like any other asset you maintain — with a periodic inspection and a named owner. If you have an internal or contract developer, ask for a software bill of materials, or at minimum a dependency audit with a remediation timeline. If you are running anything customer-facing and have never done this, budget for it this quarter rather than after an incident. Watch for regulatory pressure too: supply-chain security requirements that started with federal contractors and large enterprises have a way of flowing down to smaller vendors through procurement questionnaires and cyber-insurance applications. The businesses that can answer 'yes, we track our dependencies' will have an easier time winning contracts and keeping premiums down than the ones still hoping.
“Hope is not a strategy.” — InfoWorld
Takeaway: Ask your developer for a dependency audit and a software bill of materials this quarter — you cannot patch what you have not inventoried.
Excerpt from the original — InfoWorld
You may very well have a big problem and you don’t even know it.
Do you have complete control over the dependencies of your application? I’m guessing that you think you do, but then again, you might not.
Sure, you can go to your package.json and see all the dependencies. You can even make sure that they are all on the current version, but that might take a lot of work. It’s likely that you are running older versions because upgrading takes too much time — a commodity that you don’t have. And chances are, one of the reasons there is a newer version is a security patch.
But package.json doesn’t tell the whole story. What are the dependencies added to your application downstream from your direct dependencies? And what are the dependencies of those dependencies? And so on, and so on.
We’ve all seen this famous xkcd cartoon:
xkcd
Falling behind
The …