AI can write code. MSPs still own the risk

COMMENTARY: Vibe coding makes it easy to build software. But for MSPs, the bigger question is what happens after the code is generated. Who checks whether it is secure? Who makes sure it connects with the customer’s existing systems? Who supports it when something breaks or when the business starts to grow? That is where partners still matter. AI can help create something quickly, but it does not automatically understand a client’s environment, risk, compliance needs or operational reality. So the MSP role becomes more important, not less. Customers may be able to build faster with AI, but they will still need someone to help them decide what is safe, what is scalable and what could turn into a problem later.

The rise of generative AI has fundamentally transformed how software gets built. What once required teams of developers, months of planning, and rigorous testing can now be initiated with a simple prompt. Enter vibe coding.

Vibe coding is the practice of developers (or even non-developers) creating software products, features, or workflows primarily using AI-generated code. It enables rapid development, lower barriers to entry, and the democratization of innovation. While this trend is unlocking unprecedented speed and accessibility, it raises a critical question for MSPs: If AI can build it, where do technology partners still add value?

Where AI is a problem

Despite its appeal, vibe coding introduces real risks, especially at scale. One of the most pressing issues is security. A recent Forbes article highlighted that in AI-generated code, security vulnerabilities were almost 3 times more frequent, and logic issues occurred 75% more often.

Because AI models are trained on massive datasets (including flawed or outdated code), they can unintentionally reproduce insecure patterns. Without experienced oversight, the AI code may work but could be creating vulnerabilities that go undetected.

Rapid generation often leads to poorly structured systems. Without strong design principles, organizations risk accumulating significant technical debt. Teams may trust AI outputs too quickly, skipping critical validation steps like code review, testing, and governance.

Autonomous AI is also on the rise. This type of AI, often seen in agents, involves AI being able to act with limited human input; The goal being to reduce human labor. As the industry experiments with this type of emerging AI, the risks associated with vibe coding become even more prominent.

In short, AI can accelerate the output, but it doesn’t guarantee quality.

Revaluating the role of vendors

So, if AI can do everything, why bother with partners? As AI takes over execution, the value to MSPs shifts from only building to guiding, governing, and optimizing. This is where evaluating the type of technology partner becomes more important, not less.

As you evaluate vendors in this new landscape, these are the qualities that truly differentiate partners:

Transparency and support

In a crowded market, partners that value transparency and who consistently demonstrate it in their actions stand out. Transparency builds trust, which is a competitive advantage. You want a partner who will be upfront with you about their product (this goes for price, too).

That same transparency should extend beyond the sale and into the support experience. Because MSPs already have the technical expertise, vendors should be working on stellar support.

AI-generated solutions often struggle to integrate cleanly into complex environments. Partners often have the experience needed to create plug-and-play APIs and troubleshoot bugs to create a reliable system. Supporting a product can be time and resource-intensive. Strong partners offer the support needed to turn products into stable solutions, so you don’t have to worry about it.

Security and compliance

As AI-generated code introduces new vulnerabilities, partners play a critical role in:

Partners can do the heavy lifting of security and compliance requirements so that you don’t have to have a cybersecurity incident.

Integration and scalability

Vibe coding can be prone to the “technically correct” phenomena, which occurs when AI understands the words of the prompt but does not have the context needed to provide a nuanced solution. This creates functional components without the ability to integrate cleanly into your existing systems.

That’s where strong partners differentiate. They invest in a dedicated team of developers who are constantly working on their product to improve it faster than you could build an AI version.

As your business grows, your systems need to grow with it. Look for partners that don’t just produce outputs but create solutions that connect seamlessly into your environment, prevent silos, and reduce the operational burden of stitching everything together.

The bottom line

Vibe coding represents a fundamental shift in how software is created. It empowers more people to build, accelerates innovation, and reduces time to market.

The role of vendors is evolving from coders to strategic partners. In an AI-first world, the organizations that succeed won’t be the ones who simply use AI; they’ll be the ones who use it wisely.

And partners who can provide transparency, compliance, and scalability will be more valuable than ever.

As your organization explores vibe coding, ask yourself:

If the answers aren’t clear, it might be time to rethink the role of your partners.