Vibe coding and the need for enterprise-grade AI rigor

The rise of vibe coding is pushing software teams to build faster than ever before, but enterprise buyers demand systems that can survive audits and operational risk. The result is a new kind of software race, one where the finish line is no longer a working demo but a defensible system of record.

Enterprise automation company Appian Corp. is now aiming to turn AI-assisted creation into a governed workflow, according to Medhat Galal (pictured), senior vice president of engineering at Appian. That means speed alone is no longer the benchmark — rigor is.

“It takes the right level of rigor from the platform itself, as well as the components that were put into it,” Galal said. “Every step has to be intercepted. It has to be tested. It has to be evaluated.”

Galal spoke with theCUBE’s Dave Vellante and Alison Kosik at Appian World 2026, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed AI for application generation, code validation, developer productivity and agentic automation. (* Disclosure below.)

Vibe coding meets enterprise rigor

The next stage of AI-assisted development is about where humans, platforms and validation sit in the workflow. Appian has described the risk as “cognitive debt” in its own vibe coding analysis, the danger being that AI can make software creation feel effortless while leaving teams with systems they cannot fully explain or govern. What business users need is decision points without becoming prompt engineers, Galal explained.

“Our users are subject matter experts in their respective industries,” Galal said. “They can’t be bothered with how to prompt AI the right way to get the right behaviors. I do that for them, but ultimately, because they’re responsible for process, I have to give them the right decision points to make that decision.”

That model matters because AI can compress one part of the software lifecycle while shifting pressure downstream. If code generation becomes cheap, review, testing and process governance become the next bottlenecks, Galal explained.

“Code is cheap. Mistakes are expensive,” he said. “Now that we’ve made one of 16, 20 boxes required to build enterprise software cheaper, just to code it doesn’t mean you have to do any less of a rigorous process for the rest of it.”

For Appian, generated code and process steps remain suspect until checks prove them safe. The company uses independent verification, human review and system-level pipelines before production, with the larger goal of preserving accountability in AI-driven software, Galal noted. In that framing, governance is not a brake on AI adoption but a condition that makes it durable.

“I think the future software is going to be healthy insofar that we’re enabling the accountability and the responsibility and the ethical use of software,” Galal said. “AI, at the end of the day, is a piece of software. If we enable that to be the mechanism, the robust way to allow businesses to be assured in how they deploy software, it’s going to be a great future for everybody — companies and customers alike.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of Appian World 2026:

(* Disclosure: TheCUBE is a paid media partner for Appian World. Neither Appian, the sponsor of theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE.