Vibe coding: the next evolution in enterprise application development

For the last two decades, the story of enterprise technology has been one of simplification. From command-line programming to visual IDEs, from low-code to no-code, each wave has aimed to lower the barrier between business intent and working software. The latest chapter in that story is now emerging: Vibe coding.

Rather than writing syntax line by line or even dragging and dropping pre-built components, Vibe coding lets you express your intent conversationally. The AI understands the “vibe” of what you’re trying to build — whether that’s an app, workflow, or integration — and turns that intent into working code or configuration.

This approach has already taken root in lightweight prototyping tools such as Loveable, where developers and non-developers alike can spin up concepts in hours rather than weeks. But with Salesforce’s announcement of Agentforce Vibes , we are beginning to see Vibe coding move beyond prototypes into the enterprise mainstream.

What exactly is Vibe coding?

At its simplest, Vibe coding is the ability to “talk to your platform” in natural language. Instead of saying:

public class DonationHandler {
    public static void createThankYouTask(Opportunity opp) {
        if(opp.StageName == 'Closed Won'){
            Task t = new Task();
            t.Subject = 'Send Thank You Note';
            t.WhatId = opp.Id;
            t.OwnerId = opp.OwnerId;
            insert t;
        }
    }
}

You might instead say to an AI agent:

“When a donation is marked as Closed Won, create a task for the opportunity owner to send a thank-you note.”

The agent generates the code, creates tests, and even explains the logic back to you in plain English. You’re working at the level of intent rather than syntax.

The emergence of Vibe platforms

In the last two years, a number of start-ups have explored this space. Platforms like Loveable gained traction by showing how quickly a single developer or business analyst could go from an idea to a functioning app. Their strength lies in speed of prototyping: generating mock-ups, wiring basic CRUD logic, and giving stakeholders something tangible to react to.

The limitation has been in scale and governance. Enterprises need more than a demo — they need:

• Version control and deployment pipelines

• Security and compliance frameworks

• Integration with existing systems

• Robust testing and maintainability

Until now, most Vibe coding platforms weren’t designed to operate under those constraints.

Salesforce Agentforce Vibes: intent meets enterprise

Salesforce’s October 2025 announcement of Agentforce Vibes is therefore a significant shift. It takes the energy of the Vibe coding movement and combines it with Salesforce’s trusted enterprise framework.

Key highlights include:

• Vibe Codey: an AI pair programmer that understands your Salesforce schema and context, generating Apex, Lightning Web Components, HTML, and more.

• Conversational refactoring: ask Codey to “simplify this method” or “extract a reusable service” and it adjusts your code intelligently.

• Test generation and analysis: automated unit tests, performance reviews, and security scans are baked in.

• Governance by design: all activity flows through Salesforce’s DevOps Center, Sandboxes, and compliance controls — ensuring Vibe coding remains safe for enterprise deployment.

This isn’t about bypassing development rigour; it’s about embedding AI directly within it.

Why it matters

The implications are significant for both businesses and developers:

• Faster delivery: Projects that once needed months of iteration can be accelerated dramatically.

• Reduced technical debt: By starting with AI-generated patterns that adhere to platform best practices, teams avoid common pitfalls.

• Broader participation: Business stakeholders can articulate needs in natural language, and see them translated into working features more quickly.

• Focus on creativity: Developers spend less time on boilerplate tasks and more time on designing experiences and solving unique problems.

In short: innovation cycles compress, without compromising trust.

What this means for digital teams

Every new wave of technology brings both excitement and risk. With Vibe coding, the risks are clear: over-reliance on AI, the temptation to bypass architectural thinking, and the challenge of reskilling teams. But the rewards are compelling enough that few organisations can afford to ignore it.

Digital leaders should be considering three questions now:

1. Where could Vibe coding safely accelerate delivery?
   Start with low-risk areas such as internal tools, prototypes, or data quality automation.

2. How do we integrate AI-assisted development into governance?
   Tools like Agentforce Vibes make this easier, but policies and guardrails will still need to evolve.

3. What new skills will developers need?
   The shift isn’t from coding to no coding, but from coding to orchestrating AI. Skills in prompt design, reviewing generated code, and blending human creativity with machine assistance will become core.

The road ahead

It’s unlikely that Vibe coding will replace traditional development entirely. Complex architectures, integrations, and performance-critical systems will always need human expertise. But what will change is the default mode of building.

We will see hybrid workflows where:

• Declarative configuration remains the fastest path for common CRM needs.

• Traditional coding handles performance and complexity.

• Vibe coding bridges the gap, accelerating everything from simple automation to advanced UI components.

For organisations, the opportunity is to embed Vibe coding into existing delivery models, not treat it as a parallel experiment.

Conclusion

Vibe coding represents more than just another buzzword. It’s the natural evolution of decades of effort to align technology closer to human intent. With platforms like Loveable blazing the trail, and Salesforce now embedding Vibe capabilities within a trusted enterprise framework, this is a moment worth paying attention to.

Teams that learn to balance speed with governance will gain a competitive edge — not just by delivering faster, but by delivering smarter.