From a Quick Conversation to Production-ready Integration

How Porter Labs Integrated Pearl Enterprise Across Three Products Using Vibe Coding

At Pet Connect 2025, Pearl Enterprise connected with the team at Porter Labs. What followed was a clear example of how modern AI-assisted development can dramatically compress integration timelines.

In a single implementation effort, Porter Labs successfully integrated Pearl Enterprise’s API into three separate product stacks:

• Their core mobile application

• A smart dog collar tracking product

• A connected dog feeder product

One build. Three live surfaces. Fully operational.

A New Kind of Integration Workflow

Porter Labs’ engineering team used Claude Opus 4.5 to fully read and understand Pearl Enterprise’s public API documentation end to end. From that understanding, the model was used to generate integration code that fit directly into their existing systems.

This vibe coding approach allowed the team to move from documentation to deployment without the usual friction, rework, or long onboarding cycles.

What Vibe Coding Means in Practice

Vibe coding goes beyond basic code generation. Instead of treating APIs as isolated endpoints, the model reasons about:

• Product intent and system behavior

• How data should flow between devices and applications

• How new capabilities should feel native inside an existing stack

  
  

In this case, Pearl Enterprise was integrated once and then extended naturally across multiple products, each generating different types of dog behavior, training, and device data.

The result was clean, working integrations with minimal engineering overhead.

Why This Matters for Pearl Enterprise Customers

Traditional API integrations often slow teams down. They require long onboarding processes, custom mapping, and repeated engineering effort for each new product surface.

Porter Labs reported the opposite experience.

Because integrating Pearl Enterprise required such minimal effort, it actively accelerated their roadmap. The ease of implementation made it practical to expand Pearl’s role across more devices, more data streams, and more customer-facing experiences.

What Porter Labs Is Exploring Next

Following the initial success, Porter Labs is now exploring additional ways to extend Pearl Enterprise across their ecosystem, including:

• Transmitting live dog training signals

• Sending personalized dog profile and behavioral data

• Incorporating feeder and nutrition data into training insights

• Launching a dedicated dog training application

• Potentially connecting product recommendations through affiliate data

Each of these ideas builds on the same Pearl Enterprise integration foundation.

Current Status

Porter Labs is moving forward with a signed beta agreement and expanded API access. An in-app screenshot captured today shows Pearl Enterprise actively receiving personalized dog training data from a live Porter Labs product environment.

This is not a prototype. It is a working system.

The Bigger Picture

This case study reflects how Pearl Enterprise fits into a new generation of product development:

• Clear, machine-readable API documentation

• AI models capable of full-stack reasoning

• Integrations that scale across devices, not just apps

• Faster paths from idea to production

As AI-assisted development becomes standard, integrations like this move from being exceptional to expected.

More updates on Porter Labs coming soon.