5 Tips for Agent-to-Model Mocking
The near-ubiquity of LLM systems in 2025 has changed the game in many ways. While Large Language Models have been around for some time...
Posts about service mocking
Browse 9 posts in this category
From External Chaos to Business Value: The Power of AI Mocking
In today’s interconnected software landscape, applications rarely live in isolation. They depend on a multitude of external services and third-party APIs –...
Take Control of Your AI Routing: Mocking Claude, Gemini, and GPT-4
A few short years ago, the idea of using a Large Language Model was relegated to some specific models and implementations for a given industry or use case.
AI Code: How AI Is Changing How We Write and Test It
As a software engineer, I’ve always leaned on a solid foundation of code reviews, unit tests, and CI pipelines to ensure quality. But AI has changed the game.
Unlock Cheaper & Faster AI Testing: Mocking Claude and MCP
Generative AI is quickly becoming ubiquitous in the software development space, with tools like Anthropic’s Claude offering rapid methodologies for code...
Using Proxymock with GCP Services
Google Cloud Platform, or GCP, is a cloud resources collection offered by Google for enterprise and standard users. GCP offers a wide range of cloud services...
Using Proxymock with AWS Services
Amazon Web Services, or AWS, offers a variety of cloud services ranging from AWS resources such as CDNs and data lakes to cloud computing and transformation...
Testing LLM backends for performance Guide
While incredibly powerful, one of the challenges when building an LLM application (large language model) is dealing with performance implications.
Modernize Test Data Management with Traffic Replay
In software testing or platform engineering, having realistic data is crucial. For years, teams have relied on Test Data Management (TDM) to copy entire...