Automated API Governance with Traffic Snapshots
API governance often gets a bad rap. It’s painted as the bottleneck - why new APIs (application programming interfaces, which are standardized protocols that...
Speedscale Blog
Latest insights on API testing, performance optimization, and software development best practices from the Speedscale team.
The Hidden Cost of API Security Misconfigurations - And How to Catch Them Early
Security misconfiguration remains one of the most persistent and preventable causes of API vulnerabilities today. Despite its well-documented status in the...
Boba Paradox
It’s 2PM on a Thursday. Your engineering team is knee-deep in bugs from a recent release. But what’s the Slack channel buzzing about? Not flaky tests.
Train on Gold, Not Garbage - Making Powerful AI Models from Golden Data
In 2025, training AI and Large Language Models is no longer just about scale - it’s about the quality of the signal. Artificial intelligence (AI) is a field...
Enterprise Vibe Coding
_Expanded explanations, guardrails, and practical check-lists included._ Vibe coding is a new approach to building software that emphasizes rapid...
R-RAG: Building a Resilient Retrieval-Augmented Generation Service
Retrieval-augmented generation (RAG) has quickly become the architecture of choice for enterprises building AI applications that require access to external...
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...
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.