Systems | Development | Analytics | API | Testing

Speeding up AI Coding Assistants using Deterministic Feedback

AI coding assistants are transforming the way developers approach software development by automating routine tasks and enhancing code quality. These tools leverage artificial intelligence and machine learning to provide real-time code suggestions, auto-complete functions, and even debug existing code, making the development process faster and more accurate.

AI Agent Is Hitting Your APIs - Are You Ready?

It’s no longer theoretical – artificial intelligence has left research labs and entered production systems, generating a new breed of consumers – autonomous and intelligent agents. These autonomous AI agents are increasingly interacting with real-world APIs (application programming interfaces), which are sets of protocols and tools for building and integrating software applications.

Traffic Replay: Production Without Production Risk

The software and product life cycle is fraught with pitfalls and tradeoffs. While testing applications under production-like load is critical to ensuring the reliability, performance, and security of your data storage and software services, you need to do this testing without actually affecting the production data and systems. In essence, you have to pull off the impossible – be as close to production as you can without actually being production.

Stop guessing! Speedscale's Notebook finds anything in your traffic.

Debugging complex microservices just got an upgrade. This video demonstrates Speedscale's innovative Notebook capability, allowing you to perform advanced substring searches and filter production traffic based on deeply nested JSON fields within request and response bodies. Unlike traditional observability tools that only record telemetry, Speedscale's always-on recorder captures full traffic payloads, empowering you to precisely pinpoint issues, identify specific user calls, or validate API versions. Streamline your troubleshooting, enhance your testing, and gain unprecedented visibility into your production environment.

Speedscale: Avoid Regulatory Icebergs with Traffic Replay, and Save Money

It has never been more critical to establish a solid foundation for regulatory compliance. Regulations govern a wide range of functions. Some of them are obvious, such as health and human services, patient data, medical devices, and credit payments. Some of them are less obvious, especially with the ever-changing definition of what constitutes private and identifiable data. This article provides an overview of regulatory compliance challenges and the hidden risks organizations face beneath the surface.

API Security: Validating Auth and Access with Traffic Simulation Starts with Behavior

Security breaches rarely begin with a hidden zero-day exploit or a complex web of escalated hacks. They often start in very simple ways – an internal team member is breached, a permission is misconfigured, an overly permissive API endpoint is overlooked, or a JWT simply doesn’t expire. An API, or application programming interface, is a set of protocols and tools that enable different software systems to communicate and exchange data, making them essential in modern software development.

API Staging Is Not Production - But Speedscale Makes It Close

Staging environments are often looked at as the testing ground ahead of the “real” production environment. The idea is simple – build a duplicate of your production environment, run your tests, and ship with confidence. But the reality of using staging in the real world as part of a holistic API testing strategy is rarely that clean. No matter how meticulously you mirror production services, staging always falls a little short.
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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. Not integration coverage. Not mocking services. It's whether to order brown sugar boba or taro with oat milk. Let's be honest: for many companies, it's easier to justify $8 on boba than $800 on testing tools. And we're not here to judge-we're here to understand why.