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The latest News and Information on API Development, Management, Monitoring, and related technologies.

Your "Technical Debt" is a LIE! Meet QA Debt.

The REAL reason your system WILL FAIL. We all talk about technical debt, but QA Debt is the silent killer costing companies millions. It's the accumulation of skipped regression checks, outdated test suites, and ignored production data. The result? Unpredictable, catastrophic outages that can sink your business (and your career!). Learn how to identify and pay down your QA Debt before it's too late. It's not about testing more it's about testing SMARTER.

From Datadog to Checkly in minutes

Looking to cut your Datadog bill and modernize your monitoring workflow? In this session, Dan Giordano and Giovanni Rago show how to migrate your Datadog synthetic monitors to Checkly in minutes, unlocking Playwright, Monitoring-as-Code, and AI-powered automation. Timestamps: Intro — Why Migrate from Datadog Dan introduces the session, what will be covered, and who it’s for.

MySQL Mocking with Speedscale's Proxymock: A Complete Guide

Testing database-driven applications is notoriously painful. If your app depends on MySQL, you’ve probably spent hours setting up local databases, running migrations, loading data, and then cleaning everything up just to rerun your tests. This repetitive cycle slows development, breaks pipelines, and introduces inconsistency between local and production environments.

Building LLM agents to validate LangGraph tool use and structured API responses

Transitioning LLM agents from intriguing prototypes to reliable, production-grade solutions introduces a unique and significant challenge: the inherent stochasticity of LLMs. Unlike conventional software, where inputs predictably yield precise outputs, an LLM’s response can exhibit variability even when presented with identical prompts. To ensure the dependability of your LLM agent, you will need a rigorous validation strategy.

QA Debt: The Silent Risk That Can Take Down Your Business

In engineering, we talk a lot about technical debt — the shortcuts and compromises made in code that pile up over time. But there’s another kind of debt that’s just as dangerous and far more invisible: QA debt. QA debt is what happens when testing isn’t given the same attention as features, architecture, or performance. It’s the accumulation of missed edge cases, outdated test suites, incomplete automation, or skipped regression checks.

Testing AI Code in CI/CD Made Simple for Developers

Generative AI can produce code faster than humans, and developers feel more productive with it integrated into their IDEs. That productivity is only real if CI/CD tests are solid and automated. When not appropriately tested, you may encounter a production issue that you haven’t seen before. According to the State of Software Delivery 2025 report, 67% of developers spend more time debugging and resolving security vulnerabilities in code generated by AI.

What is API-First Networking?

When you build your network with APIs at its core, you give your business a competitive edge. Here’s how to do it. Application Programming Interfaces (APIs) have become ubiquitous with modern networks for good reason. As companies use more service providers, endpoints, and software platforms, APIs help them get the most possible utility from their data with the least possible effort.

The Developer's Guide to Debugging AI-Generated Code

AI coding tools like ChatGPT, GitHub Copilot, and Claude have completely changed how we write software. From humble beginnings where non-AI-enabled code assistants made intelligent code suggestions, like Intellisense, the latest agentic tools can generate entire functions, suggest optimal algorithms, and even scaffold complete applications in minutes. However, as any developer who’s worked with AI-generated code knows, the output isn’t always perfect.

Need to do Integration Testing without a real Postgres SQL Database? #speedscale #postgres #sql

Struggling with integration testing because you need a real Postgres SQL database running? This video walks you through how to use Speedscale's proxymock to easily record and mock a live Postgres connection. You'll see how to: By the end, you'll be able to create realistic database mocks for your testing and development, saving you time and hassle.