Systems | Development | Analytics | API | Testing

How to Talk to Your CFO About AI Gateway Metrics Without Losing Them in the First Slide

Your AI infrastructure is producing financial signals your CFO has never seen. Token consumption is a direct cost line item. Cache hit rate is a margin improvement. Model routing decisions are cost arbitrage events. These things are happening right now, in the gateway layer, with no route to the CFO, which means no route to the boardroom. As the AI connectivity platform owner, you're the person who can build that route.

Your AI Agent Knows What. It Doesn't Know Why.

There's a reason we don't find our keys by scanning every room like a security camera. We replay the tape. We remember the groceries, the front door, the distraction. We reconstruct the *why* to find the *where*. Our brains are commit logs, not snapshots. Most agentic AI systems today work more like the camera — a static frame of the world at a given moment. They store state. They retrieve context. They produce an answer.

From Traffic Context to Confirmed Fix in 3 Minutes

We’ve been building an AI agent that can take a production bug, find the root cause in captured traffic, write a fix, and validate it before a human reviews it. We call it Agent Factory. Last week we ran it on ourselves, against a real bug in our own production service. The first thing we did was get the workflow wrong.

Anatomy of the AI Software Factory: The Context Layer

This is Part 2 of the AI Software Factory series. In Part 1, we established that the Agile methodology is buckling under the weight of “elastic code.” When AI agents can generate functionality in seconds, two-week sprints and manual task management become organizational bottlenecks. We introduced the concept of the AI Software Factory: a shift from managing human tasks to managing business intent through a “Funnel of Increasing Trust.” But a factory requires infrastructure.

What's new in SmartBear ReadyAPI: AI-powered test generation | ReadyAPI

SmartBear ReadyAPI's AI-powered test generation instantly builds functional test cases from a simple natural language prompt. Stop writing API tests manually and let AI do the heavy lifting. In this demo, we show how you can take an OpenAPI spec and generate tests complete with assertions, authentication headers, test data, and request chaining. Whether you test complex microservices or APIs with hundreds of endpoints, ReadyAPI helps QA teams move faster without sacrificing quality or control.

What Is Sandbox Testing? Types, Benefits, And Best Practices (2026)

Sandbox testing catches the failures that staging misses, and production makes expensive. Every team reaches a point where testing against real systems stops being practical. The payment gateway costs money per call. The third-party notification service has rate limits. One wrong database query corrupts shared test data and breaks everyone’s runs. A sandbox environment for testing gives you an isolated, controlled space where none of that matters.

Mock Testing: A Complete Guide For Developers (2026)

How much of your CI runtime is spent waiting on APIs that return the same response every time? For most teams, it’s more than they realise. Mock testing cuts that wait to zero. Instead of calling real services, teams simulate the responses they need. Faster feedback, better isolation, and test runs that don’t fail because a payment sandbox was slow. But like most testing techniques, mocking works well only when used correctly.

The API testing gap: How AI-accelerated development challenges software quality

While AI accelerates development velocity by a factor of ten, a critical consequence remains: testing hasn’t kept pace. According to SmartBear research, 70% of software professionals report that their application quality has already degraded due to AI-accelerated development. Even more concerning, 60% have experienced quality issues in the past year as development velocity outstrips testing capacity.

Building an API Gateway with Koa and AppSignal

In an API-driven setup, a gateway often sits between clients and backend services: it can validate input, aggregate upstream responses, and give you one place to observe traffic. Koa is a strong fit for that role. Its core stays small, async/await is first-class, and middleware composes in a predictable stack. In this article, you will build a compact API gateway with Koa that: You will also wire up AppSignal for the Node.js stack.