Systems | Development | Analytics | API | Testing

Token costs used to be something most developers ignored. They simply dismissed them as theoretical. Now, they’re showing up in your Cursor/Claude Code bill, in every pasted error, in that package the AI pulled in without asking, or in that clarification round you didn’t plan for. Most developers choose a framework based on what they've used before, what the job description asks for, or simply whatever was used on their last project.

Version v0.2.0 of @ably/ai-transport reorganises the SDK to better support a wide range of interaction patterns. Everything in an AI session – input, output, agent lifecycle, control signals – is captured durably, allowing you to easily build the sophisticated interaction patterns that support modern AI user experiences. When we first built @ably/ai-transport, we modelled an AI conversation the way most people first picture it: as a request and a response.

Digital banking is entering a different phase in 2026. Growth is no longer driven by mobile apps alone. It is being driven by embedded finance, AI powered personalization, instant payments, and API driven banking ecosystems. According to BCG, traditional banks are steadily losing ground to fintechs and digital first banking platforms as customer expectations continue to shift toward real time and seamless financial experiences. At the same time, the market is getting crowded.

AI is accelerating how teams build and ship software, but validating quality is getting harder, not easier. More AI-generated code means more to test, more API drift to catch, and more documentation that falls behind. The work is growing faster than teams can keep up.

Dashboards, sampling, and data lakes were built for human debugging. Closing the bug-to-fix loop for AI agents requires rethinking how runtime data is collected and correlated. Observability as we know it is on its way out. For over a decade, we built telemetry stacks around a single consumer: a human, staring at a dashboard, trying to make sense of a system under stress.

WWDC 2026 delivered plenty to talk about. Apple's renewed AI push, Xcode 27 (that we shipped to customers in beta within 24 hours of the keynote!), and refreshing Liquid Glass. It also delivered a notable absence: no M5 Mac minis yet, which we covered separately. Now that the dust has settled, Bitrise’s Ben Boral went looking for the announcements that slipped past the highlight reel. If you're a mobile developer, these three are worth your time.

console.log() is a foundational tool for developers learning JavaScript. It sends messages to the browser’s DevTools console, so we can see what our code is doing at runtime. This allows us to: Because it prints information directly to the console, we can observe values, program flow, and potential issues. In this post we’re going to cover the basics of console.log() syntax, the nuances of formatting and the essential DevTools add-ons that turn console.log() from a window into a dashboard.

AI agents move fast. Securing them shouldn't slow you down. Kong and Noma are partnering to change that. This program delivers high-quality, reliable integrations providing real business value for customers..

Cloud testing security remains a source of confusion for many IT teams. It’s not simply about protecting your test environment, nor is it interchangeable with general cloud security. In the context of load testing and performance testing, cloud testing security means safeguarding the data, assets, and processes involved in evaluating how your website or API performs under stress, all within a cloud-based environment.