The SDK provides observability support for Kotlin Multiplatform (KMP) projects on Android, iOS, and JavaScript via a single standardized API, giving the cloud-native community a vendor-neutral Kotlin implementation.
The TypeScript team released an early preview of TypeScript 6. This release is mainly about internal changes preparing for the future Go-based compiler planned for TypeScript 7. Large monorepos could see dramatic speed improvements once the Go compiler lands.
Tracy is compatible with Kotlin from version 2.0.0 and Java from version 17. Integrations can be made with SDKs from OpenAI, Anthropic, and Gemini. The library also works with common Kotlin/LLM stacks including OkHttp and Ktor clients, as well as OpenAI, Anthropic, and Gemini ones.
When I was a kid, there used to be a Museum railway station in Melbourne, Australia. In 1995, it changed its name to match the shopping center above it - a microcosm of how the mentality of my home city has shifted - but Sydney still has a Museum station. The aesthetics of Sydney's Museum Station evoke London Underground vibes as my train from Sydney Airport stops under Hyde Park, the oldest public park in Australia and the first to be named after its more
Also in version 1.10.0, Compose Multiplatform now uses the Web Cache API to cache successful responses for static assets and string resources. This avoids the delays associated with the browser's default cache, which validates stored content through repeated HTTP requests and can be slow on low-bandwidth connections. The cache is cleared on every app launch or page refresh to ensure resources remain consistent with the application's current state. This capability is an experimental feature.
Join us on March 4th 2026, for an unforgettable, non-stop event, streamed from our studio in Amsterdam. We'll be joined live by 15 well-known and beloved speakers from Python communities around the globe, including Carol Willing, Deb Nicholson, Sheena O'Connell, Paul Everitt, Marlene Mhangami, and Carlton Gibson. They'll be speaking about topics such as core Python, AI, community, web development and data science.
Over the past months, I've watched two clients move from Scala (Play, Slick, Akka, Akka Http ... ) to Kotlin (Spring, JPA/Hibernate). In my current role, an engineering decision was made to move away from Scala. The decision was driven less by Scala's shortcomings and more by long-term career risk management: leaders understandably favor stacks (Java/Kotlin) that maximize hiring flexibility in a volatile market.
As has been the case for several years, Google revealed the conference's dates for 2026 after enough folks completed a puzzle on the I/O website. This year's puzzle has multiple "builds" to play through, all of which use Gemini. They start with a mini-golf game in which a virtual caddy that's powered by Gemini offers some of the most anodyne advice imaginable.
Prerequisites This guide is for all Python users who want to grow their Python knowledge, get involved with the Python community, or explore new professional opportunities. Your level of experience with Python doesn't matter, and neither does whether you use Python professionally or as a hobbyist-regularly or only from time to time. If you use Python, you're a Python developer, and Python conferences are for Python developers!
This is achieved via Model Context Protocol (MCP), an open protocol that lets AI agents work with external tools and structured resources. Xcode acts as an MCP endpoint that exposes a bunch of machine-invocable interfaces and gives AI tools like Codex or Claude Agent access to a wide range of IDE primitives like file graph, docs search, project settings, and so on.
Software development used to be simpler, with fewer choices about which platforms and languages to learn. You were either a Java, .NET, or LAMP developer. You focused on AWS, Azure, or Google Cloud. Full-stack developers learned the intricacies of selected JavaScript frameworks, relational databases, and CI/CD tools. In the best of times, developers advanced their technology skills with their employer's funding and time to experiment. They attended conferences, took courses, and learned the low-code development platforms their employers invested in.