2027 Kia Seltos first drive gives you plenty of SUV for not much $
It starts at just under $25,000, but the hybrid won't arrive until next year.
Insights
Practical writing on software architecture, SaaS products, AI automation, legacy modernisation, and the business of building reliable systems.
Curated links from external sources — not 360Softy original articles.
It starts at just under $25,000, but the hybrid won't arrive until next year.
Modern CI/CD pipelines often execute complete regression suites for every code change, regardless of the actual impact of the modification. While this approach guarantees broad validation coverage, it also introduces unnecessary test execution, slower feedback loops, and increased infrastructure cost. This challenge becomes more visible in microservice-based systems where repositories, services, and automation suites are distributed across multiple projects. A small change in one module can unin
Posted by Thomas Ezan, Jolanda Verhoef, Caren Chang, Senior Developer Relations Engineers, Android Developer Relations Welcome back to the blog post series "Build intelligent Android apps" where we take a basic Android app and transform it into a personalized, intelligent, and agentic experience. In our previous post we explored how to build intelligent on-device features using Gemini Nano through ML Kit's Prompt API. In this post, we will look at how you can leverage Firebase AI Logic to b
Posted by Ben Weiss, Senior Developer Relations Engineer, Android Developer Relations Welcome back to the blog post series "Build intelligent Android apps" where we take a basic Android app and transform it into a personalized, intelligent, and agentic experience. In our previous post, we explored how to leverage Firebase AI Logic to build cloud-hosted and hybrid AI features. Traditional mobile UIs excel at focused, hands-on tasks, and the Android intelligence system is introducing complement
Posted by Jolanda Verhoef, Senior Developer Relations Engineer, Android Developer Relations Building GenAI features in your app usually means navigating through various models, APIs and architecture choices: Execution location: Where does your model run? On device, in the cloud, or both? Complexity: How complex is your setup? Are you doing a single inference call or do you need a more agentic flow? In-app or Android System: Should your feature be built into your Android app or does it fit b
Posted by Caren Chang, Developer Relations Engineer, Android Developer Relations Welcome back to the blog post series "Build intelligent Android apps" where we take a basic Android app and transform it into a personalized, intelligent, and agentic experience. In our previous post we introduced Jetpacker, the demo app we'll use throughout this series. In this blog post, we will share how you can use Gemini Nano through ML Kit’s Prompt API to build intelligent on-device features. Building in
AI-generated code introduces 15 vulnerabilities on average per codebase, but the actual risk depends on framework pairing more than the model used.
We analyzed global HTTP traffic to explore how kickoff times, streaming habits, and hydration breaks reshaped online activity worldwide. From late-night traffic surges to halftime browsing spikes, here is how the world connected during the global tournament.
Work with 360Softy
Book a free consultation and we will tell you honestly whether we can help.