In the ever-evolving world of tech, there's a critical decision that both businesses and developers grapple with - choosing the perfect tech stack for developing mobile apps. But why does this decision weigh so heavily on everyone's minds? Well, it all boils down to how this choice impacts the performance, scalability, and security of mobile applications. Choosing the appropriate tools requires delving into your app requirements alongside a thorough analysis of the end goal.

Local LLMs are becoming mainstream with sites like HuggingFace promoting open sharing of trained LLMs. These LLMs are often very small but still extremely accurate, especially for domain-specific tasks like medicine, finance, law, and others. Gemma is a multi-purpose LLM and, while small, is competitive and accurate. Local LLMs also have the advantage of being completely run inside your own environment.

If you’re building for mobile apps, you need Realm in your life. It’s specifically designed for mobile devs and even though it’s available on multiple platforms, it’s typically used to develop iOS apps, using Swift. Built on top of SQLite Realm Swift is a very high-level abstraction layer that simplifies database operations for the developer. Today we’re going to unpack it, with a guide that drills so far down into the subject, it’s practically in Australia.

Workplace claims are legal actions or complaints that employees set forth against their employers due to violations of employment laws or contractual agreements. In recent times, employees feel encouraged to speak up for their rights with no workplace harassment, discrimination or unjust treatment. This increased awareness has raised legal standards and regulatory frameworks and thus, employees feel more empowered to report instances of harassment and discrimination.

There’s nothing businesses desire more than growth. Your growth rate is a telling indicator of how far you’ve come in business and how soon you’ll be able to break even on investments. And if your company is shooting for an exit soon, your growth rate can be the difference between a few hundred thousand vs millions in investment dollars. With SaaS, the stakes are even higher.

Dive deeper into our Bitrise build pipeline series with a focus on conditionally running workflows for optimized CI/CD processes. Discover how to use resources more efficiently, achieve faster build times, and enhance your deployment strategy.

95% of insurers are currently accelerating their digital transformation with AI-driven claims processing. Traditionally, this process involved manual steps such as claim initiation, data entry, validation, decision-making, and payout, consuming significant time and resources. However, the introduction of AI has replaced tedious manual work, enabling companies to streamline their tasks efficiently.

If you’re tackling REST APIs, decoding API codes is essential. Think of HTTP status codes as the vital signs for API requests. Our guide strips away the complexities, offering a clear explanation of each code from ‘200 OK’ to ‘500 Internal Server Error’, and how to use them efficiently. Whether you’re a developer or a system architect, you’ll learn to interpret these codes swiftly and apply best practices for worry-free API communications.

In this blog post, we’ll demonstrate how easy it is to use Gateway API HTTPRoutes to route traffic to workloads deployed in different namespaces in a single Kubernetes cluster — a process that’s easier than ever. Previously, we only had Ingress API to define ingress routing rules. It served us well, but it also had its flaws and limitations that we had to overcome, sometimes in a hacky way.

Insurance companies and third-party administrators are increasingly turning to automated data extraction to expedite the processing of medical insurance claims. This approach serves as a better alternative to time-intensive manual claim management. Leveraging AI technology allows them to efficiently extract crucial data from documents, eliminating manual data entry errors and significantly reducing processing times.