Do you write Elixir but sometimes miss the benefits of type safety we have in other languages? If the answer is "yes", you may want to take a look at Gleam. It is a relatively young language that runs on top of the BEAM platform, which means it can be added as an enhancement to an Elixir codebase without you having to rewrite everything. In this article, we will add Gleam code to an Elixir project.

As a developer working with microservices architectures, you may find yourself facing numerous challenges. Managing multiple services, each with its own potential points of failure, can be complex. Issues such as communication difficulties, security concerns, and lack of visibility are common in these environments. These challenges are not unique. As microservices architectures expand, they often introduce complexities that can be demanding for development teams to handle.

Per the trends suggested by Red Hat, modernization is among the topmost funding priorities (45%) for global businesses - all thanks to the promises of better digital experience, cloud-native, and quicker time to market. Generative AI can fulfill these promises by automating legacy system updates, enhancing user interfaces, facilitating cloud migration, and expediting software delivery.

Bug bashes are time-boxed events where participants (developers, testers, product managers, and customers) come together to identify and report as many bugs as possible, providing a fresh perspective on the software. They encourage cross-functional interaction, accelerate the bug discovery process, uncover critical issues, improve the overall quality of the software, and enhance product reliability before release. To organize one, you need to consider.

‍Our commitment has always been to ensure that our developers enjoy a seamless experience on Bitrise. However, with every major tool or version update, there is always a potential for disruptions, especially for workflows that have grown reliant on the specifics of an older stack.

API rate limiting involves using a mechanism to control the number of requests an API can handle in a certain time period. It's a key process for ensuring that APIs perform to a high level, provide a quality user experience, and protect the system from overload.

While continuous integration is a common practice for most software development teams, the stateful nature of WordPress makes it more challenging to set up. For our open source WordPress plugin, we wanted to integrate our standard build and test process for every pull request using CircleCI. CircleCI is a cloud-based CI/CD platform that streamlines the development process for creating, testing, and deploying code changes.

Today, Snowflake is excited to announce that the Llama 3.1 collection of multilingual large language models (LLMs) are now available in Snowflake Cortex AI, providing enterprises with secure, serverless access to Meta’s most advanced open source model. Snowflake offers the largest context window of any vendor, at 128k, for the Llama 3.1 collection of models.

The BFSI sector is undergoing a transformative evolution, leveraging technologies like Generative AI for personalized fintech software development. Dynamic credit scoring, advanced robo-advisors, and intelligent automation are streamlining fintech services for better customer experience. Blockchain, too, is encouraging cross-border payments and trade finance through DeFi. Embedded solutions create seamless user experiences, and the sector embraces the virtual realm with IoT and virtual storefronts.