Bitrise is pleased to announce that it has been named a Leader on G2’s Spring 2023 Report in the CI/CD category.

Export your billing data to BigQuery to keep track of your cloud costs

Welcome to the latest edition of #FlutterFunFriday. This is the another instalment in a new series of posts where we’ll be spending some time to have a bit of fun with Flutter on a Friday. So grab a beverage of your choice, fire up your favourite IDE and lets have some fun!

Artificial intelligence (AI) is now well and truly mainstream. Once the preserve of futurists and doom-mongers muttering about job losses, it has become a global watercooler topic thanks to the rise of ChatGPT, which promises to transform the way the entire world goes to work. But AI has been a vital tool in the developer’s armoury for a while. It has given us new ways to optimize workflow and focus on those high-level tasks that will be forever human.

The conversations around eBPF and how this technology will shape the future of the service mesh caused a huge buzz in the last year — yes, bee pun intended. eBPF lets you run sandboxed programs in an operating system kernel. Imagining how eBPF could improve the service mesh brings exciting possibilities, but it also raises security and operational concerns given the current state and limitations of eBPF.

Generative AI and large language models (LLMs) are revolutionizing many aspects of both developer and non-coder productivity with automation of repetitive tasks and fast generation of insights from large amounts of data. Snowflake users are already taking advantage of LLMs to build really cool apps with integrations to web-hosted LLM APIs using external functions, and using Streamlit as an interactive front end for LLM-powered apps such as AI plagiarism detection, AI assistant, and MathGPT.