Systems | Development | Analytics | API | Testing

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.

Following the improvements to Bitrise’s Breakdown Chart, here is a quick walkthrough of how to leverage those Breakdown Chart improvements, including filtering options, exporting data, and more.

Making a Question Answering (QA) bot that can cite your own documentation and help channels is now possible thanks to chatGPT and Langchain, an open-source tool that cleverly uses chatGPT but doesn’t require retraining it. But it’s a far cry from “out of the box.” One example is that you have to get the prompt just right. To get an LLM (large language model) to do exactly what you want, your instructions will have to be very clear, so what if we automate that too?