Acorn Labs

Meet Clio: Your DevOps Assistant 🔥 Check out all the details on our new #AI command line assistant in our latest blog here ➡️⬇️https://buff.ly/3SliuvM Clio makes it simple to chat with AI to execute local commands (with your permissions), query, diagnose, troubleshoot, and fix your systems. Out of the box it works with Amazon Web Services (AWS), Google Cloud, Microsoft Azure, DigitalOcean, Kubernetes, and GitHub, but can be easily extended. Read on to find out how to install, utilize it, and for insight on how you can use Clio to your advantage!

Build with #GPTScript 🔨 In this guide we walk thru how to create a calorie-tracking coaching script! With your OpenAI API, easily set up a chat bot and start interacting with your AI health coach here ➡️⬇️

Yesterday we released Clio (https://lnkd.in/ghG-NzVx) and I've been getting really excited about the feedback we've received. The use cases for this type of AI-powered copilot running in the CLI are pretty amazing. If you just think of using it with one system, say #Kubernetes, there are so many cool use cases. There are all sorts of obvious use cases, from checking the status of your cluster, to modifying a deployment, or composing a helm chart. But I think some of the cooler use cases will come as people start to think of Clio more as an analyst or engineer than just an interface to the AI. For example, Clio could act as a chaos monkey for Kubernetes clusters. Imagine being able to test the resilience of your system by having Clio randomly terminate pods and services. Or maybe just have her simulate what the impact of an outage would look like. Given how much LLMs know about using tools like Kubernetes, they actually can be incredibly thorough in testing systems. Another powerful use case is Clio's capability to regularly audit the security of a Kubernetes environments. By automating security audits, Clio could review network policies, identify overly permissive rules, and suggest tighter configurations to minimize attack surfaces. It's easy to imagine executing system reviews and optimizations. You could ask Clio to review the Kubernetes architecture and provide recommendations for improvements, or steps you could take to improve resource utlization. We've built a specific tool for #EKS, but I am sure we could build one as well to work with the #Rancher CLI and begin looking at configuration at the multi-cluster level. An #OpenShift agent would probably be a good enhancement as well. The list of things to work on is really long, but I'm excited to see how people experiment with Clio. #AI #DevOps

Automate your code reviews with #GPTReview - in Part 2 of this series, we show you how to integrate an AI-based code reviewer using #GPTScript into GitHub Actions. From prerequisites to step-by-step setup, see how to easily enhance your CI/CD pipeline with #AI ➡️⬇️

⚡ LIVE in 30min⚡Today we introduced #Clio, an AI assistant for your command line. #Clio makes it simple to chat with #AI to execute local commands & more. Check out our live stream premiere @ 10am PT / 1pm ET for all the details!

Join us tomorrow at 10am PT / 1pm ET - we'll be chatting with the team at Sidero Labs, Inc. on deploying AI on K8s clusters!

Thanks @AIFoundryorg for having us on last week to share all about #GPTScript! For a quick dive into what we are building with #GPTScript check out the recording here ➡️⬇️ https://buff.ly/3SBFIhF #AI #LLM #GPTScript

Speed in the delivery process is crucial, as well as ensuring the quality of the code 🧰 Streamline the code evaluation process with a personalized automated code reviewer built on #GPTscript_ai! Learn how to develop #GPTReviewer in Part 1 of this tutorial ➡️⬇️https://buff.ly/3W2OHJz

⚡Today @ 10amPT / 1pm ET⚡Tune in to our next @GPTScript_ai Live Stream! ➡️⬇️ https://buff.ly/3S1qNNs We're excited to showcase our new UI and how we're using it to build co-pilots, interact with assistants & more. Don't miss out! 🗓️ Fri. July 12, 2024 ⏲️ 10am PT / 1pm ET 📺 https://buff.ly/3S1qNNs

⚡Excited to share our new Function-Calling Test Suite (FCTS)!⚡This new framework evaluates #LLM function-calling capabilities, the fundamental feature powering #GPTScript. Have a look at our latest blog post ⬇️ https://buff.ly/460Pz5W for details on how OpenAI Anthropic Mistral AI performed and what we found: 🧩 Test Categories 📊 Rankings 🥇 Top performers 🚩 Common failures & examples