Tags: automation*

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  1. GitLab introduces CI/CD Steps, a new programming language designed for simplifying complex DevSecOps automation workflows.
  2. OpenSensor.io provides intelligent grow automation boards and kits, such as the GrowMax, to automate watering for indoor gardens with up to 8 plants using Raspberry Pi Pico or ESP32S3 microcontrollers, and provides real-time data visualization through their API.
  3. Eran Bibi, co-founder and chief product officer at Firefly, discusses two open-source AI tools, AIaC and K8sGPT, that aim to reduce DevOps friction by automating tasks such as generating IaC code and troubleshooting Kubernetes issues.

    - AIaC (AI as Code):
    An open source command-line interface (CLI) tool that enables developers to generate IaC (Infrastructure as Code) templates, shell scripts, and more using natural language prompts.
    Example: Generating a secure Dockerfile for a Node.js application by describing requirements in natural language.
    Benefits: Reduces the need for manual coding and errors, accelerating the development process.

    - K8sGPT:
    An open source tool developed by Alex Jones within the Cloud Native Computing Foundation (CNCF) sandbox.
    Uses AI to analyze and diagnose issues within Kubernetes clusters, providing human-readable explanations and potential fixes.
    Example: Diagnosing a Kubernetes pod stuck in a pending state and suggesting corrective actions.
    Benefits: Simplifies troubleshooting, reduces the expertise required, and empowers less experienced users to manage clusters effectively.
  4. Sakana AI introduces The AI Scientist, a system enabling foundation models like LLMs to perform scientific research independently, automating the entire research lifecycle.
  5. Configuration errors persist despite automation, but new AI-driven tools are changing the game. Learn how configuration intelligence can help.
  6. Hugging Face introduces a unified tool use API across multiple model families, making it easier to implement tool use in language models.

    Hugging Face has extended chat templates to support tools, offering a unified approach to tool use with the following features:

    - Defining tools: Tools can be defined using JSON schema or Python functions with clear names, accurate type hints, and complete docstrings.
    - Adding tool calls to the chat: Tool calls are added as a field of assistant messages, including the tool type, name, and arguments.
    - Adding tool responses to the chat: Tool responses are added as tool messages containing the tool name and content.
  7. Hallux.ai is a platform offering open-source, LLM-based CLI tools for Linux and MacOS. These tools aim to streamline operations, enhance productivity, and automate workflows for professionals in production engineering, SRE, and DevOps. They also improve Root Cause Analysis (RCA) capabilities and enable self-sufficiency.
  8. Reworkd is a platform that simplifies web data extraction, using LLM code generation to help businesses scale their web data pipelines. No coding skills required.
  9. A mixture of reflections, literature reviews and an experiment on Automated Prompt Engineering for Large Language Models
  10. Browserbase provides a programmable browser platform that allows developers to automate complex online tasks using code. It offers features like advanced debugging, session recording, a proxy supernetwork, and bot detection avoidance to streamline web automation for compatibility with popular tools like Puppeteer, Playwright, and Selenium. The startup aims to serve as a key building block in an emerging AI software stack.

    “It’s not going to be just developers writing this code, it’s going to be large language models generating this code longer term,” Klein explains. “So it’s both developers and LLMs controlling these web browsers to go out and automate the daily tasks we do online.

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