Best of AutomationMarch 2025

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    Video
    Avatar of TechWithTimTech With Tim·1y

    I Built a Web Scraping AI Agent From Scratch - It's Insane...

    Building powerful AI applications requires the integration of large language models (LLMs) with real-time data and useful tools. In this post, the author demonstrates the development of an AI travel agent using Python. This agent uses Bright Data APIs for real-time travel data, Google Flights, and hotel information to provide relevant and current recommendations. The post covers the project's architecture, details the steps of web scraping with automated browsers, and explains how the AI processes and combines data to generate personalized travel plans.

  2. 2
    Video
    Avatar of tiffintechTiff In Tech·1y

    Tech Skills That Will Survive AI Automation

    Despite the widespread belief that AI is replacing tech jobs, research shows that AI is actually creating new opportunities and making certain tech skills more valuable. Key future-proof skills include systems architecture and integration, AI orchestration and prompt engineering, machine learning infrastructure design, data ethics and governance, and human-AI collaboration design. Courses from platforms like Coursera, Udemy, EdX, and Stanford are recommended for upskilling in these areas. Mastering these skills involves understanding the interplay between technology, human needs, and societal implications.

  3. 3
    Video
    Avatar of youtubeYouTube·1y

    8 Insane AI Agent Use Cases in N8N! (automate anything)

    Explore eight diverse AI agent use cases with n8n, ranging from data analysis to creating viral shorts. Learn how AI agents can automate tasks, enhance workflows, and provide insights across various domains. This post highlights practical examples and how the AI Foundations community can help you build and implement these agents efficiently.

  4. 4
    Article
    Avatar of testimioTestim.io·1y

    Unit Test a REST API? Everything You Need to Know

    Learn the importance of proper testing in building high-quality REST APIs and discover the three key types of automated tests you should have in your test suite: unit tests, integration tests, and UI tests. Understand the role of each test type and how to implement them effectively to ensure your application remains stable and bug-free through continuous changes and refactoring.

  5. 5
    Article
    Avatar of detlifeData Engineer Things·1y

    Workflow Orchestration Tools

    Workflow orchestration tools like Airflow, Prefect, Windmill, Kestra, Temporal, and Dagster are essential for managing complex processes across automated tasks and systems. Key features include automated task scheduling, error handling, integration with multiple tools, real-time monitoring, and scalability. Each tool has unique strengths: Airflow with its robust community and dynamic workflows, Prefect's cloud-native integration and flexibility, Temporal's advanced workflow management, Kestra's event-driven architecture, Windmill's efficient runtime and low-code builders, and Dagster's asset-centric approach and modular architecture.

  6. 6
    Article
    Avatar of spaceliftSpacelift·1y

    15 GitOps Best Practices to Improve Your Workflows

    GitOps uses Git repositories as the source of truth for managing infrastructure and application configurations, driving efficiency and reliability in software delivery. This guide outlines 15 best practices for scaling GitOps workflows, such as automating processes with CI/CD pipelines, applying declarative configuration, enabling drift detection, and nurturing a GitOps culture within teams. Key tools like Terraform, Pulumi, and Kubernetes help implement these practices, ensuring consistency and reducing manual interventions. Adopting GitOps can lead to more predictable and maintainable infrastructure management, enhancing operational flexibility across different environments and cloud providers.

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    Article
    Avatar of swizecswizec.com·1y

    AI writes good tests, actually

    Using AI, specifically Cursor, to write tests can be surprisingly effective. It assists in generating tests based on code comments and intent, identifying bugs, and iterating input combinations. This automation helps focus on creating meaningful input scenarios rather than writing and managing tests manually, making the testing process more efficient and insightful.

  8. 8
    Article
    Avatar of weaviateWeaviate·1y

    What Are Agentic Workflows? Patterns, Use Cases, Examples, and More

    Agentic workflows enhance AI agents by providing structure and adaptability, allowing them to plan, execute tasks with tools, and learn from past experiences. This process makes them effective in tackling complex tasks across various domains. Core components like reasoning, tool use, and memory define these workflows. Use cases such as agentic RAG and research assistants demonstrate the practical application of agentic workflows, while various patterns like planning and reflection help in optimizing performance. Despite their benefits, agentic workflows also come with challenges, including potential complexity and the need for careful oversight.

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    Article
    Avatar of hnHacker News·1y

    microsoft/playwright-mcp: Playwright Tools for MCP

    Microsoft's Playwright MCP is a Model Context Protocol (MCP) server designed for browser automation using Playwright. It allows LLMs to interact with web pages through structured accessibility snapshots, avoiding the need for vision models. Highlights include fast and lightweight operation, LLM-friendly tools, and deterministic tool application. The MCP supports tasks like web navigation, form-filling, data extraction, and automated testing. It’s installable via VS Code CLI and supports both headless and headed modes. There are two modes: Snapshot Mode (default) for performance and reliability, and Vision Mode for visual interactions.

  10. 10
    Article
    Avatar of bytebytegoByteByteGo·1y

    How Uber Built Odin to Handle 3.8 Million Containers

    Uber created Odin to automate the management of its massive database and storage infrastructure, handling 3.8 million containers and over 100,000 hosts. Odin utilizes self-healing loops, efficient resource scheduling, and technology-agnostic integration to ensure high availability, optimal performance, and minimal manual intervention. Key features include self-healing systems, dynamic workload rescheduling, and efficient storage management. Odin represents a significant advancement in automated, intent-based infrastructure management.

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    Article
    Avatar of ghblogGitHub Blog·1y

    5 GitHub Actions every maintainer needs to know

    GitHub Actions can streamline the process of maintaining open source projects by automating repetitive tasks. Key actions include 'stale' for managing inactive issues, 'super-linter' for enforcing code standards, 'create-or-update-comment' for automated responses, 'release-drafter' for generating release notes, and 'pull request labeler' for consistent PR labeling. These tools help maintain order and efficiency, allowing maintainers to focus on coding and community building.

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    Article
    Avatar of hnHacker News·1y

    Self-contained Python scripts with uv

    Learn how to make Python scripts self-contained and executable by incorporating the uv tool into the shebang line. This enables the script to automatically handle dependencies and run in an isolated virtual environment, eliminating the need for manual dependency management and system clutter.

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    Article
    Avatar of phProduct Hunt·1y

    LaiXi - One desktop, hundreds of phones, batch simplified!

    LaiXi enables bulk management of Android phone farms by allowing control of over 100 devices from a single desktop. It offers low-latency control, a script sandbox for automated tasks, and features to reduce account bans. Users can access a free tier for up to 10 devices, a community script library, and compatibility with over 300 Android models.

  14. 14
    Article
    Avatar of communityCommunity Picks·1y

    coleam00/Archon: Archon is an AI agent that is able to create other AI agents using an advanced agentic coding workflow and framework knowledge base to unlock a new frontier of automated agents.

    Archon is an innovative AI agent designed to autonomously build, refine, and optimize other AI agents. The latest version, V4, introduces a comprehensive Streamlit UI for managing Archon. The system emphasizes agentic reasoning, domain knowledge integration, and scalable architecture. It supports Docker containers, Python 3.11+, and integrates with various frameworks like Pydantic AI and LangGraph.

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    Video
    Avatar of bytebytegoByteByteGo·1y

    What Are AI Agents Really About?

    AI agents are an innovative approach to software development that involve autonomous systems capable of monitoring, decision-making, and taking actions to achieve set goals. Unlike traditional software, AI agents use sensors, reasoning engines, and feedback to learn and adapt over time. They can range from simple reflex agents to complex multi-agent systems and are powered by large language models. Their integration with existing systems allows them to perform complex tasks, making them valuable for various applications.

  16. 16
    Article
    Avatar of planetpythonPlanet Python·1y

    10 Viral Tips to Learn Python Instantly 🚀

    Python remains one of the most sought-after programming languages, useful in AI, web development, and automation. Learn Python quickly with these strategies: engage in interactive courses, build mini-projects, utilize AI tools for debugging, follow structured roadmaps, gamify your learning, join Python communities, read open-source code, automate real-world tasks, take on one-day coding challenges, and stay updated with Python blogs.

  17. 17
    Article
    Avatar of dailydoseofdsDaily Dose of Data Science | Avi Chawla | Substack·1y

    Building an MCP Server

    AWS offers a tool called Amazon Q Developer, which simplifies the creation and maintenance of documentation for developers. The post also provides a comprehensive guide on understanding, building, and integrating an MCP (Message Control Protocol) server to streamline interactions between agents and tools/APIs. Key steps include defining the MCP server, exposing tools via decorators and docstrings, and integrating with the Cursor IDE to use these tools seamlessly.

  18. 18
    Video
    Avatar of lauriewiredLaurieWired·1y

    ghidraMCP: Now AI Can Reverse Malware

    The post introduces mCP (model context protocol), which enables Large Language Models (LLMs) to interact directly with applications such as Ghidra, an open-source disassembler and decompiler. By creating an mCP server for Ghidra, the author automates common reverse engineering tasks, saving time and effort. This integration allows LLMs to operate autonomously, using standardized functions to perform actions within the applications. The versatility of mCP means it can work with various LLMs and applications, offering a scalable and efficient tool for developers.

  19. 19
    Video
    Avatar of linuxcastThe Linux Cast·1y

    The End of Humanity?

    The post discusses artificial intelligence (AI), starting with a light conversation about the relevance of printers before diving into the primary topic of AI. It examines the varying perspectives on AI, from its potential to revolutionize industries to fears that it could harm humanity. The podcast hosts share personal experiences with AI tools like ChatGPT, highlighting both their benefits—such as saving time and aiding in learning—and drawbacks, including concerns about tech companies pushing AI too quickly. The conversation also addresses broader societal impacts, ethical issues, and the challenge of managing AI advancement in a way that benefits society without exacerbating existing problems.

  20. 20
    Article
    Avatar of testimioTestim.io·1y

    Javascript Methods: A Quick Way to Figure Out Methods to Use

    Testim allows teams to extend the functionalities of its platform by adding their own JavaScript code. You can find inbuilt JavaScript methods supported by Testim using Chrome's Console tab. Common methods like reload(), split(), and trim() are supported. Refer to Testim's documentation for more examples.

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    Article
    Avatar of communityCommunity Picks·1y

    bytedance/UI-TARS-desktop: A GUI Agent application based on UI-TARS(Vision-Language Model) that allows you to control your computer using natural language.

    UI-TARS Desktop, developed by Bytedance, is a GUI Agent application that uses the Vision-Language Model to allow natural language control of a computer. It offers features like cross-platform support, screenshot and visual recognition, real-time feedback, and privacy through local processing. A technical preview of a new desktop app, Agent TARS, has been released, which integrates browser operations with command lines and file systems.

  22. 22
    Article
    Avatar of spaceliftSpacelift·1y

    Top 18 Continuous Deployment (CD) Tools for 2025

    Continuous deployment (CD) tools automate the process of delivering code, increasing deployment speed and reducing manual intervention. These tools need robust monitoring, rollback mechanisms, and flexibility. Some of the top CD tools for 2025 include Spacelift, GitLab CI, Argo CD, Buddy, Octopus Deploy, AWS CodeDeploy, Jenkins, Semaphore, and Spinnaker, each with unique features tailored for different use cases and environments.

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    Article
    Avatar of spaceliftSpacelift·1y

    Top 7 Ansible Tower / Automation Controller Alternatives

    Searching for the best alternatives to Ansible Tower, also known as Ansible Automation Controller, can help you find more cost-effective and customizable solutions for configuration management. This post evaluates seven significant alternatives, including Spacelift, AWX, Rundeck, Jenkins, GitHub Actions, GitLab CI/CD, and Semaphore UI. Each alternative provides different advantages in pricing, functionality, and integration capabilities, making them suitable for various organizational needs.

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    Article
    Avatar of communityCommunity Picks·1y

    Pulse for Elasticsearch and OpenSearch - Search Cluster Monitoring & Maintenance, Redefined

    Pulse enhances the management of Elasticsearch and OpenSearch clusters by offering detailed cluster health assessments, actionable maintenance insights, and automated root cause analysis to optimize cost and performance.

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    Article
    Avatar of hnHacker News·1y

    A Shell for the Container Age: Introducing Dagger Shell

    Dagger Shell, a new bash syntax frontend powered by the Dagger Engine, combines elements of Docker, Make, PowerShell, and Nix. It provides native support for containers, secrets, typed objects, and declarative execution. Suitable for builds, tests, and deployments, Dagger Shell aims to replace complex workflows with simple, modular scripts. It integrates SDKs for multiple programming languages and ensures sandboxed execution by default, enhancing repeatability and security of tasks.