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Medium

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Who leads the AI industry today and who will in future.

  • Microsoft, valued at around $2.888 trillion, leads the AI industry today. Its partnership with OpenAI has contributed to advancements in AI applications.
  • NVIDIA, with a market cap of about $2.83 trillion, plays a pivotal role in the AI industry with its essential GPUs for AI computations.
  • Alphabet (Google), with a market capitalization of approximately $2.092 trillion, is a trusted name in the tech world with investments in AI research and development.
  • In the future, emerging players like Meta Platforms, Tesla, Oracle, IBM, OpenAI, and Anthropic are poised to lead in the AI industry with their innovative approaches and market potential.

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Siliconangle

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Portworx helps HSBC handle Kubernetes at scale with no margin for error

  • HSBC Group operates a Kubernetes platform at an extraordinary scale with 13,000 nodes, 200+ clusters, and over 600 production services.
  • They prioritize high reliability due to handling millions of transactions and trillions in payments, making data integrity critical.
  • HSBC leverages Portworx by Pure Storage for Kubernetes data management, discussed at KubeCon + CloudNativeCon Europe.
  • Kubernetes clusters constantly upgrading with regulatory demands are challenging for HSBC, requiring features like backup from Portworx.
  • Portworx provides HSBC with backup, disaster recovery, and replication capabilities needed to manage Kubernetes at scale.
  • Portworx deeply integrates into the control plane and enterprise culture, supporting thousands of nodes and teams at HSBC.
  • The integration of Portworx has improved Kubernetes data management at HSBC, offering a consistent developer-friendly experience.
  • Portworx ensures easy adoption and operation at scale by integrating with customers' workflows and providing a self-service experience.
  • The partnership between Portworx and HSBC has facilitated a more seamless container ecosystem experience across the bank's global footprint.
  • The collaboration enhances efficient Kubernetes data management, ensuring a smoother workflow for HSBC's infrastructure operations.

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Dev

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Easily Perform AI-powered Code Reviews In Minutes (CodeRabbit + GitHub)

  • This article introduces AI-powered code reviews using CodeRabbit and GitHub to enhance code quality and catch bugs efficiently.
  • Code reviews are essential for ensuring code functionality, readability, and preventing issues before merging.
  • CodeRabbit is an AI-powered tool that conducts code reviews instantly, freeing developers from manual review processes.
  • Prerequisites for this tutorial include a basic understanding of React or Next.js.
  • The tutorial guides users through setting up a Blog app, integrating it with CodeRabbit, and creating pull requests for review.
  • CodeRabbit automates the code review process and provides a summary, detailed walkthrough, and identifies potential issues in code changes.
  • Advanced features of CodeRabbit include Committable Suggestions, Chat functionality, Custom review instructions, and CI/CD pipeline integration.
  • Custom review instructions help maintain consistency in the codebase, and integration with CI/CD pipelines automates code analysis and fixes during build and deployment.
  • The article concludes by emphasizing the importance of code reviews and how CodeRabbit can streamline the code review process efficiently.
  • CodeRabbit enhances code quality and helps developers identify and rectify issues promptly, making the codebase more robust and reliable.

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Medium

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Life as a Developer Dad: Loving, Worrying, Growing

  • Fatherhood is a challenging and stretching experience for this developer dad.
  • The lack of personal time and the challenge of personal growth have been some of the difficulties.
  • The guilt of being absent due to work also weighs heavily, despite knowing it's for his benefit.
  • The fear of not being around to see his son grow up and the memories of being bullied in the past add to the worries.

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Medium

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Python Tricks That Will Make You Feel Like a Coding Wizard

  • Python Tricks That Will Make You Feel Like a Coding Wizard
  • Conjuring list comprehensions and wielding lambda functions
  • List comprehensions are elegant one-liners for filtering lists
  • Lambda functions are useful for quick tasks without defining a full function

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Medium

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A Developer’s Guide to Diagrams

  • Architecture diagrams help visualize how different components or services fit together in a system.
  • Sequence diagrams are a great way to document APIs, service orchestration, or complex business logic timelines.
  • ER diagrams are essential when designing or updating databases and working with backend/data teams.
  • UML Class diagrams are ideal for designing or reverse-engineering OOP systems.

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newsletter.pragmaticengineer.com

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The Pulse #129: new trend of EMs quitting to be startup founders using AI

  • EMs (Engineering Managers) are quitting their roles to become startup founders using AI tools.
  • AI tools empower non-hands-on engineering leaders to launch their own businesses and build v1 products to attract customers or raise funding.
  • Leaked startup recruitment guidelines reveal the increasing importance of pedigree and the existence of blacklists for hiring engineers.
  • Donald Trump's new tariffs on US imports have the potential to significantly impact the tech industry.

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Javacodegeeks

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Enabling HTTP/2 in Spring Boot with Tomcat

  • HTTP/2 is a major revision of the HTTP protocol that improves performance by enabling multiplexed streams, header compression, and server push.
  • Spring Boot, which uses Tomcat as its default embedded server, supports HTTP/2 natively.
  • This article explains how to enable HTTP/2 in a Spring Boot application running with Tomcat.
  • The necessary steps include setting up a test project, creating a simple controller for testing, generating a self-signed SSL certificate, enabling HTTP/2 in Spring Boot, and running and testing HTTP/2 support.

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Medium

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How Artificial Intelligence is Transforming the Future of Coding

  • Artificial Intelligence (AI) is transforming the future of coding, impacting both the technical and creative aspects of software creation.
  • AI automates processes, allowing programmers to focus on developing syntax and function, improving productivity.
  • While AI coding tools have made rapid advancements, human influence is still essential to ensure logical and high-quality code.
  • AI assistants can help programmers streamline code creation, track details, and debug code, leading to more efficient and better-quality code writing.

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Dev

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Clojure Is Awesome!!! [PART 19]

  • Pattern matching is a technique in functional programming languages that allows you to match data against predefined patterns and trigger actions based on the match.
  • The core.match library in Clojure brings pattern matching capability to the language, making code more readable and maintainable.
  • To set up core.match, include it in your project and require it in your namespace.
  • Core.match offers features such as nested matching, variable binding, guards, and clarity, making it useful for handling complex structures and simplifying conditional code in projects.

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