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Dev

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🎉 Build Your Own Personal Voice AI Agent to Control All Your Apps⚡

  • Build your own personal voice AI agent to control apps with voice commands.
  • Tutorial covers building voice AI agent using Composio, Next.js, and other tools.
  • Learn to work with Speech Recognition, Composio integration, and code for production readiness.
  • Includes setup instructions for Next.js, installing dependencies, and configuring Composio.
  • Code implementation covers helper functions, error handling, message validation, and custom hooks.

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20 Likes

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Dev

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This Is How I Mastered TypeScript Like I'm 5 (Literal Types!)(8)

  • Literal types in TypeScript allow specifying exactly what value is allowed instead of generic types like 'string' or 'number'.
  • For example, defining a variable with literal types like 'direction: 'left' | 'right' | 'up' | 'down'' restricts it to only those exact strings.
  • Using literal types helps enforce precise values in APIs, configurations, and UI options, enhancing app safety by limiting invalid inputs.
  • The article emphasizes the importance of mastering TypeScript, providing bite-sized lessons to help readers improve their coding skills.

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Self-Learning-Java

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Build a "Hello World" Chatbot using Spring Boot, Langchain4j, and Ollama (LLaMA3.2)

  • Build a Hello World chatbot using Spring Boot, Langchain4j, and Ollama.
  • Setup a Spring Boot project with Langchain4j for LLaMA 3.2 model.
  • Configure Ollama, use Spring annotations, and autowire LangChain4j components.
  • Step-by-step procedure provided to create a functional AI chatbot application.
  • Details on dependencies, configuration, services, controllers, and running the application.

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1 Like

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Self-Learning-Java

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Simplify LLM Integration with LangChain4j AI Services

  • Working with low-level components like ChatModel, ChatMessage, and ChatMemory can lead to writing a lot of boilerplate code when building LLM-powered applications.
  • AI Services provided by LangChain4j offer a simplified, declarative API to abstract the complexities of working with LLMs and related components.
  • Key capabilities of AI Services include formatting input for LLMs, parsing output from LLMs, and support for features like chat memory, tool integration, and Retrieval-Augmented Generation (RAG).
  • AI Services are suitable for building stateful chatbots with multi-turn interactions and stateless automation tasks, providing a cleaner and faster way to interact with LLM models.

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15 Likes

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Dev

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How Simple Animations Can Make a Big Impact on Your Website

  • Implementing simple animations using Framer Motion and React can enhance user experience.
  • Example includes a smooth reveal component with navbar fading, text and video animation.
  • Footer slides in with content, showcasing how basic animations can elevate websites.
  • You can improve site feel with subtle animations without relying on complex libraries.

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2 Likes

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Dev

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Why Laravel Developers Need to Think Like Hackers

  • Laravel developers need to think like hackers to build secure applications.
  • While Laravel provides security features like CSRF protection and input validation, developers must not rely solely on defaults.
  • Hackers exploit assumptions made by developers, highlighting the importance of testing for unexpected scenarios.
  • Thinking like a hacker involves validating input thoroughly, monitoring app behavior, and using tools like Burp Suite and OWASP ZAP for security testing.

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19 Likes

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Javacodegeeks

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Building GraphQL APIs with Spring Boot and Netflix DGS Framework

  • Developing GraphQL APIs with Spring Boot and Netflix DGS Framework for efficient data querying.
  • Schema-first design, resolvers, and performance tips for building robust GraphQL APIs in Spring Boot.
  • Integrating DGS framework for Java-based microservices, schema-first design approach, and writing resolvers.
  • Performance optimization strategies like data loaders, query depth limiting, and schema stitching discussed.
  • Real-world use case at Netflix and how DGS accelerates dynamic frontend development.

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4 Likes

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Logrocket

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I tried Figma Make — here’s what it gets right (and what’s still broken)

  • Figma Make, a generative AI tool, aims to streamline workflow between designers and developers.
  • Prototyping in Figma currently requires manual work, but Figma Make hints at a smoother process.
  • Handoff process, accessibility tests, fixing bugs, and smarter iterations could be enhanced.
  • Blurred lines between design and development with AI assistance expected in the future.
  • Designers must maintain responsibility when using AI tools to avoid sameness and errors.

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19 Likes

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Javarevisited

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How to loop through an Array in Java? Example Tutorial

  • There are multiple ways to loop over an array in Java, including for loop, enhanced for loop, while loop, and do-while loop.
  • While and do-while loops depend on conditions like null, even, or odd elements, whereas for and enhanced for loops are used to access and print each element in an array.

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9 Likes

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Javarevisited

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24

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How to find If Linked List Contains Loop or Cycle in Java? Example Solution

  • Linked list related data structure interview questions often include checking for a loop or cycle in Java.
  • Understanding concepts of singly linked list, doubly linked list, and circular linked list is crucial for solving such questions.
  • Familiarity with inserting elements and finding the length of a linked list is important in handling more advanced linked list problems.
  • Knowledge of Java, Unix, Tibco RV, and FIX Protocol is beneficial for mastering linked list algorithms.

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1 Like

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Dev

9h

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63

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5 Tools That Helped Me Catch 70% More Bugs in the Codebase [Important!]

  • By utilizing tools like Entelligence AI and SonarQube scans, bugs reduced by 70%.
  • CI/CD pipelines with automated tests, Sentry error monitoring, and linters were essentials.
  • Combining AI code review with static analysis and testing tools boosts code quality.

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3 Likes

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Medium

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How I Build Million Dollar Frontends (While Other Developers Play Jenga with Boxing Gloves)

  • Large frontend projects can feel overwhelming and require extensive QA, akin to playing Jenga with boxing gloves.
  • Frontend developers may face challenges like inheriting slow React applications that take significant time for testing and building, causing frustration and leading to turnover.
  • The disparity in pay between backend and frontend developers is attributed to the difference in handling performance issues, with backend performance being prioritized over frontend performance.
  • Optimizing frontend performance is crucial to avoid costly backend problems that can range from thousands to millions of dollars.

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9 Likes

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Medium

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Fantastic Bugs and Where To Find Them

  • The author shares experiences with bugs while working with Flutter, React Native, Ruby, and Node.js.
  • Examples include issues like missing font assets, unexpected backend changes, and problems with state management in Flutter and React.
  • Recommendations are given to improve coding practices like writing defensive code, proper state management, and avoiding common pitfalls in React.
  • The author concludes with humorous anecdotes and advice for developers to handle bugs effectively in their projects.

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8 Likes

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Medium

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$500 Google Payday is marketed as a done-for-you, AI-powered income system created by Glynn Kosky…

  • Google Payday, a system by Glynn Kosky, is marketed as a done-for-you, AI-powered income system available for a $17 one-time fee.
  • Users are guided through a process to generate a 'Magic Link' to share, with claims that Google’s algorithm will drive free buyer traffic that converts into commissions effortlessly.
  • The system promotes benefits such as low cost entry, beginner-friendliness, automated workflow via AI, and the appeal of earning passive income.
  • The product is marketed as a way to earn $500 a day with no experience or effort, and offers an affiliate link for interested users.

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1 Like

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Javacodegeeks

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188

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Spring AI – OpenAI TTS Example

  • OpenAI's Text-to-Speech model in Spring AI enables natural-sounding speech generation for Java.
  • Configure the model, voice, response format, and speed settings for accurate audio synthesis.
  • Use OpenAI's TTS model to convert text to speech in a Spring Boot application.
  • Stream audio in real-time for voice apps and customize voices dynamically.
  • Integrate TTS capabilities with Spring Boot for virtual assistants and accessibility features.

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11 Likes

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