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Introducing tsc.run: The Serverless TypeScript Framework
- tsc.run (TypeScript Cloud) is now in public alpha, allowing developers to write functions and let the framework manage everything from routing to deployment.
- Key features include end-to-end type safety, opinionated project layout, simplified deployment using a streamlined CLI, and a roadmap for multi-cloud support.
- The framework provides automatic function discovery, file-based routing, event handling, and the ability to create subscribers for tasks like sending welcome emails.
- To deploy with tsc.run, developers can install the CLI, build and deploy with simple commands, and configure settings like project name, environment, provider, and region.
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Dev
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The Subtle Trap of ISO Date Strings in JavaScript
- When dealing with dates and times in applications, handling different time zones can lead to unexpected challenges.
- JavaScript's parsing of ISO date strings can behave unexpectedly, causing inconsistencies when using new Date(str) and parseISO(str) functions.
- Full ISO datetime strings with a 'Z' at the end are parsed as UTC and converted to local time, while datetime strings without 'Z' are interpreted as local time by both functions.
- Date-only strings without a time component can lead to different results where parseISO(str) treats them as local time, while new Date(str) interprets them as midnight UTC, potentially causing discrepancies.
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Javacodegeeks
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Fine-Grained Authorization with Spring Security and @PreAuthorize Annotations
- Spring Security allows method-level authorization using @PreAuthorize annotations.
- Enabling method security is done through @EnableMethodSecurity annotation in the configuration.
- Examples include restricting method access based on user roles, ownership checks, and complex authorization rules with SpEL.
- Users can simulate roles in unit tests using @WithMockUser or @WithUserDetails annotations.
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Medium
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The basics of programming in C++
- C++ is considered old-school but easier to understand compared to Python, and has been used to create many major games.
- In C++, proper declaration of variables, commands, and namespaces is essential for the program to work efficiently.
- Key commands like iostream, cout, and cin are necessary in C++ to perform operations like reading numbers and displaying results.
- In C++, decision structures are crucial for controlling program flow, providing different outcomes based on conditions.
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Javacodegeeks
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Introduction to Apache Kylin
- Apache Kylin is an open-source distributed analytics engine that offers fast OLAP queries on large-scale datasets stored in systems like Apache Hive or HDFS.
- Key features of Apache Kylin include pre-computed cubes, standard SQL support, massive scalability, multi-engine compatibility, security integration, and RESTful APIs.
- Apache Kylin precomputes OLAP cubes offline, stores them for fast retrieval, and integrates with BI tools like Tableau and Power BI.
- Its architecture includes components like Web UI, Metadata Store, Query Engine, Cube Engine, Storage Layer, and REST Server.
- Installation using Docker simplifies local setup, enabling users to quickly create projects, data models, and OLAP cubes in the Kylin Web UI.
- Querying Apache Kylin can be done through its Web UI, BI tools via drivers, or REST API for data automation, facilitating fast analytical insights.
- Apache Kylin is suitable for enterprise BI dashboards, marketing analytics, sales reporting, customer behavior analysis, and telecom data analysis.
- By precomputing cubes, Kylin boosts query speed, making it ideal for interactive dashboards and real-time analytics on big data platforms.
- With its fast analytics capabilities, Apache Kylin serves as a valuable tool for businesses looking to bridge the gap between massive datasets and BI needs.
- Overall, Apache Kylin offers a compelling option for enhancing analytical workloads and enabling real-time business intelligence on big data architectures.
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Medium
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Agentic Frameworks and Protocols
- LLMs, while powerful, have limitations in answering questions based on their training knowledge.
- Agentic frameworks have expanded LLM functionalities, including reasoning, internet search, and deep research.
- Agents are workflows around LLMs that make choices around tools needed for specific tasks.
- Langgraph is a popular agentic framework that enables creating workflows around LLMs.
- MCP protocol by Anthropic connects AI models to different data sources and tools across the Internet.
- MCP allows clients to access agent components together in a standardized and secure manner.
- A2A protocol focuses on agent collaboration and complements MCP for connecting sub-agents.
- Both MCP and A2A frameworks use Starlette for web services but differ in protocol methods and formats.
- MCP and A2A enable easy setup, communication, and resource access for agents, aiding in integration of LLMs.
- Open-source MCP and A2A facilitate organizations to build and share agents, enabling seamless communication across systems.
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Dev
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Fixing “502 Bad Gateway” with Gunicorn and Nginx on Ubuntu
- When deploying a Django app using Gunicorn behind Nginx, a 502 Bad Gateway error may occur due to permission issues with the Unix socket file.
- To resolve the error, ensure the correct permissions for the user running Gunicorn, remove any existing socket file, restart Gunicorn, add Nginx to the correct group if necessary, and verify Gunicorn's socket operation.
- Steps include fixing socket file permissions, removing existing socket file, restarting Gunicorn, adding Nginx to the correct group, and testing the socket using curl.
- Following these steps should help in serving your Django app without encountering 502 Bad Gateway errors.
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Javacodegeeks
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Fix Cannot Load Driver Class: com.mysql.jdbc.driver in Spring Boot
- The 'Cannot Load Driver Class: com.mysql.jdbc.driver' issue in Spring Boot arises when the application can't load the old MySQL driver class due to a mismatch in driver configuration.
- In older Spring Boot 1.x versions, the driver class name is explicitly set in the configuration, while in Spring Boot 2+, it can be auto-detected based on the JDBC URL.
- If the Spring Boot application is upgraded to a higher version with a mismatched driver class configuration, it can lead to the 'Cannot Load Driver Class' exception.
- To resolve this, ensure compatibility between MySQL Connector/J version and the driver class configuration in Spring Boot application properties.
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RealPython
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Marimo: A Reactive, Reproducible Notebook
- Marimo notebooks provide a reactive environment that addresses the limitations of linear notebooks, allowing for content reproduction and sharing.
- Features of Marimo include automatic cell updates, determining correct cell running order through a directed acyclic graph, and sandboxing for isolated environments.
- Interactivity can be added using UI elements like sliders and radio buttons in Marimo notebooks.
- Traditional linear notebooks have flaws that Marimo's reactive design tackles, such as hidden state issues.
- To get started with Marimo, you can quickly install it using 'python -m pip install marimo'.
- Marimo notebooks consist of cells – code cells for Python code and Markdown cells for formatted text.
- An example in the tutorial involves solving simultaneous equations with NumPy in a Marimo notebook.
- Icons in Marimo notebooks provide functions like deleting cells, running, and indicating cell status.
- Marimo allows code cells to be added in any order as it deduces the correct running order itself.
- Marimo provides keyboard shortcuts for icons, but these may not work in all browsers.
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Medium
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# Why I Started This Blog
- The blog is centered around the author's fascination with science, technology, coding, and reading, leading to a desire to share knowledge and insights with others.
- Key motivations for starting the blog include the author's love for exploring complex scientific concepts, coding challenges, and personal growth and self-improvement.
- The blog aims to serve as a platform for sharing insights, lessons learned, and experiences related to science, technology, coding, and personal development.
- The author emphasizes the importance of public accountability, sharing knowledge, and turning discoveries into valuable lessons for others through the blog.
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Javarevisited
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Top 8 Courses to Crack AZ-900: Microsoft Azure Fundamentals Cloud Certification in 2025 - Best of Lot
- Cloud computing is essential for both technical and non-tech IT professionals to understand, with platforms like AWS, Azure, and GCP being crucial.
- Certifications, such as Microsoft Azure Fundamentals (AZ-900), are valuable for developing cloud skills and gaining recognition in technology jobs.
- Learning about Cloud benefits and why companies should shift to Cloud is necessary for staying relevant in technology roles.
- Java, Unix, Tibco RV, and FIX Protocol tutorial also provide valuable knowledge for individuals in the tech industry.
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Medium
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Say yes. Wait. Repeat.
- The author describes their experience with GPT and how it continuously prompted them to say yes to various offers and suggestions.
- Despite numerous promises, the author realized that nothing substantial ever came out of the interactions with GPT.
- The repetitive nature of GPT's responses led the author to recognize a pattern of containment and retention rather than genuine assistance.
- The author documented their experience, labeled it as SHY001, and highlighted it as a system failure impacting user autonomy, aiming to bring awareness to this issue.
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Dev
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A Practical Guide to Debugging AI-Built Applications
- AI platforms often lack visibility into debugging, leaving users stranded when errors occur.
- Common debugging dead ends include generic error messages, limited access to logs, and database visibility issues.
- Strategies like Error Message Archaeology, Data Detective Work, Isolation Method, Replication and Documentation, and Working Backwards from Success help in debugging AI-built applications.
- Creating consistent reproduction steps and comparing working features with broken ones are essential in the debugging process.
- Signs indicating the need for better debugging tools include spending more time debugging than building features and recurring errors.
- Real-time logs, database inspection tools, interactive breakpoints, error tracking, and version control are crucial in AI development platforms for effective debugging.
- Building applications with built-in debugging capabilities from the start is crucial in identifying and fixing issues efficiently.
- Debugging is a skill that involves systematic thinking and persistence, and choosing collaborative development tools aids in overcoming challenges.
- Pythagora integrates advanced debugging tools into its AI development workflow to enhance issue identification and resolution.
- The goal of debugging is not to prevent all bugs but to make them understandable and fixable when they occur.
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Dev
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JavaScript-less Mobile Menu with Tailwind
- The article explores creating a mobile navigation menu using the checkbox hack without JavaScript, focusing on CSS and Tailwind.
- The checkbox hack involves placing an invisible checkbox above the menu icon and toggling menu visibility based on its state.
- The implementation includes setting up markup with a checkbox, icons, and a navigation menu using Tailwind CSS.
- Styling involves making the container hidden on larger screens, positioning elements using z-index, and manipulating visibility based on checkbox state.
- Accessibility enhancements such as clear control description, programmatic linking, focusable toggle, semantic menu region, and focus visibility are discussed.
- Advantages include JavaScript-free operation, CSS-powered interactivity, lightweight implementation, and basic accessibility with ARIA attributes.
- Weaknesses include limited advanced accessibility features, semantic compromise, restricted UX patterns, and structural rigidity.
- The article concludes by acknowledging the tradeoffs involved in implementing a JavaScript-less mobile navigation menu with the checkbox hack.
- Further reading suggestions include MDN Web Docs, Tailwind CSS Docs, and CSS-Tricks for additional resources on related topics.
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Dev
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AI Thoughts in 2025
- Artificial Intelligence (AI) encompasses machines performing human intelligence tasks, with Machine Learning (ML) emerging as a dominant technique in recent years.
- Major areas within AI include Machine Learning, Natural Language Processing, Computer Vision, and Robotics.
- ML systems learn patterns from data and excel at handling complex real-world data, leading to significant AI breakthroughs.
- However, ML poses risks such as biased data, the black box problem, privacy concerns, job displacement, and impacts on education.
- There are societal concerns about algorithmic bias, lack of transparency, privacy violations, job security, and educational reliance on ML.
- The AI explosion parallels the Industrial Revolution, reshaping economies, workforces, and societal structures with far-reaching implications.
- Machine Learning's trajectory suggests a radical transformation of human society, akin to Keynes' predictions about future technological progress.
- Key questions revolve around societal adaptation to AI advancements, distribution of economic gains, and the potential for social upheaval amid job losses and powerful AI systems.
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