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Programming News
Medium
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A Harvard-MIT Riddle That Broke Brains at HMMT 2025
- The Harvard-MIT riddle at HMMT 2025 involves solving a complex mathematical problem.
- To find the sum of the prime factors of (9⁹ - 8⁸)/1001 without a calculator, clever manipulations are required.
- The key is to factorize the expression and then add up the prime factors to solve the riddle.
- By breaking down the numerator and denominator into prime factors, the problem can be approached systematically for a solution.
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Javacodegeeks
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209
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JSTL forEach Index Values Example
- JSTL
- To capture the index of each element, varStatus attribute is used in conjunction with
- A CategoryServlet is created to set a list of categories in HttpServletRequest and forward the request to JSP.
- In the JSP page,
- The JavaScript function getCategoryIndex(index) alerts the index of the clicked category.
- Special properties like index, count, first, last, and size are accessed using varStatus in
- By deploying the application and accessing the /categories URL, the categories list is displayed.
- Clicking on a category link triggers the JavaScript function displaying the index of the clicked category.
- This approach of using JSTL forEach index values improves client-side interaction based on element indexes.
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Dev
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245
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Migrating from Jenkins to GitHub Actions/GitLab CI: A Stress-Free Step-by-Step Guide 🚀
- Migrating from Jenkins to GitHub Actions/GitLab CI simplifies setup, offers native integration with code repositories, and provides cost efficiency.
- The migration process involves auditing Jenkins pipelines, converting jobs to YAML format, replacing Jenkins plugins with GitHub Actions/GitLab CI equivalents, migrating secrets and variables, testing and iterating on new workflows, and eventually decommissioning Jenkins.
- Common pitfalls in migration include slow pipelines, permission errors, and legacy scripts breaking, with corresponding fixes provided for each issue.
- A post-migration checklist includes updating documentation, training teams on new CI/CD syntax, and setting up monitoring tools, emphasizing the benefits of embracing the modern CI/CD era for improved efficiency and scalability.
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Dev
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400
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Behind the Build: Engineering an AI-Powered Digital Banking SuperApp Using React Micro-Apps
- PrimeSoft developed a modular Digital Banking SuperApp that combines payments, lending, investments, and everyday banking in a unified experience using ReactJS, React Native, and AI-driven personalization.
- Key features of the platform include hyper-personalization, instant service deployments, enterprise-grade security, smarter engagement, seamless integration, and AI-powered chatbots.
- The platform's Micro-App architecture enables code reusability, faster release cycles, independent builds, high security, and AI-driven engagement with smart prompts.
- PrimeSoft is focused on refining real-time features, offline-first capabilities, and enhancing AI workflows. They are open to discussing micro-frontend architectures, code reuse challenges, and potential collaborations in the comments or through direct messages.
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Dev
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86
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How to Filter ComboBox Items Based on Another ComboBox Selection in JavaScript?
- Filtering the content of a ComboBox based on another ComboBox's selected value can be a common requirement in SAP UI5 applications, providing a dynamic selection experience for users.
- Issues related to control hierarchy and scope can arise when attempting to filter ComboBox items in a data-bound list structure, requiring careful management of control IDs.
- To filter ComboBox items effectively, access the correct parent control, ensure the binding patterns are set up correctly, attach event handlers appropriately, and use debugging strategies if needed.
- By following the step-by-step solution provided, you can enhance user experience by dynamically filtering ComboBox items based on another ComboBox's selection, creating a smoother UI experience.
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Logrocket
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359
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Building multi-region infrastructure with AWS
- The article discusses building a multi-region web application using AWS to reduce latency and increase reliability by distributing resources closer to users.
- It starts with hosting the frontend on AWS S3, creating separate buckets for different regions like us-east-1 and eu-central-1.
- The frontend is served using CloudFront, AWS's CDN service, which caches content and improves load times for users.
- Route 53 is used for DNS configuration and geolocation routing to direct users to the correct CloudFront distribution based on their location.
- For the backend, AWS Lambda with API Gateway is employed, allowing serverless execution of code in response to API calls.
- Lambda functions are region-specific and need to be duplicated to support a multi-region architecture.
- API Gateway is used to create REST APIs with region-specific URLs and API Keys for security and control of usage.
- The article suggests using Cloud Development Kit (CDK) to automate infrastructure deployment and management, making processes more efficient.
- By combining S3, CloudFront, Route 53, Lambda, and API Gateway, businesses can serve content closer to users, improve performance, and ensure high availability.
- Multi-region setups are crucial for global businesses, and automation with CDK can help scale and maintain complex infrastructures effectively.
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RealPython
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400
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Working With Missing Data in Polars
- Efficiently handling missing data in Polars is crucial for maintaining clean datasets during analysis.
- Polars offers tools to identify, replace, and eliminate null values, ensuring smooth data processing.
- The video course demonstrates practical methods for managing missing data and showcases Polars' features to optimize data analysis workflows.
- Key takeaways include using LazyFrames and DataFrames in Polars, checking for null values with .null_count(), handling NaN and null representations, replacing NaN with nulls using .fill_null(), and addressing missing data through identification, replacement, or removal of null values.
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Johndcook
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423
Decimal Separator and Internationalization
- When reporting numbers, it is suggested not to use three digits after the decimal point to avoid confusion with the thousands separator.
- In software development, it is recommended to use libraries to handle numeric input and output according to local conventions to prevent errors.
- An incident in 2006 during a course on Bayesian clinical trial design in Bordeaux highlighted the issue of decimal separator differences between the US and France causing software problems.
- The solution in the mentioned incident was for attendees to set their operating system locale to the US to overcome the issue of conflicting decimal notation formats.
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Medium
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409
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State Machine Generation in Rust’s async/await
- Rust's async/await feature is a significant addition offering a synchronous-looking syntax for writing efficient asynchronous code.
- Understanding how the Rust compiler transforms async functions into state machines can help in writing efficient async code and debugging complex issues.
- State machines play a crucial role in Rust's async operations, and this article explores the transformation process with practical examples and performance implications.
- A state machine is a computational model foundational in async operations like Rust, defining states and transitions for effective code execution.
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Medium
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364
Why Java Still Forces You to Write Functions Inside a Class — and What That Says About Its Broken…
- Java was designed for corporations and control, not individual developers, leading to the requirement of writing functions inside a class since 1995.
- The necessity of placing every utility function within a class in Java is based on the 'everything is an object' philosophy of OOP, which has become outdated with the evolution of UIs, APIs, microservices, and mobile apps.
- Kotlin introduced top-level functions, null safety, extension functions, and coroutines, providing more flexibility and modern features that Java lacks.
- Java's reluctance to adapt and evolve restricts developers and prevents the language from keeping up with the changing demands of software development.
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Dev
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400
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How Async/Await Evolved from Generator-Based Coroutines
- Python's async journey evolved from using generators as a fundamental feature before async/await made asynchronous programming smoother.
- Generators were key in introducing the concept of pausing functions with yield, allowing lazy computation and two-way interactions.
- Building on generators, coroutines emerged, enabling functions to pause, wait for input, and resume, leading to scenarios like chatbot interactions.
- Event loops came into play for managing multiple coroutines automatically, initially using generator-based coroutines before getting complex with yields.
- Python 3.3 introduced yield from to chain generators and compose coroutines, improving the readability and composition of event loop code.
- Python 3.4 brought asyncio, offering an official event loop and @asyncio.coroutine decorator, setting the stage for async/await syntax in Python 3.5.
- Python 3.5 introduced async and await keywords, making coroutine functions clearer and more intuitive, simplifying async operation handling.
- Despite using async/await syntax, Python still leverages generator machinery, with coroutine objects acting as paused functions for tools like asyncio.
- The evolution from generators to async/await showcases Python's incremental improvements and thoughtful steps in enhancing language features.
- Understanding this journey aids in appreciating and debugging async code, emphasizing the significance of earlier concepts like yield.
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Medium
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100
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Simple Library HTTP REST API App in Go
- Blog post detailing the creation of a simple HTTP REST API application in Go with Gin as the HTTP framework.
- The application is designed to manage books in a library, offering functionalities for create, read, update, and delete operations.
- Testing for this application is primarily conducted using unit testing with the libraries testify and testify/mock.
- The application structure includes components like entity, repository, service, handler, and main with endpoints for various CRUD operations on books.
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Medium
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82
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How To Rewrite Class Components to Functional Components in React
- In class components, state is declared and updated using this.state and this.setState. In functional components, state can be managed using the useState hook.
- Class components use lifecycle methods like componentDidMount and componentWillUnmount for side effects. The equivalent in functional components is useEffect hook.
- In class components, methods are often bound to 'this' or class fields, whereas in functional components, functions are defined within the component scope, eliminating the need for binding.
- Functional components receive props as function arguments, while class components access props through this.props.
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Medium
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400
How I build and launch apps with AI, fast.
- When building and launching apps with AI, focus on documentation like PRD, UX, MVP Concept, Test Plan, and v0.dev Design.
- Consider using no-code options if coding basics are unknown, but with a computer science degree, venturing into coding might be less risky.
- Choose a technical stack based on your product needs and familiarize yourself with key aspects like javascript for frameworks or SQL for databases.
- Whether coding or using no-code solutions, leverage tools like Cursor for assistance, but be cautious of LLM knowledge cutoffs and review AI-generated code.
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Technically Dev
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87
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How can AI use websites?
- AI models use web browsers to navigate the internet, but browsing the web is complex due to the non-deterministic nature of websites.
- Browserbase develops software for AI models to browse the web effectively, overcoming challenges like website changes and security concerns.
- Tools like Selenium work well for specific sites but are not suitable as a base layer for AI models needing to browse any site.
- Browserbase focuses on creating a headless browser tailored for AI models, eliminating unnecessary graphic elements and providing control through automation frameworks.
- Open Operator, a browser for AI models, was introduced by Browserbase as an open-source alternative to proprietary solutions like Operator from OpenAI.
- Open Operator is powered by Vercel and allows users to browse the web using AI, with the ability to switch between different AI models conveniently.
- Using Vercel's AI SDK, Browserbase developed Open Operator swiftly and efficiently, leveraging tools like v0 for UI design.
- The Browserbase team utilized Vercel's infrastructure for hosting Open Operator, ensuring smooth functionality and proper security measures.
- Positive reception for Open Operator has been noted, with GitHub stars and mentions on platforms like YouTube, showcasing its success without extensive marketing efforts.
- The development process of Open Operator demonstrates the collaboration between AI technology and web infrastructure to enhance browsing capabilities for AI models.
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