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Securing User Data: Building a Responsive API with Node.js

This post discusses the importance of API security and focuses on building a secured API using Node.js.
The project emphasizes user authentication and rate limiting to protect the application from unauthorized access and abuse.
The project includes setting up the server with authentication and rate limiting and simulating a successful authentication scenario.
Future plans for the project include integrating JWT for more robust authentication and exploring user roles.

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Medium

351

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Building Composite Configuration Sources in Spring Boot

Spring Boot collects configuration values from various sources to customize behavior in different environments without changing code.
The Environment object in Spring Boot holds a list of sources like files, system variables, and startup arguments.
Configuration sources are converted into PropertySource objects and prioritized based on a predefined order.
Spring Boot processes configuration sources in a specific order, with command-line arguments taking precedence over other sources.
External configuration files can be loaded using parameters like spring.config.location or through environment variables.
Spring Boot uses loaders to convert application.yml or application.properties files into key-value pairs for easier access.
Property sources are scanned and loaded using property loaders implemented based on file types.
Spring Boot resolves property conflicts by following a 'first one wins' process, picking the first occurrence of a property.
Property lookup in Spring Boot is consistent across different sources, including YAML files, environment variables, and command-line flags.
Spring supports placeholder syntax for referencing properties within other properties, aiding in clean configuration.

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Javacodegeeks

294

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The Best VS Code Extensions for Multi-Language Development in 2025

1. Dev Containers (by Microsoft) - Best for teams working across Python, Node.js, Java, or C++ where dependency conflicts are common.
2. Nix & Devbox - Best for teams that need version-pinned dependencies across languages.
3. Dependabot (GitHub) & Renovate - Best for projects with frequent dependency changes or security-sensitive applications.
4. Bazel (by Google) - Best for monorepos with mixed C++, Java, Go, or TypeScript.

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Towards Data Science

275

Mining Rules from Data

Mining rules from data is a crucial part of working with products, involving the implementation of rules based on practical examples to address business problems like fraud detection, customer segmentation, and cost management.
Rules can be established based on factors like user behavior, transaction patterns, and customer profiles to make informed decisions without relying solely on complex machine learning models.
Implementing static rules can be beneficial in scenarios where speed, interpretability, and compliance are essential considerations, such as during fraud waves or cost optimization in transactional businesses.
The article dives deep into using Decision Tree Classifier to extract rules from data, covering topics like building the model, fitting it, extracting rules, and exploring categorical encoding options.
A practical example using the Bank Marketing dataset demonstrates the process of creating rules based on decision tree splits and interpreting the resulting segments for targeted business strategies.
Various functions and logic are defined to parse decision tree structures, extract rule conditions, and apply them to identify customer segments with higher conversion probabilities for targeted actions.
The article emphasizes the importance of testing heuristics on validation sets to validate their effectiveness before deployment, especially in decision-making processes where limited operational resources are involved.
Exploring high cardinality categories and techniques like count encoding, target encoding, and smoothing highlight the challenges and strategies for handling categorical variables effectively in rule-based decision-making.
By combining data-driven rules with practical business insights, businesses can make informed decisions efficiently, optimize resource allocation, and enhance customer interactions based on segmented targeting.
The article provides a comprehensive guide on mining rules from data, showcasing the power of simple heuristics in driving business decisions and the significance of continuously updating and refining rules for evolving data landscapes.
It's essential to strike a balance between simplicity, interpretability, and accuracy when leveraging rule-based decision-making approaches, ensuring that rules remain relevant and effective in guiding business actions.

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The Pragmatic Engineer

170

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The Philosophy of Software Design – with John Ousterhout

Stanford professor John Ousterhout discusses the importance of software design amidst advancing AI tools like Cursor, Windsurf, and Copilot in auto-completion and test generation.
Ousterhout argues that while AI is improving coding speed, software design will remain crucial as AI may not replace high-level design needs.
Key takeaways include the essential nature of software design as a decomposition process, the counter-productivity of Test-Driven Development (TDD), and the value of deep modules for managing complexity.
The episode delves into the differences between academia and industry, the impact of AI on software engineering, and the nuances of software design principles like error handling and empathy.
John Ousterhout's criticisms of TDD, the single-responsibility principle, and his preference for well-written comments are highlighted, along with his active contribution to the Linux kernel project.
Moreover, the episode covers John's teaching methodologies at Stanford, emphasizing feedback, revision, and substantial coding projects for students to enhance their software design skills.
Overall, the conversation focuses on the evolving role of software design in the context of advancing AI tools and emphasizes the ongoing importance of thoughtful design principles for successful software development.
For more in-depth insights, listeners are encouraged to explore John Ousterhout's book 'A Philosophy of Software Design', which delves into critical aspects of effective software design practices.
The episode also addresses John's disagreements with certain coding practices advocated by industry figures and his real-world engagement in contributing to the Linux kernel, showcasing the practical application of software design concepts.
John Ousterhout's approach to software design, his perspectives on error handling, empathy in design, and the value of upfront design considerations provide valuable insights into the intricacies and importance of robust software design practices.
From the impact of AI on software engineering to the practicality of design reviews and whiteboarding techniques, the episode offers diverse perspectives on enhancing software design skills and navigating complex codebases effectively.
Listeners are encouraged to explore the episode for a comprehensive understanding of the evolving landscape of software design, informed by John Ousterhout's wealth of experience and insights in the field.

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Dev

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🌱 New Feature: Beautiful Per-Command Help for the Greening CLI

One of the newest additions to the Greening CLI is intuitive, per-command help.
You can run 'greening --help' or 'greening help ' to get detailed help for a specific command.
The 'new' command scaffolds a new Python project using greening.yaml and provides various options.
The 'deploy' command deploys a documentation site using GitHub Pages and offers additional functionalities.

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1 Like

Medium

117

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5 Essential System Design Questions Every Developer Should Know — II

WebSockets - Pros and Cons
Periodic Polling - Pros and Cons
Recommendation for using WebSockets and polling
Challenges in implementing end-to-end encryption and ensuring low latency

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7 Likes

Medium

247

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What It’s Like to Launch a SaaS as an Unknown Indie Developer in 2025

The author, an indie developer, reflects on the challenges of standing out online without compromising privacy or values in the quest for financial independence.
Through personal projects and improving their online presence, the author aims to emulate successful indie developers with profitable products.
Challenges include avoiding shallow content for attention and building engagement authentically on platforms like Reddit and Twitter.
Participating in events like coding game jams and leveraging Twitter interactions have helped the author connect with industry professionals.
While LinkedIn offers a platform for job opportunities, the author found limited real interaction and decided not to promote personal projects there.
Initial attempts to validate personal projects by reaching out to streamers yielded mixed responses and highlighted the need for constructive feedback.
As the author navigates the competitive landscape, the debate between marketing strategy and product quality for indie developers persists.
With the rise of AI tools and quicker product development cycles, independent developers face challenges in gaining recognition and market share.
The author seeks ways to ensure recognition for indie developers and finds inspiration in projects like Fake Mayo that share entrepreneurial journeys.
By exploring projects of indie developers with modest followings, the author gains insights on organic launches and revenue generation strategies.

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14 Likes

Dev

251

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Why Converting PDFs to Images Is More Important Than You Think

Converting PDFs to images offers faster viewing on various devices.
Image formats have better compatibility across different platforms compared to PDFs.
Images are easier to edit, highlight, and annotate.
Converting PDFs to images increases security and prevents unauthorized editing or data scraping.

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15 Likes

Dev

255

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Utilizing Neon Serverless PostgresDB using .NET8 via Entity FrameworkCore + NpgSQL

This article explores integrating Neon Database in a .NET Console App using Entity Framework Core and NpgSQL, focusing on data access without SQL queries.
The tutorial covers creating database tables via Entity Framework migrations, connecting to the database, and utilizing LINQ queries.
Prerequisites include knowledge of C# .NET, C# LINQ statements, and Entity Framework.
Steps involve creating a new .NET Console Application in Visual Studio 2022 and installing necessary dependencies via Nuget Packages.
Key dependencies include Microsoft.EntityFrameworkCore, NpgSQL, Microsoft.Extensions.Configuration.Json, among others.
The process includes generating tables using EF Migrations, creating models, setting up appSettings.json with the connection string, and defining the AppDbContext.
Additional steps cover adding, updating, deleting data in the Neon Database table through C# .NET code.
Functions like adding bulk data, updating records, deleting records, and displaying data from the Neon Table are explained.
Overall, this tutorial provides a comprehensive guide on integrating Neon Database in a .NET environment for efficient data management.

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Medium

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Tariffs, Trade Wars, and the Future of AI: Is the Era of Open Source at Risk?

U.S. and China are imposing tariffs and export controls on AI-related technologies.
Trade tensions threaten the open-source AI collaboration model and may hinder international research teams.
AI is being used for tariff enforcement, but concerns about transparency and biases arise.
The trade war has implications for intellectual property and may lead to a more siloed approach to AI development.

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2 Likes

Medium

160

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Verified Human: The New Order of Artificial Intelligence

The emergence of non-binary identities challenges the traditional binary structure of human identity.
The main question now is not about gender identity, but about verifying humanity in the face of artificial intelligences that can imitate humans.
Biometric verification systems and advanced CAPTCHA forms are being used to distinguish between humans and non-humans.
The debate is shifting from gender to the philosophical question of what it means to be human in a world dominated by AI.

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9 Likes

Medium

160

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Getting started with Golang

Go is a language designed to address shortcomings in other languages, focusing on simplicity, fast compilation, and efficiency.
Go is widely used in backend development, distributed systems, and infrastructure tooling.
The Go team provides regular updates to the language, focusing on performance, usability, and developer experience.
Go's key advantages include compiled nature, efficient memory management, native concurrency support, and fast compilation.

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9 Likes

Medium

316

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Your Complete Roadmap to Selenium Testing with Python

This article serves as a comprehensive introduction to Selenium testing with Python, guiding users through the setup and execution of automation scripts.
Selenium is an open-source automation framework that facilitates web application automation across various browsers and platforms.
Installation steps for Python and Selenium are outlined, followed by setting up the PyCharm IDE for Python scripting.
Readers are guided on creating their first Python Selenium automation test, covering steps like opening a web page, locating web elements, and interacting with them.
Various strategies for locating web elements are discussed, such as finding elements by name, XPath, and CSS Selector.
Handling dynamically appearing web elements using implicit and explicit waits is explained, along with dealing with frames and windows.
PyTest, a Python testing framework, is introduced for writing and executing automation test scripts efficiently, with the added benefit of generating HTML reports.
Best practices for Selenium testing with Python are highlighted for developing a robust test automation framework.
Combining Selenium with Python provides a powerful solution for automating web tasks, with PyTest aiding in enhancing test efficiency.
By following the guidelines outlined in this article, users can effectively utilize Selenium with Python for automating repetitive web tasks.

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Logrocket

134

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Dealing with the challenges of the agile methodology in UX design

Waterfall methodology involves meticulous planning upfront, while agile allows for quick iterations and adaptability to changes.
Agile's fast-paced cycles restrict in-depth UX studies and may lead to imbalanced team dynamics.
Key challenges of agile in UX include reconciling long-term goals with short-term sprints and fitting UX timelines into agile cycles.
Communication gaps between designers and developers can hinder product experiences in agile environments.
Lack of documentation in agile may cause confusion and rework for teams, impacting product stability.
To address agile challenges in UX, separate discovery from delivery, implement lean UX principles, and conduct guerrilla usability testing.
Host design-led workshops to align teams early and define SMART design metrics for each sprint to track performance.
Utilize wireframes in agile teams to reduce biases, gather feedback efficiently, and speed up design processes.
Lean UX integrates minimal research with agile execution, emphasizing quick evaluations with wireframes and parallel workflows for optimal results.
Balancing agile and UX methodologies can lead to efficient product development without compromising user experience by embracing continuous discovery and cross-functional collaboration.

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