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🧠 You Fixed the Bug… So Why Do You Feel Nothing?

Developers often feel an emptiness even after successfully fixing a bug.
Reasons for feeling nothing post bug fix include mental fatigue, lack of feedback, immediate focus on the next task, and self-blame for taking too long.
Fixing a bug involves more than code - it's about clarifying chaos, untangling logic, and healing a broken part.
Suggestions to feel proud after bug fixes include reflecting on efforts, maintaining a bug log to track progress, and sharing successes with peers.
Every bug fix, no matter how small, deserves recognition and celebration.

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PlanetPython

296

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Talk Python to Me: #510: 10 Polars Tools and Techniques To Level Up Your Data Science

Christopher Trudeau shares 10 great tools and libraries to enhance your Polars game.
Polars offers benefits over Pandas, with added features like Patito for data validation and polars_encryption for AES encryption.
Patito combines Pydantic and Polars for data validation, enhancing data processing capabilities.
Other tools like polars_iptools and polars-fuzzy-match offer additional functionalities for data manipulation.
New Polars course available to further enhance skills in data science and data processing.
Episode sponsors include Agntcy, Sentry Error Monitoring, and Talk Python Courses.

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Dev

145

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June 12: A Landing Page Tribute to Nigerian Democracy

A developer created a tribute landing page titled 'June 12 & The Fight to Be Heard' to commemorate Nigeria's Democracy Day on June 12th.
The project connects the 1993 election, symbolizing democratic promise, with the modern #EndSARS movement, portraying a continuous fight for justice and citizens' voices to be heard.
The landing page guides users through this narrative, highlighting hope, resistance, and the contemporary echoes of past struggles.
The project was a personal and poignant journey for the developer, aiming to tell an important story through design and code.
React and Vite were chosen for development, with Tailwind CSS for styling, focusing on the Nigerian flag's colors and Framer Motion for animations like the vertical timeline.
The developer emphasized the importance of typography in conveying tone, using different fonts for titles and dates.
Future plans include adding a 'Stories' section for user submissions related to activism and democracy and including more educational links and resources.
The project serves as a tribute to the resilience of the Nigerian spirit in the face of challenges.

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Medium

392

Best Internet Speed Testers in 2025 (Ranked by real-world usefulness)

Fast.com by Netflix provides instant download speed results for users wanting to know if they can stream movies smoothly.
Google Speed Test offers quick and clean speed test results by simply searching 'speed test' on Google.
SpeedOf.Me is known for its lightweight nature and accurate results even on weaker networks, functioning smoothly across browsers.
TestMy.net provides a detailed analysis of connection performance over time, suitable for users interested in in-depth network behavior.
Cloudflare Speed Test prioritizes privacy, offering fast and straightforward speed testing without data collection, showcasing connection stability.
Xfinity Speed Test, created by Comcast, is reliable and user-friendly, ideal for Xfinity users in the US.
Openspeedtest.com is a minimalistic platform that works on all devices without Flash or Java, displaying basic metrics clearly.
nPerf is a comprehensive tester that not only examines speed but also browsing and streaming performance, catering to advanced users with detailed metrics.

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Dev

247

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A Practical Guide to Testing Custom React Routers

The article discusses the importance of automated testing for custom React routers in larger projects to ensure reliability and facilitate development.
It emphasizes the benefits of automated tests in reducing uncertainties and catching regressions, providing examples of testing scenarios for the router hook, RouterLink, and RouterRoot components.
The article includes details on setting up the testing environment using vitest and Testing Library, along with examples of testing functions within the custom router.
Testing the Router Hook involves verifying path updates, multiple instances' behavior, and cleanup upon unmount to ensure proper functionality.
Testing the RouterLink component focuses on testing clickable navigation functionality, while testing the RouterRoot component covers loading states and content rendering.
Overall, the article highlights the importance of testing custom React routers for reliability, confidence in code, and faster development iterations.
It also discusses limitations such as the lack of end-to-end testing, reliance on mocks with associated trade-offs, and the absence of performance testing for larger applications.
The conclusion emphasizes the significance of effective testing in building code confidence and invites feedback or suggestions for further improvement.

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Dev

173

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What Performance Really Means in Modern Storefronts (It is Not Just API Speed)

Frontend performance in modern storefronts involves more than just API speed.
Issues often arise post-data arrival such as bloated JS, hydration delays, redundant render logic, and overfetching.
Hydration is a significant bottleneck, especially in setups like Hydrogen and Adobe PWA Studio.
Reducing client-side JavaScript and optimizing component loading can improve performance.
Server-side rendering speed depends on strategic caching, considering personalization rules and variant logic.
Observability through logging and data collection is crucial for identifying performance issues.
The focus is on creating not just fast-loading but predictable storefronts.

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Nordicapis

354

10 API Gateways That Support MCP

Model Context Protocol (MCP) enables AI tools like large language models to connect to custom data sources and interact with external tools and APIs, making it crucial for agentic AI.
The rise in MCP's popularity has led to a demand for API gateways that support MCP to facilitate testing new environments, formatting responses, and enhancing API security.
Azure API Management is a top choice for enterprise AI deployments within the Microsoft stack, offering tight Azure integration and compliance.
APIPark, an open-source gateway, is ideal for lightweight AI apps and prototyping, with simple setup and flexible REST proxying.
Apache APISix offers extensible K8s-native LLM routing with Lua plugins and WebAssembly for AI-centric extensions, making it suitable for dynamic routing.
Kong Konnect is suited for high-scale AI platforms, featuring federated APIs and a rich plugin ecosystem for scalable deployments.
Multiple gateways like Solo.io's Agent Gateway, Moesif, WunderGraph MCP Server, Tyk API Gateway, and Gravitee.io Agent Mesh provide strong support for AI-driven workflows and management.
API gateways like Moesif provide detailed analytics for observing MCP interactions, offering insights for monitoring and enhancing AI API flows.
Overall, combining API gateways with MCP enhances security and customizability, serving as a bridge between traditional API ecosystems and AI-driven tools for autonomous AI.
Each gateway, like Azure API Management, Apache APISix, Kong Konnect, APIPark, and others, caters to specific needs based on scalability, AI orchestration, analytics, and frontend support.

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Javacodegeeks

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Prompt Engineering for Developers: Building Reliable LLM Chains

Chaining multiple prompts (LLM Chains) in AI-driven applications enhances reliability, accuracy, and functionality by structuring prompts effectively.
LLM Chains involve sequences of prompts where the output of one prompt feeds into another, breaking down complex tasks into manageable steps.
Tactics for reliable chaining include sequential chains, conditional logic, and self-correction mechanisms to ensure better control and error handling.
Real-world examples include a Twitter thread generator and YouTube video analysis demonstrating the application of chained prompts in automation and summarization.
Evaluating and debugging chains can be achieved through logging intermediate outputs, human-in-the-loop validation, and A/B testing different chains for reliability.
Key takeaways emphasize modularizing tasks, using conditional logic, employing self-correcting chains, and evaluating outputs at each step for building robust AI applications.

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Medium

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STOP Using .component.ts: Angular 20’s New Naming Rules Will Surprise You

Angular 20 introduces updated recommendations for file naming, emphasizing shorter, purpose-driven names.
The new approach suggests role-based file naming using terms like *-store.ts, *-api.ts, or *-client.ts.
Angular 20 promotes domain-driven design over flat folder structures, organizing code by business concern.
Domain-specific folders are suggested for better autonomy, testability, and separation of concerns.
The shared folder in Angular 20 contains reusable components and utilities with no business logic.
Standalone components are favored over modules in Angular 20 for simplicity and direct bootstrapping.
Angular 20 aims for cleaner, smarter architecture to make codebases easier to scale, read, and onboard.
Future articles will cover more aspects of Angular 20, with the writer encouraging readers to follow for updates.

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Dev

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🎨 Mastering the Basics of CSS: A Beginner-Friendly Guide ~ devsync.in

CSS, or Cascading Style Sheets, is essential for styling HTML elements on a webpage.
CSS adds colors, spacing, layouts, and animations to the structure provided by HTML.
CSS syntax involves selectors, properties, and values.
There are three ways to add CSS: inline, internal, and external; external linking is the best practice.
Understanding the CSS Box Model is crucial, consisting of content, padding, border, and margin.
Applying 'box-sizing: border-box;' in CSS resets makes layout calculations easier.
Learning CSS with a solid foundation and experimenting leads to creating visually appealing web pages.

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Dev

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ASP.NET vs .NET – What’s the Difference, and When Should You Use Each?

Microsoft development ecosystem involves both .NET and ASP.NET, each serving different purposes.
.NET is a platform by Microsoft for building various applications using languages like C#, F#, and VB.NET.
ASP.NET is a web-specific framework built on top of .NET for creating websites, web apps, and APIs.
ASP.NET offers server-side tools, UI options like Razor and Blazor, MVC architecture, and RESTful API support.
ASP.NET Core is the modern cross-platform version, optimized for cloud-based applications.
Key difference: .NET is the overarching platform, while ASP.NET is tailored for web development.
Use ASP.NET for web applications or APIs and .NET for desktop, mobile, or background services.
For cross-platform compatibility, opt for .NET 5+ and ASP.NET Core over legacy frameworks.
Understanding the distinction helps in selecting the appropriate tools for the project.
.NET ecosystem is versatile, swift, and suitable for projects of any scale, from small tools to enterprise apps.
ChampSoft specializes in leveraging .NET technologies for scalable and secure solutions.
ChampSoft offers further insights on .NET and technology trends in their blog.

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Medium

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How ActlysAI is Unlocking the No-Code AI Revolution

ActlysAI is a no-code AI agent platform designed for creators, entrepreneurs, and teams to automate tasks and build intelligent digital experiences quickly.
Users can build autonomous AI agents without worrying about APIs or models by describing what they want, configuring logic in a user-friendly visual builder, and deploying.
Real-world use cases include customer support assistants, research assistants, content automation, and workflow integrators.
No-code AI platforms like ActlysAI provide faster iteration cycles, wider accessibility for non-technical users, lower development costs, and more creative experimentation.
No-code AI is seen as a democratizing force, empowering marketers, founders, designers, and educators with innovation capabilities.
ActlysAI facilitates the creation of AI agents and automation processes, aiming to make agent-powered AI more accessible and scalable.

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Medium

337

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How I’m Learning Software Development with Just YouTube (No Degree, No Bootcamp, No Udemy)

The author shares their experience of learning software development using free resources on YouTube.
They found full-stack roadmaps, project-based lessons, and crash courses from professional developers.
Emphasizes that in the digital age, effort matters more than the source of learning.
Highlights that people are hired based on their ability to build real projects rather than formal education.
Stresses the importance of discipline and determination in self-learning.
Mentions that a degree or expensive courses are not necessary; consistency and passion are key.
The author's own progress in software development has been achieved solely through YouTube tutorials.
Provides advice to beginners to find a roadmap, break it down, use YouTube for learning, build projects, and stay committed.
Encourages starting the learning journey without having all the details figured out.
Concludes by stating that success in achieving goals is dependent on the effort put in.
The article ends with a call to action to follow the author on a specified platform.

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Medium

298

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Python Dictionaries: From Basics to Nested — Your Complete Guide

Python dictionaries are labeled containers in Python where each data piece has a unique key.
Dictionaries allow accessing data using meaningful labels instead of positions like in lists.
Creating a dictionary in Python involves using curly braces {} and key-value pairs.
Keys in dictionaries must be immutable, but the values can be any data type like lists or other dictionaries.
The .get() method in dictionaries is useful as it won't throw an error if the key doesn't exist.
Dictionary methods like .keys(), .values(), and .items() are handy for different operations.
Dictionary comprehensions are similar to list comprehensions and allow creating dictionaries in a single line.
Looping through dictionaries can be done using for loops and methods like .items() for key-value pairs.
Nested dictionaries are powerful for organizing complex and hierarchical data structures.
Working with dictionaries is essential in Python for data storage and organization.
Start with basic dictionary operations and progress to nested structures as projects become more complex.
Practice using dictionaries by building small projects like contact managers or inventory systems.
Dive into dictionary operations gradually to make them second nature for coding tasks.
Python dictionaries are fundamental for almost every project due to their versatility and data organization capabilities.
Build projects like contact managers or inventory systems to strengthen your proficiency in dictionary usage.
For questions about dictionaries or Python, reach out to the author for coding skill assistance and guidance.

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Dev

396

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I Was Frustrated Converting CSS to Tailwind — So I Built My Own Tool

A developer frustrated with manually converting CSS to Tailwind CSS built a tool called StyleShift to simplify the process.
StyleShift is an easy-to-use tool that quickly converts regular CSS code into clean, responsive Tailwind classes.
The tool understands common CSS styles, maintains selectors, and produces simple Tailwind code for immediate use.
Key features of StyleShift include instant conversion, local saving of converted code, user-friendly interface, Tailwind-ready output, and it is completely free to use.
Users can paste their CSS into the input area, copy the converted Tailwind classes, and directly use them in their projects.
The developer built StyleShift to streamline the conversion process, ease the adoption of Tailwind CSS, and keep resulting code clean and maintainable.
The tool helped the developer save time and focus on building components, aiming to assist others in a similar manner.
For those looking to transition from CSS to Tailwind efficiently, StyleShift offers a solution to ease the process.

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