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Medium
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How Testing Became My Code’s Lifeline
- Testing code is crucial to respect users' experience, team's sanity, and future self.
- Well-named tests communicate critical business rules effectively.
- Structuring test logic using Given-When-Then pattern aids in readability.
- Test-Driven Development (TDD) methodology emphasizes writing failing tests first, then code to pass them.
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Medium
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390
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CSS Time Travel: Animate Historical UI States Like a Pro with @keyframes + State Machines
- CSS Time Travel is a new approach to handling animations that allows interfaces to move back in time through historical states.
- The technique uses CSS state machines, @keyframes, and class toggling to create directional, reversible, and context-aware transitions between UI states.
- It enables components to have unique animations for different states and to move both forward and backward in time while playing the correct animations each way.
- CSS Time Travel teaches developers to create logic-rich animations that behave like intelligent flows, making UIs feel more alive and responsive.
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Dev
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101
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🧾 Build Your Own Modern Resume Builder with HTML, Tailwind CSS & JavaScript
- A sleek, responsive Resume Builder has been created to help users craft professional resumes effortlessly, featuring 4 unique templates and a user-friendly interface.
- The Resume Builder incorporates HTML5, Tailwind CSS, and JavaScript for frontend development, html2pdf.js for PDF export, Google Fonts for typography, and is hosted on GitHub Pages.
- The motivation behind building this tool was to provide a simple, stylish, and open-source alternative to existing complex or paid resume builders, making it accessible for all users.
- Future plans for the Resume Builder include implementing dark mode, adding more templates, supporting multiple languages, integrating AI-powered resume suggestions, and developing backend functionality for save/edit options.
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Medium
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271
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How to Learn Programming: A Beginner’s Guide
- Identify your reason for learning programming by understanding your goal, whether it is for fun, app development, website construction, or employment.
- Choose a suitable programming language according to your purpose. For beginners, Python, JavaScript, and Scratch are recommended options for different fields.
- Start with one programming language instead of trying to learn multiple languages simultaneously to avoid confusion.
- Utilize user-friendly resources like FreeCodeCamp, Codecademy, and YouTube tutorials to begin your programming journey.
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Javarevisited
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386
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10 Git commands Every Developer Should Know/Learn
- Git is an essential skill for every programmer, especially beginners in the field of programming.
- Knowing Git is crucial for Computer Science graduates, Software Engineers, and students learning programming.
- This article focuses on 10 essential Git commands that every developer should learn.
- For more resources on learning Git, previous articles shared best free Git courses and places to learn Git.
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Marktechpost
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188
Meta AI Releases Llama Prompt Ops: A Python Toolkit for Prompt Optimization on Llama Models
- Meta AI has launched Llama Prompt Ops, a Python toolkit for prompt optimization on Llama models, aimed at enhancing prompt effectiveness for developers and researchers.
- Prompt optimization is essential for maximizing the performance of large language models, as prompts tailored for one model may not work well on another due to architectural differences.
- Llama Prompt Ops offers automated prompt transformations, enabling smoother cross-model prompt migration and facilitating better compatibility with Llama-based LLMs.
- The toolkit features a prompt transformation pipeline, support for multiple source models, robust test coverage, and clear documentation to aid developers in fine-tuning prompts for improved outputs.
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Self-Learning-Java
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367
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Javalin: Get the request attribute or compute it based on the context if absent
- The context#attributeOrCompute method allows getting an attribute or computing it based on the context if absent.
- To create a working application, you need to set up a Maven project named 'javalin-compute-attribute-demo' and update the pom.xml with the required dependencies.
- In the example provided, a Javalin application is created that demonstrates the usage of context attributes and the attributeOrCompute method to compute values based on the context.
- By running the application and testing the API endpoint '/attributes-demo', you can see the computed attribute values returned in JSON format.
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Self-Learning-Java
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How to write better prompts?
- LLM models, like OpenAI's ChatGPT, rely heavily on well-written prompts for accurate responses.
- Crafting effective prompts involves iterating, evaluating, and templatizing queries.
- Quality prompts lead to better AI model output, saving time and improving results.
- Iteration is key: start simple, test the output, refine, and iterate further for specificity.
- By refining prompts iteratively, you can achieve accurate and relevant responses.
- A prompt template example for generating SQL queries is provided, emphasizing metadata and user instructions.
- An example prompt involving generating a BigQuery SQL query based on metadata and user requirements is demonstrated.
- The sample prompt leads to the generation of a specific SQL query for calculating total deposits of yesterday.
- Submitting the prompt to LLM resulted in a BigQuery SQL query for total deposits of yesterday.
- Crafting precise prompts is essential for AI models to provide contextually appropriate responses.
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Self-Learning-Java
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445
Why LLMs Aren’t Fully Deterministic?
- LLMs like ChatGPT are considered stochastic due to their probabilistic nature.
- LLMs are not fully deterministic because they use probabilities to generate responses based on learned patterns.
- LLMs predict the next word based on probabilities, leading to variations in output even with the same input.
- Stochasticity in LLMs allows for creativity and adaptability in generating varied responses.
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Dev
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5.6k
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Practicing Vibe Coding with Cursor
- Practicing vibe coding with Cursor involves providing precise requirements to AI for accurate implementation.
- Finding the right balance in describing requirements is crucial - detailed enough for AI to deliver, yet natural and human-friendly.
- Creating a devdocs directory with feature breakdowns and letting AI implement each feature based on these descriptions is recommended.
- Maintaining a record of vibe coding conversations in files allows for tracking requirements evolution and corresponding implementations.
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Dev
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HTMX Best Practices: Building Responsive Web Apps Without JavaScript Frameworks
- HTMX is a library that enables interactive web applications without heavy JavaScript frameworks, simplifying the client-side code and enhancing user experience.
- Best practices for working with HTMX involve setting it up, structuring HTML, avoiding complex loops, optimizing performance, and handling errors gracefully.
- To start with HTMX, include the library script, then use attributes like hx-get and hx-post to define dynamic behaviors in HTML elements.
- Dynamic content rendering without for loops can be achieved by processing data server-side and returning HTML fragments to be displayed using HTMX.
- Optimizing performance with HTMX includes minimizing requests, implementing caching, and debouncing requests to improve app efficiency.
- HTMX simplifies error handling by allowing the specification of actions for different events like responseError, providing a graceful user experience.
- HTMX offers simple integration, improved performance with server-side rendering, and avoids the complexity of full client-side frameworks.
- However, HTMX may have limited interactivity compared to comprehensive JavaScript frameworks and requires careful server-side logic for dynamic content.
- By following HTMX best practices, developers can build modern, responsive web apps with minimal effort and clean, straightforward implementations.
- Handling dynamic content on the server side and sending HTML fragments directly to the client can maintain application cleanliness and support platforms like DEV.to.
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Python Blogs
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Best Laptops for Programming in 2025
- Choosing the right laptop for programming in 2025 is crucial due to technological advancements and specialized development environments.
- Key features to prioritize in a programming laptop include a powerful CPU, at least 16GB of RAM, a Solid State Drive (SSD), high-resolution display, and long battery life.
- Top programming laptops for 2025 include Apple MacBook Pro 16′′, Lenovo ThinkPad X1 Carbon Gen 12, Framework Laptop 16, Dell XPS 15 (2025 Edition), and Asus ROG Zephyrus G14.
- The choice of the best laptop depends on individual preferences, with options catering to macOS, Windows, Linux users, and flexibility for future-proofing development work.
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Dev
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404
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Kotlin vs Java: Which is Better for Android Development?
- Android developers are debating whether Kotlin or Java is better for Android development, with Kotlin being Google's preferred language.
- Java is a traditional choice with a vast ecosystem, while Kotlin is a modern alternative known for its concise syntax and null safety.
- Kotlin reduces verbosity, enforces null safety, and offers features like extension functions, making it a more efficient choice for Android development.
- Kotlin's strong support from Google, modern features, and improved performance make it the preferred language for new Android projects, while Java remains relevant for legacy apps.
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24 Likes
Medium
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156
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LangGraph + Graphiti + Long Term Memory = Powerful Agentic Memory
- RAG project encounters limitations with static knowledge bases hindering the system's adaptability to new or changing information.
- RAG systems depend on fixed knowledge bases that do not update based on new user interactions, leading to outdated responses when information changes.
- Challenges arise in RAG systems when users present unfamiliar questions or inputs, causing the system to lack appropriate information or provide outdated data.
- Similar to discrepancies between Cypher and SQL in data structures, translating user input into relevant responses in RAG systems can be complex due to knowledge base limitations.
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Dev
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22
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How to install PostgreSQL on macOS: Step-by-Step Instructions
- To install PostgreSQL on macOS, you can use Homebrew which is recommended.
- Start by installing Homebrew if you haven’t already, then install PostgreSQL and start the PostgreSQL service.
- After installing, initialize the database if needed and verify the installation using psql --version.
- You can create a new database and user using PostgreSQL CLI and browse PostgreSQL data using psql CLI or GUI Clients like DBeaver, pgAdmin, or TablePlus.
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