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How to setup the Nuxt starter template on Appwrite Sites

Appwrite Sites simplifies web application deployment, hosting, and scaling.
Nuxt starter template offered by Appwrite includes a clean UI and SDK integration.
To deploy the Nuxt starter template on Appwrite, you can use the Appwrite console or CLI.
After successful deployment, you can access the site and manage configurations through the Appwrite dashboard.

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Medium

234

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My Amazing Adventures with Liferay Portal: From Fascination… to Disenchantment

The author shares their journey of working with Liferay Portal from fascination to disenchantment.
Initially unfamiliar with Liferay Portal, the author had to learn to use and develop with it for a project managing franchises in Spain.
Despite challenges in installation and limited documentation, the author found Liferay Portal to be an excellent tool for developing applications.
The author worked on various projects using Liferay Portal, benefitted from version updates, and provided training on the tool.
However, Liferay Portal's architectural changes led to relearning the tool and increasing dependencies, causing difficulties for the community.
The author decided to no longer provide professional services on Liferay Portal due to constant changes, uncertainties, and the neglect of the supporting community.
While the author will continue using the tool for personal projects, they express frustration with the current state of Liferay Portal and its impact on professional endeavors.
The article concludes with an offer of free courses with certificates and affiliate links to support the author's work.

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Medium

117

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Exploring libp2p with Golang

Libp2p is a modular system of protocols, specifications, and libraries that simplifies peer-to-peer communication.
It was developed by Protocol Labs to facilitate peer-to-peer applications, allowing nodes to act as clients and servers.
Libp2p simplifies connecting nodes, discovering peers, secure communication, multiplexing streams, and managing transport protocols.
Decentralization is important as it enables direct communication between nodes, resource sharing, and routing data without centralized servers.

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Javarevisited

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Top 10 Tools Data Scientists and Machine Learning Developer Should Learn in 2025

Tools and libraries play a crucial role in enhancing the efficiency of Data Scientists and Machine Learning developers.
Data Science and Machine Learning require powerful tools for tasks such as data normalization, cleaning, visualization, and model building.
In 2025, essential tools for Data Scientists and Machine Learning developers are being highlighted as crucial for dealing with large datasets effectively.
Previous essential tools recommendations for Software developers, Java developers, Python developers, and Web Developers have been shared, emphasizing the importance of having the right tools in various fields.

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Logrocket

414

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How to build a secure file upload system in Astro

In Astro, a secure file upload system can be built by integrating with a headless Digital Asset Manager like Cloudinary for managing media assets such as images and videos.
A DAM offers centralized media management through APIs, making it suitable for Astro's component-based architecture.
The tutorial covers setting up an Astro project, integrating dependencies like Tailwind CSS and React, configuring a database using Astro DB, and seeding initial data.
Components and layouts are implemented in Astro using React and Svelte, emphasizing reusable UI structures for consistent design across multiple pages.
Product showcase features like slideshows and list views are created to display products and associated media in a visually appealing manner.
Secure file upload is implemented using Cloudinary's SDKs, facilitating file uploads from the client to the server, and storing media URLs in the ProductMedia table.
The tutorial covers uploading media files to Cloudinary, handling form submissions, dynamic routing for product updates, server actions for fetching and updating product data, and deleting media files from Cloudinary.
Drag-and-drop file upload interfaces, form validations, and integration of Cloudinary credentials in the app for secure file uploads are crucial aspects of building a secure file upload system in Astro.
Overall, the tutorial emphasizes the use of Astro's capabilities along with external services like Cloudinary to create a robust and secure file upload system to enhance user experience in web applications.

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Logrocket

153

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Why no one reads your product docs, and how to fix it

People often don't read product documentation not because they're lazy, but because it's not user-centric and well-designed.
Product documentation, when treated as internal products, can align teams and streamline processes effectively.
Common documentation failures include overgeneralization, overengineering, and oversharing, leading to unreadable content.
One-size-fits-all documents fail to engage readers effectively, leading to fragmented reading experiences.
Effective documentation should cater to multiple audiences with varying roles and responsibilities.
Modern documentation approaches include narrative specs, decision docs, and living wikis that are contextual and actionable.
Tools like Notion, Coda, and Confluence can enhance documentation clarity if used intentionally.
Tactical strategies to improve documentation readability include doc kickoffs, documentation sprints, and comment rituals.
Templates like LogRocket's PRD template, Good Docs project templates, and Stripe API docs can help structure documentation effectively.
Good documentation boosts onboarding, decision-making, and project efficiency, emphasizing the importance of user-centric design.

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Dev

184

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CORS : The Browser Bouncers Explained

Cross-Origin Resource Sharing (CORS) acts as a security measure for internet systems, functioning like a bouncer at the browser's gate to control access for requests from different origins.
The Same-Origin Policy (SOP) is a crucial security rule that limits interactions between sites to prevent unauthorized data access across different origins.
SOP restricts websites from reading data from other origins, ensuring data protection unless the origins are the same.
CORS allows servers to specify which origins can access their resources, serving as a permission slip for browsers to share data across different origins.
The process of CORS involves the browser sending an Origin header in the request, which the server checks against its allowed list before granting access.
CORS requests follow either a simple flow for basic requests or a preflighted flow for more complex requests that require additional verification.
Handling CORS effectively involves whitelisting origins, validating requests, and setting proper headers to ensure secure cross-origin communication.
Misconceptions about CORS include its distinction from authentication or authorization, its role in protecting browsers rather than servers, and its relevance to non-browser clients.
Understanding CORS is essential for backend developers to maintain secure systems and facilitate smooth cross-origin sharing of data.
By implementing CORS best practices, such as proper validation, header settings, and preflight handling, developers can ensure secure communication between different origins.

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Dev

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Lofty AI Like Platform Development: A Complete Guide to Building a Fractional Real Estate Investment App

Lofty AI has revolutionized real estate investment by allowing users to invest in property through fractional ownership.
Tokenized ownership on platforms like Lofty AI provides investors with daily rental income, secure transactions, and liquidity.
Key features needed for real estate investment platforms include fractional ownership, smart contracts, user dashboards, and AI recommendations.
Blockchain ensures transparency, security, and automation in real estate platforms, enhancing reliability.
AI-driven functions such as property valuation, risk scoring, and user matching make platforms smarter and user-friendly.
Developing a platform like Lofty AI involves defining product vision, market research, scalable tech stack, core feature development, and scaling strategies.
Monetization strategies for platforms like Lofty AI include earning from transaction fees, premium services, processing fees, and listing charges.
Building a platform like Lofty AI may cost between $55,000 to $105,000, covering research, UI/UX, backend development, mobile app (optional), testing, and more.
Real-world examples like Fundrise, Pacaso, and Fintor can inspire and provide insights for building successful real estate investment platforms.
Challenges in platform development include legal complexity, user education, token liquidity, and system security, which can be overcome with the right approach.

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Medium

137

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Why Writing Tests Wasn’t Natural for Me — and How I Finally Got Over the Hump

Initially, writing tests was not a natural process for the author and felt like an optional chore.
The author used to believe testing was something to be added later, similar to documentation or error handling.
However, after facing a bug in a function written months ago, the author realized the importance of testing and how the mindset of skipping it led to consequences.
The realization of the significance of testing came not from a major production failure but from a minor bug in a helper method.

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Dev

270

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How to Build Heartbeats in Go: Let Your Goroutines Say 'Still Breathing!'

Heartbeats in Go are essential for ensuring the liveliness of goroutines, especially in concurrent applications.
By implementing heartbeats, you can monitor goroutines, prevent silent failures, and maintain resilient systems.
The code snippet provided demonstrates how to build heartbeats in Go using channels to signal liveliness and work completion.
Utilizing non-blocking sends and proper cleanup logic in goroutines is crucial for effective implementation of heartbeats.

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16 Likes

Dev

428

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How I delivered 2 MVPs in 30 Days

A solo developer delivered 2 projects to customers in 30 days, averaging 2 weeks per project, without using agile methodologies or writing tests.
Used a tech stack including TypeScript, React 19, Next.js 15, Tailwind CSS, Shadcn UI, HTML, CSS, JS, Biome.js, semantic-release, Playwright, GitHub Actions, and Vercel for fast development.
Projects included an MVP for a GenAI startup in the medical field with a responsive dashboard, and a production-ready app for a partner in the cyber security field with an API documentation platform built on top of OpenAPI.
Coding goals focused on clean codebase, minimalistic tech stack, low complexity, easy maintenance, high quality of life for developers, and leveraging AI and ecosystems, with a preference for LTS Node.js / NPM and minimal technical overhead.

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Medium

126

Title: I Built a Python Calculator (Now With a Percentage Finder!) — Here’s What I Learned

The article discusses the author's experience of building a Python calculator with a percentage finder to solve real problems while learning Python.
The calculator can perform basic operations like addition, subtraction, multiplication, and division, along with the added functionality of calculating percentages.
Through this project, the author learned the power of functions, the importance of handling user input carefully, and the significance of making the calculator user-friendly.
The author plans to work on a unit converter and solving Project Euler problems using math and Python in the future, emphasizing the importance of starting with simple projects and gradually improving.

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Dev

126

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Are You Going Wrong in Coding? How Fast Should You Learn New Skills in a World That Won’t Wait?

In the fast-paced world of technology, the fear of falling behind in coding is real, but it's important to address both learning pace and path.
Factors indicating you might be going wrong in coding include copying code without understanding, focusing only on tools, and comparing yourself to others.
Learning at a sustainable speed, focusing on foundational skills, and embracing a growth mindset are essential in a world that moves quickly.
Tips to keep up without burning out in coding include creating a learning roadmap, practicing daily, building real projects, staying curious, and joining a community.

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7 Likes

Medium

3.1k

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Microsoft Just Open-Sourced GitHub Copilot: Code, Competition, and the Coming AI Developer…

Microsoft has open-sourced GitHub Copilot, the AI coding assistant, under the MIT license, showcasing a deepened commitment to an open developer ecosystem.
The move is seen as a strategic maneuver in the competitive AI arms race and signifies Microsoft's bid for more control over the developer AI experience.
Developers can now access GitHub Copilot under the MIT license, enabling practical implications for coding and innovation in the AI coding assistant market.
While this decision democratizes access to a leading AI developer tool, potential challenges like computational costs and new market responses may arise.

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Dev

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Building a Connect4 Game in Pygame with the Amazon Q CLI

Connect Four is a game where players strategically drop colored tokens into a grid to align four pieces in a row.
The motivation to build the Connect4 game was to recreate the thrill of lining up four pieces in Python using Pygame without writing any code.
Amazon Q Developer CLI is a tool that integrates Amazon Q, a generative AI-powered assistant, into the terminal environment for natural language interactions and automation.
The article showcases how Amazon Q CLI can assist in developing games like Connect 4 without writing code, providing a step-by-step guide and refining the game with new features.

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