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Medium

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9 No-Code Websites That Could Replace Your Entire Dev Team

No-code website platforms allow for designing, launching, and scaling websites without any engineering help.
Templates like The Frankie and Radison cater to AI SaaS companies with user-friendly interfaces and responsive designs.
Automatix and Hirevision focus on AI-driven digital experiences and functionality for tech-savvy audiences.
Cyberg showcases expertise and innovation for AI automation agencies, while Convert is a conversion-centric template for tech startups.
Neura and Astra offer sleek, modern designs tailored for AI and SaaS startups, enabling quick online presence establishment.
These templates feature customizable elements, advanced tools, and optimized SEO to enhance user experience and boost conversions.
No longer requiring a full dev team, building professional websites has become faster, easier to update, and scalable with no-code tools.

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Dev

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How to Build a High-Performance Hypercasual Game Aggregator Like RiseQuest

RiseQuest Game Hub provides a central portal for over 20,000 hypercasual games, enhancing user engagement and SEO performance.
To build a similar game aggregator, consider tech stacks like WordPress, Next.js/React, or a Headless CMS for optimal performance and ease of maintenance.
Key steps include data sourcing, frontend development focusing on category filters and infinite scroll, backend setup with CMS integration, performance optimization, ad integration for monetization, and deployment strategies.
By following these steps meticulously, you can create a successful game aggregator that offers a seamless experience for users and boosts revenue generation.

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Dev

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Training Your First ML Model on Amazon SageMaker Using S3 Data

Machine Learning has become more accessible with tools like Amazon SageMaker, allowing users to train models from raw data easily.
The process involves uploading a dataset to an Amazon S3 bucket, setting up a SageMaker Notebook Instance, loading and exploring the data, pre-processing it, and training the model using built-in algorithms.
By following the steps outlined, users can efficiently train and deploy machine learning models using Amazon SageMaker and S3-hosted datasets.
The integration of Amazon SageMaker with S3 provides a scalable solution for training ML models, simplifying the process from data upload to model deployment.

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Dev

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QA Post: Ask Me Anything About Starting Web Development

This post is an invitation for a Q&A session on starting web development, welcoming questions and discussions from beginners or those exploring the field.
Advice includes starting with HTML, CSS, and JavaScript as the foundational languages before moving on to frameworks like React or Vue.
Encouragement for learners who may feel overwhelmed or stuck, emphasizing that learning involves challenges and perseverance.
Suggested tools for beginners include VS Code, Chrome Developer Tools, Git + GitHub, and free learning resources like FreeCodeCamp and MDN Web Docs.

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Dev

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💡 Why I’m Building RelayBeam - Fixing the Gaps in How We Communicate Today

RelayBeam is a platform built to streamline both internal and external communication in one place.
Creator addresses the gap in communication tools for contacts outside personal and team circles, where email becomes the default despite its limitations.
RelayBeam offers a dedicated platform for clear, private, and purpose-driven communication without personal contact information, cluttered inboxes, or formality.
The platform aims to provide a focused messaging space for professional and personal use, organizing conversations by topic while maintaining real-time chat dynamics.

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Dev

223

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Iterator in Python (5)

Python itertools module provides functions to work with iterators.
The count() function creates an iterator that generates numbers indefinitely or within specified range.
The cycle() function returns an iterator that endlessly repeats a specified iterable.
The repeat() function returns an iterator that endlessly or limitedly repeats a specified value.

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Medium

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10 hands-on Docker projects that’ll actually level up your skills not just hello-world junk

Running basic 'hello-world' in Docker doesn't mean understanding Docker; real skills come from hands-on experience with problem-solving.
This article presents 10 practical Docker projects to enhance skills and tackle challenges often overlooked in tutorials.
Projects include setting up clean Dockerfiles, creating React apps, Dockerizing blogging with WordPress, a VS Code browser-based setup, a file upload app, and more.
By working on these projects, individuals can transition from mere container knowledge to system-level understanding and infrastructural expertise.
Projects like Dockerized WordPress and deploying services like Jenkins and Drone provide hands-on experience in managing complex applications.
Docker projects also cover creating a file drop tool, visitor analytics setup, and deploying web apps with SSL and domain management.
The article culminates in simulating a micro-SaaS backend launch, empowering individuals to build scalable solutions using Docker.
Building these projects offers a practical approach to enhancing Docker skills, moving beyond basic commands to mastering DevOps principles.
Through these projects, individuals can gain expertise in container orchestration, system deployment, automation, and infrastructure management.
Overall, these 10 Docker projects provide a comprehensive learning experience to develop advanced skills and knowledge in containerization and DevOps.
Completing these hands-on projects will enable individuals to strengthen their Docker proficiency and excel in real-world application deployment challenges.

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Spring

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This Week in Spring - June 10th, 2025

Spring creator Rod Johnson was spotted presenting at JSpring event 20 years ago.
A new framework called Embabel by Rod Johnson for agentic systems and services was discussed.
GraalVM team is working on Project Crema to enable dynamic loading and evaluating of classes at runtime for native images.
Various articles and posts on Spring AI, including production-worthy AI development with Spring AI 1.0 and its support for building Model-Context Protocol services were shared.

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PlanetPython

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Armin Ronacher: GenAI Criticism and Moral Quandaries

Armin Ronacher reflects on the criticism he received for his previous article on AI, particularly focusing on the skepticism towards AI adoption.
He emphasizes the distinction between utilitarian outputs like code and creative outputs that evoke emotion.
Ronacher highlights the positive outcomes he has experienced with AI tools, contrasting with others' negative experiences.
He disputes the notion that AI adoption is being forced by management, noting instances of grassroots adoption.
Ronacher finds enjoyment in using AI for programming tasks and sees it as a patient recipient of feedback and change requests.
Regarding concerns about energy consumption and copyright issues, Ronacher believes that AI may lead to increased energy usage but could benefit renewable energy sources.
He sees potential in AI, especially in education, contrary to claims that it promotes rampant academic cheating.
Ronacher encourages a positive view towards the future of AI, suggesting working alongside machines rather than feeling overwhelmed by technological advancement.
Despite acknowledging critics' concerns, Ronacher stands by the utility of AI tools and his positive experiences with them.

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Inside

310

Episode 37 “Efficient Initialization Using Stable Values” with Per Minborg

The Stable Values API in Java 25 allows developers to define immutable objects initialized at most once, combining lazy initialization flexibility with the performance benefits of final fields.
Per Minborg, member of the Java Core Library team at Oracle and co-author of JEP 502, discusses how Stable Values improve application startup efficiency by deferring the creation of expensive resources until needed, addressing the limitations of eager initialization in Java.
Stable Values can be advantageous in multi-threaded environments, offering thread-safe, at-most-once initialization without the complexity of traditional synchronization mechanisms.
For more insights, refer to resources like JEP 502, A Sneak Peek at StableValue and SegmentMapper, and Stable Values in Java 25 - Inside Java Newscast #88.

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Idownloadblog

330

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Apple to let developers tap into Apple Intelligence in their apps via the Foundation Models framework

Apple introduced the Foundation Models framework at WWDC 2025, allowing developers to utilize Apple Intelligence in their apps.
Developers can implement AI-centric features in their apps using local hardware, reducing reliance on external servers for AI tasks.
One example showcased a study app generating personalized quizzes from handwritten notes, aimed at aiding students in test preparation.
Apple will provide beta access to the Foundation Models framework, enabling developers to explore and integrate AI capabilities into their apps before the official release in iOS & iPadOS 26 this Fall.

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Medium

Xcode 26 Beta Arrives with a Focus on AI, Performance, and Enhanced Debugging

Xcode 26 beta ships with SDKs for the latest beta versions of Apple’s operating systems: iOS 26, iPadOS 26, tvOS 26, watchOS 26, macOS Tahoe 26, and visionOS 26.
A major theme in Xcode 26 is the integration of Coding Intelligence leveraging Apple Intelligence for predictive code completion and Coding Assistant to streamline development.
Opt-in compilation caching in Xcode 26 speeds up build cycles, C++ developers benefit from new features and performance improvements.
Instruments tool enhancements, debugging improvements, localization enhancements, and updates for Metal and game development are key features in Xcode 26 beta.

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Dev

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Debug Heroku Deployment Errors: Slay Asset Compilation & Env Vars Dragons 🐉

Debugging Heroku Deployment Errors: Slay Asset Compilation & Env Vars Dragons 🐉
Asset Compilation can fail due to missing dependencies, outdated versions, or path issues. Solution: Precompile assets locally, ensure Node.js & Yarn on Heroku, and add postinstall script to package.json.
Environment Variables errors often result from forgetting to set variables, typos, or not restarting dynos. Solution: Set and verify variables, add debugging checks in initializers, and restart dynos.
Other deployment challenges include Database Setup failures, File Permission issues, and Memory Limits for Asset Compilation. Solutions include running migrations, adjusting permissions, and setting memory limits in Heroku.

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Dev

218

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12 Open Source Tools Every Developer Should Know🔥

The article highlights 12 open source tools that every developer should know about to enhance their skills and competitiveness in the market.
HMPL is a server-oriented templating language for JavaScript that allows for small applications with the same UI as modern frameworks.
Docker Compose, a tool for running multi-container applications on Docker, is essential for modern development.
LangChain is a framework for building context-aware reasoning applications using LLM-powered applications.
Ollama offers a collection of popular AI models for developers to utilize in their projects.
Vue-Vapor, a variant of Vue, provides rendering without using Virtual DOM and offers fast speeds among frameworks.
Shadcn UI is a popular component library for building modern design applications with accessible and customizable components.
Postiz is an ultimate social media scheduling tool with AI features for managing social media presence effectively.
Bun is an incredibly fast JavaScript runtime, bundler, test runner, and package manager for JavaScript and TypeScript apps.
Nest.js is a progressive Node.js framework suited for building efficient, scalable server-side applications with TypeScript.
VuePress is a minimalistic Vue-powered static site generator useful for generating static sites from Markdown content.

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Medium

126

If I Were to Rebuild CodePathX from Scratch…

Proposed enhancements to CodePathX curriculum include dividing it into clear levels: Beginner, Intermediate, and Advanced with practical projects, mini-certificates, and bonus content.
Suggestions for enhancing Monaco Editor with features like real-time smart suggestions, auto-documentation, syntax warnings, error highlighting, and a virtual HTML/JS terminal for instant code execution.
Plan to introduce an integrated chatbot for answering coding-related queries and implementing 'Streaks' and badges for building a daily learning habit and celebrating milestones.
Emphasis on personalized certificates, diverse content creation with real-world examples, a backend supporting roles, dynamic course content, analytics, and rate limiting for server protection.

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