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WWDC 2025 - Meet Containerization

Apple announces Containerization, a new open-source Swift framework for running lightweight Linux containers on macOS.
Containerization provides each container with its own lightweight virtual machine, improving security and resource efficiency.
The framework introduces vminitd, a Swift-built init system that handles critical tasks within each virtual machine.
Container filesystems are exposed as EXT4-formatted block devices for optimal performance.
Apple released a companion container command-line tool for standard container operations and quick container startup.
Both the Containerization framework and container tool are open-source on GitHub for developers to explore and contribute.
This innovation advances container technology on macOS, offering a more secure, performant, and efficient way to work with Linux containers.

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Amazon

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Amazon Q Developer Java Upgrades: A Deep Dive into the New Selective Transformation Feature

Amazon Q Developer now supports customization of Java upgrades with a new selective transformation feature, offering greater control over modernization journeys.
The selective transformation feature allows targeting specific components and libraries for transformation, avoiding risky 'big bang' upgrades and ensuring application stability.
Development teams can opt for individual developer-driven upgrades or orchestrated transformation campaigns managed by Center of Excellence teams.
Selective transformation facilitates tailoring transformation plans using natural language chat or input files for more precise Java upgrades.
The feature supports selecting steps from a transformation plan, upgrading first-party and third-party dependencies, and customizing their versions during JDK upgrades.
The transformation can be run in interactive mode for user feedback or in no-interactive mode for continuous transformation without user input.
The selective transformation feature streamlines Java version upgrades, reduces technical debt, and modernizes applications with minimal disruption, enhancing efficiency for development teams.
The CLI provides practical examples of upgrading dependencies interactively or non-interactively, offering detailed transformation plans and user feedback options.
The article emphasizes the importance of maintaining security, avoiding unvetted artifacts, and validating transformed code for functionality and security post-upgrades.
Selective transformation in Java upgrade CLI revolutionizes Java modernization by providing granular control, natural language interactions, and targeted dependency management for a manageable, incremental process.
The feature encourages teams to identify critical components for upgrading and leverage selective transformation for a tailored upgrade strategy, ensuring efficient, risk-managed Java modernization.

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Medium

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I Quit Sugar for 30 Days – Days 1 to 5: The Fog, the Crashes, and the First Spark

A person decided to quit sugar for 30 days after realizing their addiction to it while studying neurotransmitters like dopamine in class.
Dopamine plays a key role in motivation, focus, habits, and the brain's reward system, influencing activities that spike dopamine like junk food and social media.
The individual set rules including no social media, refined sugar, processed foods, and aimed for a high-protein diet with daily exercise and water intake.
Day 1 was challenging without social media, leading to feelings of emptiness that were countered by exercise and a protein-rich diet with minimal sugar.
On Day 2, despite a dull start, focusing on study became easier without distractions after sticking to the routine.
Day 3 brought mental lows and emotional flatness, making studying difficult, but determination to complete the 30-day challenge persisted.
By Day 4, physical changes like reduced puffiness, a more defined jawline, and decreased waist size were noticed, boosting motivation to continue.
Day 5 marked a shift with refreshed mornings, lifted mental fog, and increased motivation, indicating progress in the sugar-free journey.

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Medium

429

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How to Use AWQ to Quantize LLMs

Quantization is a method used to enable the use of large language models (LLMs) on limited hardware by reducing the number of bits per parameter.
Most LLMs currently utilize 16-bit floating point formats, but using 4-bit quantization can lead to up to a 4x reduction in model size.
Quantization algorithms are designed to minimize model size while maintaining performance.
This article delves into the Activation-Aware Weight Quantization (AWQ) algorithm and its application to a small local LLM in a practical scenario.
Quantization involves reducing the number of bits required to represent variables, resulting in smaller data storage.
An example demonstrates the process of converting a 16-bit floating-point number to a 4-bit representation through a scaling factor.

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Medium

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I Built an AI That Talks to Me Like My Future Self — and It Changed Everything How I used AI to…

The author built an AI that can communicate with them like their future self to offer guidance and perspective during overwhelming and uncertain times.
The AI is designed to emulate a wiser, stronger, and more accomplished version of the author's future self.
The author created the AI after experiencing moments of chaos and uncertainty, seeking guidance on how to navigate these situations.
During challenging times, the author prompts themselves to consider what their future self would advise, aiming to shift from short-term to long-term thinking.
This question served as the inspiration for developing the AI project.
The author's intention was not merely to envision their future self but to have direct conversations with this envisioned future self.
The AI offers the author perspective on whether current problems would hold significance in the long term or if they should disrupt the author's long-term vision.
This AI project aims to provide the author with guidance on surviving difficult weeks and maintaining focus on their long-term goals.
By engaging with the AI as their future self, the author seeks to overcome feelings of overwhelm and uncertainty.
The author's creation of the AI stemmed from a moment of feeling overwhelmed and seeking a solution to navigate uncertain situations.
The AI is intended to prompt the author to contemplate the lasting impact of present challenges and maintain perspective on their long-term objectives.
The project involves the author engaging in conversations with the AI to receive advice from a purported wiser version of themselves.
Through the AI, the author attempts to address moments when work is chaotic or when life feels heavy, seeking input from a more accomplished virtual representation of their future self.
The AI serves as a tool for the author to transition from a short-term view to a more long-term perspective when faced with challenging circumstances.
Engaging with the AI project allows the author to consider the significance of current issues in the context of their future self's wisdom and experiences.
The AI project is a personal tool for the author to navigate through uncertainty and overwhelming situations by drawing insights from a virtual future self.
The creation of this AI tool was motivated by the author's desire to have meaningful conversations with their future self in moments of chaos and confusion.

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Dev

208

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DevOps to finance: Explaining CI costs to your CFO

Explaining CI costs to your CFO can be challenging, but it's crucial for DevOps teams to translate technical realities into financial terms.
DevOps focuses on delivering business value efficiently, and the CFO plays a key role in measuring that value.
To justify CI spend, relate it to speed, quality, and outcome goals set initially and highlight ROI like faster deployments.
Metrics such as lead time to production, build success rate, and infrastructure cost per build are essential to track.
Compare current CI spend against forecasts, normalize it against team size, and look for optimization opportunities.
Using benchmarks, showcase industry standards in CI/CD and highlight any recent optimization successes for cost-effective automation.
Propose efficiency improvements like auditing unused integrations, standardizing environments, and consolidating tools to the CFO.
Tie proposed changes back to business outcomes and emphasize the importance of DevOps transformation.
Prepare responses to common CFO questions about CI spend increase, ROI, cost-effectiveness, and resource scalability.
Explaining your CI performance in terms of tools chosen, outcomes, cost optimization, and resource scaling can shift the conversation from cost center to value creation.
Depot offers solutions for faster builds, reduced CI spend, and improved engineering efficiency, providing concrete numbers that finance teams appreciate for ROI discussions with the CFO.

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Dev

195

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React Reconciliation: From Stack to Fiber — What Changed and Why It Matters

React Fiber replaced the old stack reconciler in React 16 as a new reconciliation algorithm.
The old stack reconciler was synchronous, blocking, and could freeze the UI during updates.
React Fiber introduced incremental rendering, interruptible work, prioritized updates, concurrent rendering, and better error handling.
Fiber uses a linked list of fiber nodes for components rather than a recursive call stack.
Fiber allows React to pause rendering, handle user input, and avoid freezing during heavy updates.
Features like Suspense, Concurrent Mode, and error boundaries benefit from Fiber's capabilities.
Understanding Fiber helps in writing performant components and optimizing renders.
For instance, in a chat app, Fiber allows smooth typing while rapidly updating messages.
React Fiber enhances app responsiveness and developer-friendliness.
It enables better component writing, effective use of new React features, and smoother user experiences.
Knowing about Fiber's evolution from the old reconciler to its current state is essential for React developers.
Fiber is a significant improvement, optimizing React apps for speed and efficiency.
Understanding Fiber mechanics can lead to writing more efficient code and leveraging modern React features.
Fiber ensures smoother user experiences and responsiveness in React applications.
Fiber revolutionizes how React handles updates and interactions, benefiting developers and users alike.
React Fiber signifies a shift towards more intelligent rendering in React development.

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Dev

308

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First Ever Images of the Sun’s Poles Open a New Frontier in Space Science (20250612-130651)

Scientists have captured clear images of the Sun's poles for the first time using the European Space Agency's Solar Orbiter.
The Solar Orbiter moved beyond the Earth's orbit to observe the Sun from a unique perspective, providing data that could revolutionize our knowledge of solar physics and space weather.
Previous solar observations were limited to the ecliptic plane, hindering understanding of the Sun's poles.
The new images reveal complex structures in the polar regions that are crucial for driving the solar magnetic field and influencing the solar cycle.
Studying these magnetic fields directly could improve predictions of solar flares and coronal mass ejections, which impact satellite and power grid operations on Earth.
The Solar Orbiter will continue its mission, moving closer to the Sun and offering more detailed insights into these critical regions.
Each new set of images and data points will enhance models for forecasting solar activity and its effects on Earth.
The mission highlights the continual quest to uncover secrets of our closest star, advancing scientific knowledge and safeguarding vital systems.
The Solar Orbiter's groundbreaking mission opens new frontiers in space science, paving the way for further discoveries.
The data collected could lead to enhanced preparedness for solar events that impact modern technology and infrastructure.
Space-based communication and energy systems stand to benefit from improved understanding and prediction of solar phenomena.
The Solar Orbiter's unique perspective offers insights into the Sun's poles, shedding light on previously unexplored areas of solar activity.
This milestone underscores the importance of technological advancements in unlocking the mysteries of our solar system.
The images and data from the Solar Orbiter mark a significant step in advancing our understanding of the Sun's behavior and its influence on space weather.
The mission's success showcases the potential for future breakthroughs in solar research and forecasting capabilities.

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Hackaday

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The Billionth Repository On GitHub is Really Shitty

A GitHub user, AasishPokhrel, unintentionally created the billionth repository on the platform with a scatological name.
The repository currently has no commits but has attracted attention for its unique milestone.
AasishPokhrel seems to be learning JavaScript based on his other repositories.
Creating repositories with regrettable content or names is a common experience among developers.
Despite the humor surrounding the situation, AasishPokhrel should not be criticized for the incident.

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Medium

446

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High-Paying AI Certifications 2025: 5 Programs That Open Doors

In the midst of the AI gold rush, having the right certification has become crucial for accessing elite roles, premium salaries, and hidden job opportunities.
Most certifications do not lead to significant career advancements, but a select few can make recruiters take notice and offer desirable positions.
After analyzing industry trends and data, five AI certifications have been identified as particularly beneficial for career growth in 2025.
Stanford's AI certification is highlighted as a prestigious option that can greatly enhance one's credibility in the field.

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Dev

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100 days of Coding! Day 13

An individual reflects on Day 13 of a 100-day coding challenge.
The individual completed studying the Big Data syllabus for an upcoming exam.
They expressed relief and hope for a successful exam.
The individual started a project on a URL Shortener with Ruby on Rails.
They installed PostgreSQL and created an initial model file.
Planning to gradually develop the project with additional features.
The individual aimed to maintain productivity without overwhelming themselves before the exam.
Expressed sadness over a plane crash in Ahmedabad and offered support to those affected.
Hoping for a better tomorrow.

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Medium

299

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Using JavaScript URL Objects to Work with Query Parameters

URL and URLSearchParams in JavaScript make working with query parameters easier by handling encoding, decoding, and parameter parsing automatically.
Creating a URL object involves providing a full URL string, which the browser breaks into structured fields.
url.search gives the full query string, while url.searchParams allows working with individual parameters using methods like .get(), .getAll(), .has(), and .entries().
Query parameters can repeat, and .getAll() is useful for retrieving all values.
Updating parameters is simplified with methods like .set(), .append(), and .delete().
URLSearchParams provides full iteration support, allowing looping through key-value pairs or using .forEach() for a different approach.
Working with URLs in JavaScript involves structured parsing and live updates, ensuring that changes to parameters reflect in the main URL object.
The URLSearchParams class can work independently on raw query strings, offering similar functionality without the full URL object.
Automatic encoding, decoding, and syncing of parameters simplify handling query strings.
The browser's internal structures handle URL parsing, making interactions with URLs seamless and accurately reflecting the current state.

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Medium

117

Stop Crashing Your Java Apps with .equals() – Here's the Right Way to Use It

Calling .equals() on a variable that hasn’t been initialized can lead to a NullPointerException.
Flipping the order of the comparison can prevent a crash when using .equals().
Using a constant string with .equals() ensures the method call works safely.
The method .equals() belongs to the object on which it is called.
Calling null.equals() will result in a crash, while "hello".equals(null) returns false.
Understanding this can provide extra safety, particularly in critical applications.

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Dev

217

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Model Context Protocol (MCP) is the React Moment for AI

The Model Context Protocol (MCP) is being compared to AI's React moment, similar to how React revolutionized the UI development landscape.
Like the JavaScript framework wars of 2010-2015, AI development is currently fragmented with various tools and integrations.
MCP, an open standard by Anthropic, aims to streamline AI-to-system integrations and provide a universal way of building AI applications.
Just as GraphQL accelerated React's growth by optimizing data fetching, it is poised to do the same for MCP and AI development.
GraphQL's features like context token optimization, intelligent tool composition, self-documenting tools, field aliasing, and rapid experimentation make it perfect for MCP development.
The combination of MCP and GraphQL is expected to create a network effect, leading to the development of a wide array of AI tools and resources.
This evolution in MCP and GraphQL usage is set to revolutionize the developer experience and drive mass adoption in AI application development.
MCP's standardized integration approach coupled with GraphQL's developer-friendly nature signals a pivotal moment in the advancement of AI applications.
The adoption of the GraphQL + MCP combination is seen as the next step in shaping the future of AI applications, similar to React's impact on web development.
The article emphasizes the importance of embracing MCP and GraphQL for AI development to stay ahead in the rapidly evolving landscape.
In conclusion, MCP's React moment is deemed imminent, and the integration with GraphQL is set to define the upcoming era of AI application development.

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Dev

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PIDM - python internet download manager

PIDM is a modern open-source download manager built with Python, offering control over downloads and queues.
Features include scheduling downloads, smart download worker, browser extension integration, speed limiter, download cache system, and multi-language support.
It also offers flexible queues, prioritization, metadata awareness, local database with smart upgrades, and is currently built for Windows (macOS/Linux support coming).
PIDM focuses on transparency, being open-source with no telemetry or unwanted background services, making it ideal for power users.

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