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Claude 4: You better stop coding now

Anthropic has recently launched Claude 4, described as a coding beast with impressive capabilities.
Claude 4 is released in two versions - Sonnet 4 for daily use and Opus 4 for handling complex tasks.
It is compared to Google versus an actual PhD advisor, showcasing its versatility and efficiency in coding tasks.
Users on Reddit praise Claude 4, suggesting it might become their preferred coding copilot.

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Dev

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How to Change Syntax Highlighting Colors in Visual Studio Without Installing a Theme

Developers can customize syntax highlighting colors in Visual Studio without installing external themes.
Reasons for changing syntax colors include improving readability, reducing eye strain, and personal preference.
Steps to change syntax colors manually in Visual Studio include navigating to Fonts and Colors Settings under Tools > Options and customizing colors for different code elements.
Pro tips suggest using soft tones, matching syntax colors with popular color schemes, and saving settings using Visual Studio's 'Import and Export Settings' feature.

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Dev

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Claude 4 Has Landed: Anthropic Redefines AI Coding & Agentic Power

Anthropic's Claude 4 models, especially Opus 4, bring a groundbreaking shift in AI coding, boasting unrivaled performance and capabilities in software development and automation.
The Claude 4 series introduces Opus and Sonnet models, each tailored for distinct tasks: Opus for complex challenges and Sonnet for efficient everyday tasks and enterprise applications.
Key capabilities of Claude 4 include hybrid reasoning, enabling instant responses and extended thinking for intricate coding challenges and agentic workflows.
Opus 4 stands out with remarkable coding prowess, achieving high scores in SWE-bench and Terminal-bench, showing advanced code understanding and problem-solving abilities.
Claude 4 excels in powering autonomous agents with capabilities for long-running tasks, advanced tool use, and superior memory retention, revolutionizing AI-driven automation.
The models prioritize reliability and control, with Sonnet 4 demonstrating improved precision in task execution compared to predecessors.
Performance benchmarks showcase Opus 4's excellence in reasoning tasks and Sonnet 4's efficiency, positioning both models as significant upgrades in AI capabilities.
Anthropic offers competitive pricing for Claude Opus 4 and Sonnet 4, with features like prompt caching and batch processing for cost savings, accessible through various platforms.
Early feedback from developers and experts praises Claude 4 for its precision, problem-solving, and performance in software development and agentic scenarios.
Beyond the models, Anthropic launches API tools like Code Execution Tool and Prompt Caching, enhancing user interactions and efficiency in software development.

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Medium

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Part 1 — Demystifying Microservices: Getting Your Head Around the Basics

Microservices can initially seem simple but understanding the concept is crucial after experiencing deployment challenges.
This post focuses on explaining microservices practically rather than just defining them as buzzwords.
Using the analogy of a big family house, monolithic systems are compared to having everything shared, causing chaos if one part fails.
Understanding the importance of breaking down services and how .NET developers can adopt microservices in a manageable way is emphasized.

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Dev

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Is TypeScript difficult to learn?

Learning TypeScript can be challenging, especially without proper training.
Even with experience in other languages like Java, users may struggle with TypeScript at times.
It is recommended to thoroughly understand the basics and be prepared to face challenges during exercises.
Personal experience suggests that finding the right resources like online courses can greatly aid in mastering TypeScript.

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Dev

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The AI Architect's Toolkit: Navigating the Core Paradigms of Supervised vs. Unsupervised Learning

The AI Architect plays a crucial role in guiding intelligent systems and leveraging the paradigms of Supervised and Unsupervised Learning for impactful AI solutions.
Supervised Learning (SL) involves learning from labeled examples to predict outputs accurately, while Unsupervised Learning (USL) focuses on discovering patterns in unlabeled data.
SL excels in predictive accuracy with defined evaluation metrics and direct business value, requiring robust data labeling pipelines and model deployment.
USL, without labeled data, aids in exploration, generating insights, and anomaly detection, but faces challenges in evaluation and scalability for high-dimensional data.
Architectural choices for AI Architects involve data strategies, MLOps frameworks, cloud-native solutions, compute optimization, ethical AI, and interoperability.
The decision between SL and USL depends on problem type, data availability, and desired outcomes, with advanced paradigms like semi-supervised learning and self-supervised learning offering hybrid solutions.
AI Architects must master the combination of learning paradigms, build resilient pipelines, and incorporate ethical considerations to craft the backbone of future intelligent enterprises.

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Dev

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P++: A Language That Speaks Both Interpreter and Compiler

P++ is a new experimental programming language designed to bridge the gap between ease of use and performance.
Key features include Interpreter Mode for fast iteration and debugging, LLVM Compiler Mode for JIT/AOT execution and performance, a new REPL shell, and a simple syntax with an extensible architecture.
Developers can switch between interpreted and compiled modes easily, allowing for fast prototyping and efficient execution when needed.
The language supports a variety of features like inline assembly, memory management, and class definitions, aiming to combine the strengths of languages like Python and C++.

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Medium

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Devstral Small: The best Software Engineering Agentic LLM by Mistral

Mistral AI has introduced Devstral-Small-2505, a 24 billion parameter model designed for Software Engineering tasks, surpassing similar models in performance.
Devstral is an agentic model that can think and act like a software developer, navigating codebases, editing files, and facilitating intelligent software engineering workflows.
With a 128k token context window, Devstral is optimized for handling massive codebases. It is released under Apache 2.0 license, allowing free use, tweaking, and commercialization.
Devstral, equipped with a high-capacity Tekken tokenizer, outperforms both open-source and closed-source models in code-heavy tasks, offering scalability and real-world performance for software engineers and agent developers.

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Dev

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Shocking Things You Can Do in JavaScript

JavaScript has evolved with powerful capabilities that eliminate the need for popular libraries, such as set operations that replace lodash, non-destructive array methods, and object grouping.
New features like logical assignment operators, top-level await for async module initialization, and private class features enhance code conciseness and encapsulation.
Text segmentation with Intl.Segmenter improves handling of languages without spaces between words, while Atomics and SharedArrayBuffer enable true parallelism in JavaScript.
These features signify the continuous evolution of JavaScript, offering developers cleaner, more maintainable code and reducing reliance on external dependencies.
By leveraging these native solutions, developers can optimize performance and discover the hidden capabilities of modern JavaScript.

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Medium

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On Which Side Are You? ⚔️‍

The conversation revolves around the impact of AI on jobs and businesses, with varying perspectives shared by the participants.
Discussions include the role of AI in business growth, job stability, and global economic situations such as US-China tariffs.
Concerns are raised about job saturation, automation, and challenges in job switching and immigration.
While some emphasize the need for upskilling and acceptance of AI, others express fear about AI replacing jobs and its potential dangers.
Debates on AI's influence on sectors like government, education, and healthcare are also mentioned, along with the need for ethical oversight.
The conversation highlights contrasting views on AI's impact on job distribution, wealth inequality, and its evolving capabilities.
Participants discuss the limitations and potential of current AI technology, emphasizing the importance of human oversight in AI development.
The dialogue stresses the significance of problem-solving skills and adaptation in the evolving technological landscape.
The notion that AI tools may enhance human capabilities rather than replace workers entirely is suggested.
The discussion concludes with a thought-provoking insight that AI's imperfections can lead to human empowerment and new opportunities.
Overall, the conversation showcases a nuanced exploration of AI's role in the future workforce and the potential benefits and challenges it presents.

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Medium

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When Structured Meets Unstructured: A Love Story for the AI Era

PSense.ai is building an intelligent document parser pipeline for a potential deployment opportunity.
They showcased a real-world use case where a PDF order received via email was parsed, understood, transformed, and routed without any code.
This AI-enhanced choreography of document parsing, semantic search, mapping, transformation, and delivery is powered by their visual builder, SCD.
What used to take weeks of coding now takes minutes, giving documents a nervous system to interact with structured records.

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Javarevisited

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Top 5 Udemy Courses to learn D3.js for Data Visualization with JavaScript in 2025 - Best of Lot

D3.js is a popular JavaScript library for creating interactive data visualizations on the web, commonly used by Data Scientists and Analysts.
Several courses are available in 2025 to learn D3.js, teaching how to create interactive visualizations and charts by binding data to web elements.
These courses cover basics of data visualization with D3, including building various types of charts like Bar charts, Pie charts, and Mind maps.
Learning D3.js can be valuable for professionals needing to present data insights effectively to stakeholders and business audiences.

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Medium

153

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If the tokens don’t appear automatically, manually add the $SUBBD token using its contract address provided on the SUBBD website or official communications. Ensure eligibility for the airdrop by meeting the criteria such as holding specific tokens or completing certain tasks.

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Medium

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The Deva, Our DNA, and the Vimanika Shastra: Spittin’ in the Face of Science’s Blind-Ass Veil of…

Subbaraya Shastry, the seer who brought us the Vimanika Shastra, tapped into cosmic knowledge from the Deva through psychic abilities like remote viewing and telepathy.
Die Glocke, the Nazis' secret bell-shaped flying machine powered by a mysterious substance called Xerum 525, resembles technology described in the Vimanika Shastra, suggesting a hunt for ancient secrets and Vedic texts.
The Veil of Maya, referred to in the Vedas, symbolizes science's limited perspective that dismisses concepts like the Vimanika Shastra and Die Glocke, while the Deva supposedly altered human DNA and provided knowledge for advanced flying machines.
The article serves as a wake-up call to look beyond the limitations imposed by the Veil of Maya and explore the cosmic origins of humanity, as exemplified by figures like Subbaraya Shastry and advancements like Die Glocke.

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Medium

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Unlock The Power Of Angular FormRecords: An Interactive Guide To Dynamic Forms

Angular FormRecords provide a powerful tool for creating dynamic and interactive forms in web development.
This article serves as a comprehensive guide to mastering Angular FormRecords, from basic setup to advanced interactive demos.
By understanding FormRecords, developers can build responsive and user-friendly forms using Angular.
Readers are encouraged to install Angular’s ReactiveFormsModule, experiment with the code, and share feedback for a hands-on learning experience.

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