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What the Future of Product & Application Development Services Looks Like

AI-powered product design and development using generative AI is revolutionizing the industry by automating design processes, studying market trends, and improving prototyping efficiency.
Digital twins, virtual replicas of physical products, are being utilized for real-time testing and monitoring in industries like automotive, aerospace, and manufacturing to save costs and simulate different scenarios.
Sustainable and eco-friendly product development practices are becoming crucial with increasing concerns about environmental safety, requiring businesses to focus on sustainable materials, energy-efficient manufacturing, and circular economy practices.
The rise of low-code and no-code platforms in software application development is enabling faster product launches and increased accessibility for non-technical teams by minimizing the need for coding expertise.

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Medium

Vibe Coding For New Programmers ( Must Read If You Are New In Programming )

Rice-Shapiro theorem in formal computational theory states the impossibility of implementing AI to check the correctness of arbitrary programs.
These proofs set hard limits on the accuracy of AI analysis of software in any context.
Rice-Shapiro and related proofs are considered valid and correct, unlikely to be surpassed by newer proofs in the future.
The assertion is made that even the most advanced AI cannot replace programmers due to the fundamental limitation in understanding arbitrary programs' correctness.

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Global Fintech Series

424

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Acrisure Secures $2.1 Billion Funding Round Led by Bain Capital

Acrisure secures a $2.1 billion funding round led by Bain Capital for a total valuation of $32 billion.
The funding will be used for refinancing, strategic M&A, and accelerating development as a fintech solutions provider.
Investors involved in the transaction include Bain Capital, Fidelity Management, Apollo Funds, Gallatin Point, BDT & MSD Partners, among others.
Acrisure aims to expand its offerings through acquisitions, drive organic growth, and enhance its technology capabilities.

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Javacodegeeks

311

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How to Set Up Log4j2 Logging in Micronaut

Micronaut is a JVM-based framework designed for microservices and serverless applications, supporting logging frameworks like SLF4J, Logback, and Log4j2.
Micronaut uses compile-time annotation processing for dependency injection and configuration, leading to better performance and memory usage.
Log4j2 is a high-performance Java logging framework that offers improved architecture and configurability, ideal for complex applications.
Log4j2 supports asynchronous logging, custom log levels, advanced filtering, flexible configuration options, and low-garbage logging.
Setting up Micronaut logging with Log4j2 involves adding dependencies, creating a Log4j2 configuration file, writing application code, and running the application.
The Log4j2 configuration file specifies log format, output targets, and log levels, while the application code demonstrates logging messages at different levels.
Integrating Log4j2 with Micronaut enables structured logging and offers full control over formatting and log destinations.
By leveraging asynchronous logging and environment-specific configurations, developers can build and debug enterprise-grade applications effectively.
Log4j2, when combined with Micronaut, provides a powerful and performant logging solution for Java applications.
Developers can subscribe to newsletters and eBooks to enhance their Java skills and stay updated with the latest Java technologies.

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Dev

372

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🌐 My Google I/O Experience (2025) – By Invitation from Google Developer Team

Attended Google I/O 2025 with a special invite from Google Developer Team, felt like stepping into the future with innovators.
Android 16 featured buzz around UI/UX upgrades, CSS transitions, and unknown facts about Android's origins.
Highlights of Google I/O 2025 included advancements in AI like Marenia, Starline, Beam, DeepMind, Jules, DeepThink, and Veo 3.
The Google I/O experience was described as witnessing the future unfold in real time, motivating for more learning and creation in tech.

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Tech Radar

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I finally tried Samsung's Project Moohan Android XR headset, and it was Google Gemini that stole the show

The Project Moohan Android XR headset by Google and Samsung was tested by the writer post Sundar Pichai's Google I/O 2025 presentation.
The headset, while resembling Apple Vision Pro, was considered a bit less premium, but the standout feature was the integration of Google Gemini.
Gemini serves as the AI assistant, allowing for hands-free control and offering information based on real-world views captured by built-in cameras.
The writer had a smooth experience interacting with Gemini, requesting information and navigation in an immersive 3D environment reminiscent of Google Earth.
Though there were minor slowdowns, Gemini was highlighted as the most impressive aspect of the demo, leaving the writer eager for more time with the headset.
In terms of hardware, Project Moohan felt lighter than Vision Pro, with a snug fit and an easy-to-use main control interface gesture.
The headset lacked eye tracking during the demo, utilizing hand tracking for navigation and a depth effect for YouTube videos for a subtle 3D feel.
The tight integration of Gemini was praised as the standout feature of Project Moohan, making the device genuinely useful and exciting.
Despite a corded power pack, Project Moohan was comfortable to wear, hinting at promising potential provided Google nails the pricing and content lineup.
Expected to launch by the end of 2025, Project Moohan aims to offer a tangible XR experience compared to earlier Google prototypes and could make a strong debut in the market.

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Medium

390

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Building Products Like Lego: The Real Art of API-Driven Product Management

API-driven product management emphasizes leveraging pre-built APIs as building blocks for faster product development.
Using APIs allows Product Managers to focus on unique aspects of the product, like debate formats and user incentives, rather than starting from scratch.
APIs like Firebase for authentication, Agora for live audio rooms, Stripe for payments, and OpenAI for AI summaries enable quick MVP development within days.
Considerations for selecting APIs include cost scalability, white-label options, data storage compliance, and overall impact on product experience and performance.

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Javacodegeeks

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Fine-Tuning LLaMA for Code Completion (2025 Edition)

In 2025, fine-tuning large language models like LLaMA for code completion has become more accessible with improved tools and techniques.
Key steps involve preparing the codebase, instruction tuning, retrieval-augmented fine-tuning, fine-tuning with PEFT/LoRA, training setup, and inference with retrieval augmentation.
Best practices in 2025 for fine-tuning LLMs like LLaMA emphasize hardware optimization, data preparation, training strategy, retrieval augmentation, security measures, and deployment strategies.
The future of AI-assisted coding lies in smarter, leaner, and more responsive models that integrate seamlessly into developer environments, offering personalized AI coding assistants for improved efficiency and security measures.

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Medium

178

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Visual Intelligence Unleashed: Why Smart Enterprises Choose Computer Vision

Computer vision empowers enterprises by enabling machines to extract intelligence from visual stimuli using advanced algorithms and neural models.
Strategic advantages include precision in manufacturing, advanced healthcare diagnostics, retail intelligence, agritech solutions, and mobility and autonomous navigation.
Sunrise Technologies offers a range of solutions, from image labelling and multi-entity recognition to facial metrics, biometric security, kinematic analysis, and motion awareness.
Their tailored neural architectures, holistic execution approach, and privacy-first governance ensure the development of cutting-edge vision systems for various industries.

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Hackernoon

256

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What Building an AI Product Taught Me About Human Bias

The hardest part of building ethical, effective AI is dealing with human bias that creeps into every stage of development.
Data is never neutral as it reflects the assumptions, judgments, and behaviors of the people who generate it, leading to biased algorithms.
Bias is not a problem with the AI model but with human decision-making at scale, emphasizing the need for fairness and accountability in AI development.
Key considerations for AI builders include starting with diverse teams, interrogating data sources, and designing for ethical impact to address and mitigate human bias.

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Hackernoon

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Nvidia’s Mega-Machine Crushes ALL of 2024’s Internet Traffic - And It’s Spawning an AI Gold Rush!

Nvidia introduced the NVLink Spine at Computex 2025, capable of processing 130 terabytes per second, surpassing the internet's 2024 peak of 112.5 TB/s.
The NVLink Spine, with 72 GPUs and advanced technology, is designed for running trillion-parameter AI models, impacting various sectors like SaaS, Web3, and infrastructure.
Nvidia's advancements, especially in GPU performance, are challenging Moore's Law, leading to real-time AI applications, tokenized compute, and powering Web3's growth.
The NVLink Spine represents a convergence of technology and economics, enabling tokenized infrastructure, on-chain compute marketplaces, and emphasizing the importance of control over AI infrastructure.

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Medium

2.5k

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“Continuous Integration: The Secret to Shipping Software Without the Stress”

Continuous Integration (CI) is crucial for controlled progress and avoiding chaos in software development.
Teams without CI spend 40% more time fixing integration bugs than writing new features due to merge conflicts.
CI enforces consistent environments, reducing productivity drains from context switching.
Mastering CI helps teams ship software faster, improve sleep quality, and reduce time spent on merge conflict resolutions.

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Medium

2.4k

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No, the Code Doesn’t Speak for Itself

Some developers believe that self-documenting code is enough, but in reality, it can be like a cryptic novel missing half its pages.
Relying solely on self-documenting code can lead to confusion and frustration for new developers trying to understand the codebase.
Neglecting to provide comments, READMEs, and architecture diagrams can hinder the comprehension of the code and make it challenging for others to work with.

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Medium

265

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Testing Strategies That Actually Work: How to Build Confidence in Every Release

Continuous Delivery authors, Jez Humble and David Farley, emphasize the importance of transforming testing into a strategic pillar for reliable software delivery.
Humble and Farley introduce testing quadrants that structure the testing strategy into four quadrants (Q1, Q2, Q3, Q4), highlighting the significance of addressing all quadrants.
Shift-left testing is crucial for reducing the cost of bug fixes by integrating testing early in the development cycle, with suggestions like Test-Driven Development (TDD) and Behavior-Driven Development (BDD).
Aim for 80% code coverage for critical components, use tools like Cucumber or SpecFlow, and implement a test automation pyramid for streamlining testing efforts as suggested by Humble and Farley.

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Medium

377

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12 Essential Flutter Widgets That Will Transform You From Beginner to Pro Developer

Understanding core Flutter widgets is crucial for developers to transition from beginners to professionals.
Focusing on mastering 12 essential widgets, which comprise 80% of successful Flutter apps, is more beneficial than trying to memorize every widget in the documentation.
Knowing the right widgets to use can significantly impact the efficiency and success of a Flutter project.
Mastering these fundamental widget patterns can streamline development processes and reduce frustrations for developers.

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