Creed Technology

17/10/2026

Are Big Tech Giants Building the Future or Limiting It?

Companies like Google and Microsoft have built powerful ecosystems that shape the global technology industry. But as these giants continue to expand their influence, an important question arises.

Are smaller companies getting a fair opportunity to innovate, compete and grow?

When resources, infrastructure, platforms and market power remain concentrated in a few major corporations, startups may struggle to compete. The long term success of the technology industry depends not only on the growth of large companies but also on the opportunities they create for smaller innovators.

If big tech companies want sustainable growth, they should help build an ecosystem where startups can access affordable infrastructure, fair competition and the tools they need to succeed.

Can the biggest companies continue to grow sustainably if smaller companies are not given the opportunity to grow alongside them?

What is your perspective?

16/10/2026

15/10/2026

GitHub vs Higgsfield. Two Powerful Tools With Different Purposes.

Technology is evolving rapidly and modern professionals need more than just coding skills. Understanding the right tools can improve productivity and open new opportunities.

GitHub is an essential platform for software developers. It helps you store and manage code track changes collaborate with other developers review contributions and manage software projects. With GitHub Actions developers can also automate testing and deployment workflows. Whether you are building websites mobile applications or AI systems learning GitHub is a valuable step toward becoming a professional developer.

Higgsfield serves a different purpose. It is an AI powered creative platform designed to generate images and videos. Developers entrepreneurs marketers and content creators can use it to create product demonstrations promotional videos visual concepts and engaging social media content without relying entirely on traditional production methods.

Both tools can be valuable but their importance depends on your goals. GitHub helps you build maintain and collaborate on software projects. Higgsfield helps you communicate ideas through AI generated visual content.

If your goal is to become a professional software developer prioritize Git and GitHub first. If you also want to build a personal brand promote your products or create engaging visual content Higgsfield can be a useful addition to your skill set.

The future belongs to professionals who know how to combine technical skills with the right AI tools.

Which one is more important for your work today. GitHub for development or Higgsfield for creativity.

14/10/2026

Linus Torvalds Uses Claude Code For Linux Kernel

A historic moment for the tech world. The creator of Linux has confirmed using Anthropic's AI coding assistant Claude Code for Linux kernel development.

Branch name is noref-filemap-read-with-llm pushed to his personal Linux repository on October 10. The branch contains 8 experimental patches that fix a long standing scalability bottleneck in the Linux page cache.

The problem was that when multiple threads do small reads from the same cached file, the kernel has to update folio reference counters which causes cache line bouncing between CPU cores.

The solution designed with Claude Code uses RCU grace period to allow reading from page cache without taking folio references.

Performance results measured on Linus own laptop with Intel Core i7-8565U 4 cores 8 threads:

8 threads reading 16 bytes from same file went from 9.9 million to 30 to 33 million reads per second. Kernel cycles per read reduced from 2950 to 725. Load contention reduced by more than 99 percent.

Linus himself mentioned in the commit message that the code, the test programs, the review and the first draft of the cover letter were done with Claude Code under his direction while measurements were run on his machine.

Important note: These patches are still experimental and are not merged into the mainline Linux kernel yet. They are based on Linux 7.3-rc6 and have been tested only on a single laptop.

This shows that AI is not replacing engineers, it is making the best engineers even faster.

13/10/2026

Are years old programmer problems finally solved yes for a long time programmers had one big problem that code worked on one laptop but failed on another system because of different libraries and settings this was called it works on my machine problem and managing many apps on servers was very hard and slow

Docker solved the first part Docker is like a lunch box you pack your code with all its libraries and settings inside one container called image and then this container runs same everywhere whether laptop or server or cloud so no more environment issues it is lightweight and fast

Kubernetes solved the second part when you have hundreds of containers you need a manager Kubernetes is that manager it decides where to run containers if one container fails it creates new one if traffic increases it adds more containers and it balances load on all servers

So Docker packs the apps and Kubernetes manages them together they ended the old deployment headaches

12/10/2026

Which Programming Language Has Become More Important in the Age of AI?

Python has become one of the most important programming languages in the AI era. But why?

Artificial intelligence has changed the way we build software. From AI chatbots to intelligent agents and automation systems Python is playing a major role in this transformation.

Python is widely used in machine learning deep learning data science and generative AI.

Most popular AI frameworks and libraries such as PyTorch TensorFlow and Hugging Face offer strong support for Python.

Another major advantage is its simple syntax which allows developers to build AI applications faster and focus more on solving real problems.

AI agents automation tools large language models and intelligent applications are creating even more opportunities for Python developers.

However Python is not the only language that matters. JavaScript and TypeScript remain essential for web applications while C and C++ are important for performance critical systems and AI infrastructure.

In my opinion Python is one of the smartest languages to learn today if you want to work in AI and automation.

What do you think? Will Python dominate the future of programming or will another language become more important in the AI era?

11/10/2026

Swift The Future of iOS Development

Apple created Swift to make application development safer faster and more modern. Objective C had powered Apple software for years but its complexity and potential programming errors created a need for a better approach.

Swift introduced a cleaner syntax strong type safety and modern programming features that help developers write reliable and maintainable code.

One of its most useful features is optionals. Imagine your application requests a user's profile from a server but the response contains no user data. Swift allows developers to check for missing values and handle them safely instead of accessing data that does not exist.

Swift also offers high performance and powerful compiler optimizations. It is designed for building applications across iOS macOS watchOS and other Apple platforms.

Its readable syntax makes development easier while its safety features help reduce common programming mistakes. These advantages make Swift an important language for modern Apple development.

In my opinion the future of application development is not just about writing code faster. It is about building secure reliable and high performance applications with clean and maintainable code.

Swift represents this modern approach and continues to play a major role in the Apple ecosystem.

Do you think Swift will eventually replace Objective C in most new Apple applications or will Objective C remain important for legacy systems?

10/10/2026

Is UI/UX Design Dead or Evolving in the Age of AI?

AI is changing the way we design digital experiences. But does this mean UI/UX designers are becoming obsolete?

Tools like Google Stitch, Figma AI, Uizard, and Galileo AI are transforming how designers create interfaces, generate layouts, and turn ideas into working prototypes.

Today AI can generate UI designs from simple text prompts. Tasks that once took hours can now be completed in minutes.

But great UI/UX design is more than creating attractive screens. It requires understanding user behavior, solving real problems, accessibility, usability, and human psychology.

The future belongs to designers who combine creativity and UX thinking with AI-powered tools.

What do you think? Will AI replace UI/UX designers or make them more powerful than ever?

Share your thoughts below.

09/10/2026

Can Linux Ever Match Windows in Desktop UX? 🐧

Linux has come a long way. Distros like Ubuntu, Fedora, Linux Mint and desktop environments like KDE Plasma and GNOME offer impressive graphical experiences.

But can any Linux desktop truly match Windows in terms of visual consistency, ease of use, hardware compatibility, application support and the overall user experience?

Is Linux already at that level, or is there still a gap that needs to be filled?

What do you think? Can Linux deliver a complete desktop experience that competes with Windows at its best?