#GitHub Pro pricing

[5toptrestedwebsiteoldgithu]

5 Top Trested Web Site Old GitHub Accounts In 2025

Buy GitHub Accounts.If you are a developer, you must have a GitHub account. Buy GitHub accounts. Because GitHub is the world’s biggest code repository. Most developers use GitHub to exchange code and collaborate with others. The old GitHub account works well. You may buy new and existing GitHub accounts from us at extremely affordable prices with complete confidence. Thank you!

[chonghammack]

[govindhtech]

Google Jules Agent: Google’s Asynchronous Coding Agent

Search Jules coding assistance

Google developed asynchronous agentic coding help Jules. After debuting in Google Labs in December, it entered public beta on May 20, 2025, and anyone with the Gemini model can use it without waiting.

Google Jules Agent frees developers to write code and pursue other interests by handling tedious coding tasks. An autonomous agent reads code, understands purpose, and completes tasks—not as a co-pilot or code-completion sidekick.

Jules functions as follows:

Jules operates in the background, letting you focus on other work.

Integration with Repositories: It connects effortlessly to those you already have. Choose your GitHub branch and repository to write a detailed Google Jules Agent prompt. A future feature will allow GitHub task assignment using the “assign-to-jules” label in an issue.

Secure Cloud Environment: Jules clones your repository to a secure Google Cloud VM to fully understand your project. This cloud virtual machine handles several requests in simultaneously.

Creates task plans using Gemini 2.5 Pro: Google Jules Agent uses the latest Gemini 2.5 Pro model. This gives it significant code reasoning skills to swiftly and accurately manage complex, multi-file updates and concurrent activities.

Task execution: Jules performs tasks like: ◦

Bug fixes

Creating tests

Updating dependencies

Fixing code (potentially referencing “Jed’s Code” internally)

Creating new features

Converting Next.js projects to utilise the app directory.

Google Jules Agent process is obvious. A completed task shows its strategy, reasoning, and changes. These code improvements are simple to approve. Jules illustrates its plan before revisions. Workflow includes connecting to GitHub, making a branch, starting a task, accepting Jules' plan, offering input while it completes tasks, and monitoring activity from a panel.

Features of Google Jules Agent

It highlights these key features:

GitHub Integration: Jules works immediately with GitHub.

User Steerability: Change the plan before, during, and after execution to control your code.

Audio Summaries: Jules creates an audio changelog of recent contributions to make project history listenable.

Real codebases: Google Jules Agent uses your project's context without a sandbox.

Jules is private by default and doesn't train on your private code, so your data is separated in the execution environment. Google's privacy policies apply.

Limits and use

Google Jules Agent is free in public beta, but with limits. Pricing should be announced after beta. Start using Jules and read its documentation for usage constraints.

The beta's use data will help us:

Increase system and task quality

Recognition of real-world processes

Instruct future price models

Task limits

Users have these default restrictions:

Three tasks at once

Five daily chores

Five daily codecasts

If you exceed these limits, Jules will inform you and prevent new tasks until your quota is reset.

When limits are reached:

No new task button.

You can evaluate or manage ongoing tasks since a tooltip or error message explains why.

No changes to feedback or task history.

Requesting bigger limits

Requesting bigger limits

If you use Jules daily for development or have a larger team, you will request more limits.

Requesting greater limits:

[ameliasoulturner]

Your 2025 Roadmap to Becoming an AI/ML Pro and Landing That Dream Job

If you're reading this, chances are you’ve heard the buzz: artificial intelligence and machine learning are changing the world. From self-driving cars to ChatGPT writing college essays (I’m not saying I condone it), AI is no longer a futuristic dream—it’s right here, right now. And if you’re thinking about jumping into the field, let me tell you something important: there’s never been a better time to start than 2025.

But where do you begin? How do you go from not knowing what “gradient descent” even means to scoring a real, paying job in AI or ML? Whether you're a college student, a career switcher, or just plain curious, this article will lay out your step-by-step roadmap to mastering AI/ML and getting hired. No fluff. No jargon overload. Just the good stuff.

Let’s break it down.

Step 1: Start with the “Why”

Before we dive into Python, TensorFlow, or data lakes, take a step back and ask yourself: why AI or machine learning?

Are you fascinated by how Netflix knows what you want to watch before you do? Do you want to build the next breakthrough medical diagnostic system? Or maybe you just want a job that pays six figures and lets you work in sweatpants. All are valid.

Knowing your "why" helps you stay motivated when the math gets messy or your model accuracy tanks at 47%. Spoiler: it will, and that’s okay.

Step 2: Learn the Basics (No, You Don’t Need a PhD)

Let’s bust a myth right now: you do not need a PhD to get into AI or ML. Sure, some roles require deep research experience, but most jobs in the real world need problem solvers, not paper publishers.

Here’s what you need to get started:

Python: The unofficial language of AI. Easy to learn, powerful to use.

Math fundamentals: Linear algebra, probability, statistics, and calculus. You don’t need to master them all at once—just understand enough to know what’s happening behind the scenes.

Data handling: Learn to clean, analyze, and visualize data using libraries like Pandas and Matplotlib.

Basic machine learning: Get hands-on with Scikit-learn. Train a model. Test it. Rinse and repeat.

Platforms like Coursera, edX, Udemy, and freeCodeCamp offer beginner-friendly courses. Andrew Ng’s ML course on Coursera is still the gold standard—and guess what? It’s free.

Step 3: Dive into Real Projects (Even If You Don’t Know What You’re Doing Yet)

Theory’s great, but nothing beats learning by doing. Start building small projects. Don’t wait until you “know enough”—you’ll learn more by making mistakes than by watching tutorials all day.

Here are some beginner-to-intermediate project ideas:

Predict housing prices using regression models.

Classify images of cats vs. dogs.

Build a spam filter using natural language processing.

Create a recommendation system for books or movies.

Push your code to GitHub. Write about your projects on Medium or LinkedIn. This not only reinforces what you learn but also shows potential employers that you’re serious.

Step 4: Learn Deep Learning and AI Frameworks

Once you’ve got the basics down, it’s time to step into the world of neural networks.

Focus on:

Deep learning basics: Understand what neural networks are and how they work.

Keras and TensorFlow: Great for beginners. PyTorch is equally popular and used heavily in research.

CNNs and RNNs: Used for image and sequence data respectively.

Transformers and LLMs: These power tools like ChatGPT and are shaping the future of AI.

There are fantastic free courses like the Deep Learning Specialization by Andrew Ng and Fast.ai’s deep learning course that walks you through building real models, fast.

Step 5: Get Familiar with the Tools of the Trade

Just like carpenters have their hammers and saws, AI pros have their own toolkit. These are the tools hiring managers expect you to know:

Jupyter Notebooks: Perfect for data exploration and experimentation.

Git and GitHub: Version control and portfolio showcase.

Cloud platforms: AWS, GCP, and Azure offer free tiers where you can train models.

Docker and APIs: For deploying and sharing your work.

Don’t stress about mastering them all on day one. Add them gradually to your workflow as your projects grow.

Step 6: Build a Killer Portfolio

Here’s the secret: a great portfolio beats a fancy degree.

What should you include?

3-5 polished projects that show a range of skills—classification, NLP, image processing, recommendation systems.

Problem-solving focus: Employers love real-world impact. Try to solve problems in industries you care about—healthcare, finance, e-commerce, etc.

Write about your work: Blog posts, walkthrough videos, GitHub READMEs. Make it easy for recruiters to see how you think.

If you can show that you understand the business problem, chose the right model, and communicated the results clearly, you’re golden.

Step 7: Get Involved in the Community

AI and ML are fast-moving fields. What’s hot today could be old news tomorrow. One of the best ways to stay updated—and grow—is to engage with the community.

Here’s how:

Follow AI influencers on X (formerly Twitter), LinkedIn, and YouTube

Join AI subreddits like r/MachineLearning and r/learnmachinelearning

Attend virtual meetups, hackathons, and AI conferences

Contribute to open-source projects

You'll learn faster, meet people who can refer you to jobs, and maybe even land a mentor or two.

Step 8: Tailor Your Resume and LinkedIn for AI Jobs

You’ve got the skills. You’ve got the projects. Now let’s package it right.

Resume tips:

Use keywords from job descriptions (e.g., “machine learning”, “NLP”, “model deployment”)

Highlight project outcomes, not just tech stacks

Mention relevant certifications and courses

LinkedIn tips:

Write a short, compelling summary that explains what kind of problems you solve with AI

Feature your projects and GitHub repo

Engage with AI content and connect with recruiters

Step 9: Apply Strategically—and Don’t Wait to Feel “Ready”

Imposter syndrome is real. But here’s the deal: you won’t ever feel 100% ready—and that’s normal.

Start applying to entry-level roles, internships, apprenticeships, and remote freelance gigs. Use platforms like:

LinkedIn Jobs

AngelList (for startups)

Wellfound

AI-focused job boards like ai-jobs.net

Customize your resume and cover letter for each job. And keep a spreadsheet to track your applications and follow-ups.

Step 10: Keep Leveling Up After You Get the Job

Once you land a role, the learning doesn’t stop.

AI is evolving rapidly in 2025. New models, new frameworks, new ethical concerns—it’s a field in motion.

Stay sharp by:

Subscribing to newsletters like The Batch or Import AI

Reading new AI research papers (try arXiv-sanity)

Taking specialized courses in areas like reinforcement learning, AI ethics, and generative models

Bonus tip: If you’re aiming for big tech, learn system design and start practicing AI interviews. Sites like LeetCode and Interviewing.io are gold.

Wrapping It All Up

So, can you go from AI newbie to pro in 2025? Absolutely. But it takes focus, curiosity, and the willingness to get your hands dirty.

The path isn’t a straight line. You’ll hit walls. You’ll debug weird errors at 2 AM. But if you stick with it, build real things, and stay connected to the community, you’ll be amazed how far you can go in a year.

[advisoryoutlook]

Anthropic Launches Claude 4: A Breakthrough for AI Coding and Intelligent Agents

Anthropic has introduced its newest AI model family, Claude 4, promising significant advances for developers building next-generation AI assistants and coding tools. The lineup features two flagship models: Claude Opus 4, the powerful coding specialist, and Claude Sonnet 4, designed as a versatile all-rounder for everyday AI tasks.

Claude Opus 4: Setting New Standards in AI Coding

Anthropic touts Claude Opus 4 as its most powerful AI model to date and the leading AI for coding worldwide. It has topped key industry benchmarks, scoring 72.5% on the SWE-bench and 43.2% on Terminal-bench tests. The model is engineered for long, complex tasks requiring sustained focus, enabling continuous operation for hours without loss of performance. This endurance marks a major step forward for AI agents tackling challenging coding and research problems.

Claude Sonnet 4: The Everyday AI Workhorse

While Opus 4 targets heavy-duty tasks, Claude Sonnet 4 is tailored for broad daily use cases with improved reasoning, instruction-following, and code generation capabilities. Early user feedback is highly positive: GitHub plans to adopt Sonnet 4 as the foundation for their new coding agent in GitHub Copilot, praising its agentic performance. Other tech observers highlight its accuracy, problem-solving, and near-elimination of code navigation errors — critical for streamlined software development.

Flexible ‘Hybrid’ Modes Enhance Developer Experience

Both Claude Opus 4 and Sonnet 4 offer hybrid operational modes, balancing quick responses with a deeper reasoning mode for complex tasks. This advanced reasoning feature is included in paid Anthropic plans (Pro, Max, Team, Enterprise), while Sonnet 4’s extended thinking mode will also be accessible to free users, broadening access to top-tier AI capabilities.

New Developer Tools to Accelerate AI Innovation

Anthropic is releasing additional API tools to empower developers:

Code Execution Tool: Enables models to run code dynamically, expanding interactive AI applications.

MCP Connector: Standardizes context exchange between AI assistants and software environments for seamless integration.

Files API: Simplifies AI interaction with files, enhancing real-world usability.

Prompt Caching: Allows caching prompts for up to one hour, boosting efficiency for repeated queries.

Leading Performance Without Price Hikes

Claude 4 models dominate real-world software engineering benchmarks like SWE-bench Verified, showcasing strong coding, reasoning, multimodal, and agentic task capabilities. Despite this leap, pricing remains stable: Claude Opus 4 is priced at $15 per million input tokens and $75 per million output tokens, while Claude Sonnet 4 costs $3 per million input and $15 per million output tokens.

Both models are available through Anthropic’s API and integrated into major platforms like Amazon Bedrock and Google Cloud’s Vertex AI, making them easily accessible for businesses and developers worldwide.

[latestaireviews]

Top Generative AI Tools in 2025: Features, Use Cases & Pricing

Generative AI continues to reshape industries by automating creativity, enhancing productivity, and enabling personalized user experiences. Here’s a comprehensive look at the top generative AI tools of 2025, including their key features, use cases, and pricing.

1. ChatGPT 4o – by OpenAI

Features: Text, image, audio, and code generation; memory-enabled interactions; GPT-4 Omni model.

Use Cases: Writing content, programming, customer support, tutoring.

Pricing:

Free plan with GPT-3.5

ChatGPT Plus: $20/month (includes GPT-4o)

Pro (API/Enterprise): Custom pricing for large-scale use

2. Claude 3.5 Sonnet – by Anthropic

Features: Ethical AI with strong reasoning and long context handling (100K+ tokens).

Use Cases: Legal drafting, education, multilingual support, business writing.

Pricing:

Free access on claude.ai

API pricing: approx. $3/million input tokens, $15/million output tokens

3. Gemini 2.5 Pro – by Google

Features: Multimodal (text, image, audio, code), tightly integrated with Google Workspace.

Use Cases: Document summaries, coding, slides, Sheets automation.

Pricing:

Gemini Advanced: $19.99/month (with Google One AI Premium)

Workspace Enterprise: $30–36/user/month

4. DALL·E 3 – by OpenAI

Features: AI image generation from text, inpainting, editing via ChatGPT.

Use Cases: Ad banners, concept art, social media visuals.

Pricing:

Included in ChatGPT Plus ($20/month)

API usage: ~$0.04 per image

5. Midjourney

Features: Artistic image generation with stylized, high-resolution output.

Use Cases: Product design, NFTs, book covers, branding.

Pricing:

Basic: $10/month

Standard: $30/month

Pro: $60/month

Mega: $120/month

6. Sora – by OpenAI (Beta Phase)

Features: Text-to-video with realistic animations, scenes, and transitions.

Use Cases: Ad creation, video storytelling, explainer videos.

Pricing:

Early access with GPT-4o Pro plan ($20–$200/month)

API pricing TBD

7. ElevenLabs

Features: Hyper-realistic AI voice generation with emotional tone and multilingual support.

Use Cases: Audiobooks, dubbing, voiceovers, accessibility.

Pricing:

Starter: $5/month

Creator: $22/month

Professional: $99/month

Enterprise: Custom

8. GitHub Copilot – by GitHub (Microsoft)

Features: Code auto-completion, inline documentation, error suggestions.

Use Cases: Web & software development, learning to code.

Pricing:

Individuals: $10/month

Business: $19/month

Enterprise: $39/user/month

9. Microsoft Copilot 365

Features: AI embedded in Word, Excel, PowerPoint, Outlook, and Teams.

Use Cases: Document drafting, financial modeling, email writing, meetings.

Pricing:

Copilot Pro: $20/month

Microsoft 365 with Copilot: $30–$36/user/month

10. Cohere Command-R+

Features: Enterprise-focused LLMs for summarization, retrieval-augmented generation (RAG), and search.

Use Cases: CRM, customer service, enterprise data handling.

Pricing:

Free tier available

Pay-as-you-go for API usage (e.g., $0.4/million tokens)

🔚 Conclusion

In 2025, generative AI tools are not only more powerful but more accessible. Whether you're a creator, developer, business owner, or student, there's a tool designed to enhance your productivity, creativity, or automation goals.

Pro Tip: Choose based on your workflow needs — text (Chat GPT, Claude), visuals (Mid journey, DALL·E), video (Sora), code (GitHub Copilot), or enterprise AI (Microsoft, Cohere).

[marketingprofitmedia]

Genio App Review – Build Real Website Using Just by Talking In 12 Seconds

 Welcome to my Genio App Review. This AI-driven tool builds functional websites through voice prompts in mere seconds. Imagine describing your website needs and seeing it come to life instantly. No coding skills are necessary. With Genio, anyone can launch a web design agency solo. Genio App transforms the world of web design.

Its voice-to-website engine generates real code from simple spoken commands. This revolutionary tool supports over 80 languages and offers editable code for customization. Users can publish sites instantly on a subdomain and sync projects with GitHub. The built-in AI even crafts compelling site copy.

With Genio’s agency license, users can offer web services, keeping all profits. Speed, ease of use, and scalability make Genio an ideal choice for budding entrepreneurs and seasoned professionals alike. Experience website creation like never before with Genio.

Introduction To Genio App

Genio App innovative tool lets users build real websites by talking. Imagine creating a fully functional website in just 12 seconds. Genio App makes it possible, transforming spoken words into real HTML, CSS, and JavaScript.

What Is Genio App?

Genio App, also known as Genio AI Agent, is designed for those in web design and development. It serves agencies, freelancers, and anyone needing a quick, efficient site-building solution. The app turns voice prompts into websites without coding. Users describe what they need, and Genio creates it, supporting over 80 languages. This tool is perfect for one-person web agencies or those with no coding skills.

Genio App Review: Overview of Product

Product Creator: Seun Ogundele

Product: Genio App

Launch Date: 2025-May-01

Launch Time: 11:00 EDT

Front-End Price: $17 One-Time Payment! (Limited-Time Access)

Official Site: Click Here To Visit Official Salespage

Product Type: Training Courses

Support: Effective and Friendly Response

Recommended: Highly Recommended

Bonuses: YES, Huge Bonuses

Skill Level Required: All Levels

Discount Coupon: Use Code “GNO5OFF” for $5 OFF or code “GNO20OFF” for 20% Off Full Funnel

Refund: YES, 30 Days Money-Back Guarantee

Genio App Review: About Authors

Meet Seun Ogundele, the brilliant inventor of Genio App. Seun’s innovative spirit and forward-thinking attitude to technology have transformed the area of software development with his pioneering work. Seun has created a sophisticated platform that enables users to easily builds high profitable essential business tools using the power of artificial intelligence.

Check out some of his previous successful projects, including OriginSuite, AI Toker, AzonKDP, Qai App, HeyBooks, AI Gigz Hub, GamPAL, WP Genie, Artisia, AvaTalk, RoboCHAT, ZapAI, Kustomizee, GoBuildr, FlowCart, AI Assist, SendALL, ScribAI, and SwipeFunnel, and many others.

Genio App Review: Key Features of Genio App

Voice-To-Website Engine

Just describe what you want and Genio writes real HTML, CSS, and JavaScript from scratch. Not mockups. Not templates.No Drag N Drop BS. Code. Design. Copy. All done in 12 seconds flat.

Edit Websites Just By Talking

No drag-and-drop. No coding. No stress. Just describe what you want to change — with text or voice — and Genio updates your website instantly. “Change the headline to ‘Start Your Fitness Journey’.” “Remove the pricing section.” “Make the background black and center the form.” You speak. Genio edits. It’s that simple

Powered By Gemini 2.5 Pro

You’re not using any average AI model here. You’re using the same dev brain Google trained for its internal teams. It thinks like a senior engineer, writes like a conversion expert, and executes like a 10x team

Live Build Preview

As you speak, your website literally builds itself right in front of your eyes. Every section appears in real time. You watch your idea become reality… before your coffee’s done brewing

Instant Website Publishing!

No hosting? No domain? No problem. With Genio, your website goes live on our subdomain in seconds — no setup, no extra cost, no expiration. Hit “Publish” once, and your site stays live for life. Perfect for demos, clients, side hustles, or flipping fast.

Built-In Copywriting AI

Headlines. CTAs. Testimonials. Body copy. Genio writes everything in your voice, for your niche, in seconds. No more writer’s block. No more hiring copywriters. No more guesswork.

One-Click ZIP Export

Your website. Your code. Your assets. Download the full project instantly and use it however you want no limits, no extra fees, and no locked sections

Editable HTML, CSS, and JS Code

Want to tweak the layout or add custom effects? Every line of code Genio writes is yours to edit, style, or hand off to a dev. It’s real code not some builder fluff

Prompt History + Auto-Save

Never lose a build. Genio stores every project and remembers every prompt. You can reload, reuse, remix, and relaunch anytime

GitHub Integration

Click once and your entire build syncs directly to your GitHub repo. It’s like having your own dev team deliver finished work straight to version control..

Multi-Language Site Generation

Want to build in Spanish, German, Arabic, and French? Genio understands and generates websites in 80+ languages complete with localized copy.

Not Just Websites Apps, Funnels, Blogs, Tools, and More

You’re not limited to pages. Genio builds calculators, quiz apps, portfolios, dashboards, landing pages, SaaS MVPs… anything you can describe

Zero Monthly Fees. Use It Forever.

Stop paying $297/month to a bunch of tools that barely work together. Pay once and get everything, forever. No surprises, no hidden fees, no limits.

Agency Mode Included (No Extra Charge)

Use Genio for clients, not just yourself. Give them their own dashboards, charge what you want, and keep 100%. You’ll look like a SaaS company without writing a single line of code

Flipping Sites Has Never Been This Easy

Genio turns your voice into $299 websites.

You talk.

The AI builds.

You get paid.

Build in 12 seconds. List on Fiverr, Freelancer, Flippa and cash out. This isn’t theory. It’s print-on-demand websites.

Genio App Review: How Does It Work?

Build, Launch, And Sell Stunning (Websites, Blogs, Apps, Landing Pages, SaaS, Funnels) Just By Talking

Step #1: Create Your Genio Account

Click on any of the buttons on this page, and instantly get full access to Genio

Step #2: Speak To Genio What You Want To Build

Click on any of the buttons on this page, and instantly get full access to Genio

Step #3: Deploy & Sell

Within seconds, Genio will give you exactly what you asked for if not 10x better.

Verify Users Say About Genio App

Genio App Review: Who Should Use It?

Affiliate Marketers

CPA Marketers

Content Creators

Blog Owners

Complete Beginners

Freelancers

Agencies

SaaS Founders

Flippa Hustlers

Service Providers

Works For Anyone

Genio App Review: OTO’s And Pricing

Genio App offers a unique approach to web design with its voice-to-website engine. It promises to transform the way websites are built by eliminating the need for coding skills. The pricing structure is designed to be cost-effective, providing users with substantial savings compared to traditional web design methods.

Subscription Oto and Pricing Tiers

The Genio App features a straightforward pricing model. Users enjoy lifetime access to its powerful tools with a one-time payment of $17. This means no ongoing monthly fees, making it an attractive option for those who want to keep costs down. Here’s a quick overview:

Add My Bundle Coupon Code “GNO20OFF″ – For 20% Off Any Funnel OTO Below

Front-End (FE): Genio $17

OTO1: Genio Unlimited ($47)

OTO2: Genio Done For You ($197)

OTO3: Genio Automation ($27)

OTO4: Genio Profit Maximizer ($47)

OTO5: Genio Limitless Traffic ($97)

OTO6: Genio Cloned Affiliate Profits ($67)

OTO7: Genio Mobile Payday ($47)

OTO8: Genio Reseller ($197)

OTO9: Genio DFY Profit Site ($47)

Genio App Review: Money Back Guarantee

Try Our 30 Days Iron Clad Money Back Guarantee

We trust our app blindly. We know it works, after all, we have been using it for a year, and not just us. But hey, I know you probably don’t know me, and you may be hesitant, and I understand that. A bit of skepticism is always healthy. However, I can assist you by providing immediate access to Genio App.

Use it and enjoy its features to the fullest. And if, for any reason, you don’t think Genio is worth its weight in gold, Please contact our 24/7 customer support, and we will gladly refund every single penny to you. There are no questions to ask. Worst case scenario, you get Genio and don’t make any money. We will refund every penny you’ve paid.

Genio App Review: Pros and Cons

Advantages: Efficiency, Accessibility, And Usability

Efficiency

Build websites in 12 seconds.

No coding or design skills required.

Instant publishing on a provided subdomain.

Accessibility

Supports over 80 languages.

Voice-to-website engine simplifies creation.

One-time payment, no recurring fees.

Usability

Editable HTML, CSS, and JS code.

Live build preview with real-time updates.

GitHub integration for easy project sync.

Limitations: Potential Drawbacks And Areas For Improvement

Customization: Limited design flexibility for advanced users.

Learning Curve: Requires understanding of voice commands.

Language Support: Some languages may have limited functionality.

Integration: May lack certain third-party integrations.

While Genio offers impressive features, it has areas needing refinement. Its strengths lie in speed and simplicity. Yet, enhancements in customization and integration could enhance its utility.

My Own Customized Exclusive VIP Bonus Bundle

***How To Claim These Bonuses***

Step #1:

Complete your purchase of the Genio App: My Special Unique Bonus Bundle will be visible on your access page as an Affiliate Bonus Button on WarriorPlus immediately after purchase. And before ending my honest Genio App Review, I told you that I would give you my very own unique PFTSES formula for Free.

Step #2:

Send the proof of purchase to my e-mail “support@marketingprofitmedia.com” (Then I’ll manually Deliver it for you in 24 HOURS).

Genio App Free Premium Bonuses

Frequently Asked Questions (FAQ’s)

Q. How Does Genio App Create Websites?

Genio app uses voice commands to build websites. Speak your ideas, and it converts them into a site quickly.

Q. Can Genio App Really Build A Site In 12 Seconds?

Yes, Genio app can create a basic website in 12 seconds using your spoken instructions. It’s fast and efficient.

Q. What Types Of Websites Can Genio App Build?

Genio app can build various sites like blogs, business pages, or portfolios. It adapts to your needs easily.

Q. Is Genio App User-friendly For Beginners?

Absolutely, Genio app is designed for easy use. Its voice command feature makes it accessible for everyone.

Q. Does Genio App Require Coding Skills?

No coding skills are needed with Genio app. Just talk, and it transforms your ideas into a website.

Q. Is Genio App Available On All Devices?

Genio app works on most devices. Check compatibility on their website for specific device requirements.

Final Verdict

Genio App simplifies website creation with its voice-to-website engine. No coding or design skills are needed. Build and publish websites in seconds using this AI-powered tool. Its multi-language support and editable code make it versatile. Perfect for those looking to start a web design agency without technical knowledge.

The lifetime access and money-back guarantee offer peace of mind. With Genio, you can create income-ready sites quickly and efficiently. Visit the product page to explore more. Start building your online presence effortlessly.

🚀 Don’t miss out guys and start your journey with Genio App today!

>>> Click Here to Get Instant Access Genio App with Exclusive Bonuses <<<

Check Out My Previous Reviews: Magicstore AI Review, Millionaire Whistleblower Review, WP AI Engine Review, Creatixio AI Review, and Traffix AI App Review.

Thank for reading my honest “Genio App Review” till the end. Hope it will help you to make purchase decision perfectly.

[avion-technology]

What Makes Ruby on Rails a Great Choice for Startups in 2025?

In the rapidly evolving startup landscape, the appropriate technology stack has the power to create or ruin your company. As 2025 draws near, Ruby on Rails (RoR) remains a popular option for business owners wishing to create scalable, powerful, and reasonably priced web apps. Ruby on Rails provides special benefits that make it the ideal framework for startup success, whether you're developing your next big idea in the middle of Chicago or anyplace else in the USA.

Our area of expertise at Avion Technologies is assisting startups in Chicago and the USA in utilising Ruby on Rails to boost development costs, accelerate growth, and reach the market more quickly.

1. Speed to Market: Launch Faster and Smarter

Startups don’t have the luxury of time. Ruby on Rails is known for its convention over configuration philosophy, which means developers can skip repetitive decisions and build applications quickly. If you're a startup founder in Chicago or anywhere in the USA, the faster you launch, the sooner you can attract users, test the market, and secure funding. With Ruby on Rails, you get rapid MVP development without sacrificing quality.

✅ Faster Prototyping ✅ Shorter Development Cycles ✅ Quicker Revenue Generation

2. Budget-Friendly Without Compromising Quality

In 2025, with rising operational costs across the USA, startups must make every dollar count. Ruby on Rails is open-source, meaning there are no hefty licensing fees. Additionally, its mature ecosystem, ready-to-use plugins (gems), and wide developer community mean you spend less on custom development and more on business growth.

💡 Pro Tip: Choosing an experienced Ruby on Rails development company like Avion Technology ensures you maximize every development hour — making your Chicago or USA-based startup leaner and more competitive.

3. Scalability That Grows with Your Business

You might be starting small, but your vision is big. Ruby on Rails offers built-in scalability features, making it easier to adapt as your startup grows. Leading tech companies that once started as small ventures — like Shopify and GitHub — chose Rails because it could handle growth without forcing costly rewrites.

If you're aiming to scale your operations in Chicago, New York, or beyond the USA, Ruby on Rails gives you a robust foundation ready for heavy user loads and complex business logic.

4. A Rich Talent Pool Across the USA and Chicago

Hiring Ruby on Rails developers is easier in 2025 than ever before. With a massive, skilled talent pool available across the USA — including tech hubs like Chicago — you won't be limited when it's time to expand your development team. RoR developers bring a wealth of knowledge, ensuring best practices, security, and innovative solutions for your startup.

Avion Technology connects you with top Ruby on Rails talent, ensuring your project stays on track and ahead of the competition.

5. Security and Stability You Can Trust

In today’s digital world, cybersecurity is critical. Ruby on Rails emphasizes secure development by default. Features like secure password hashing, SQL injection protection, and XSS (Cross-Site Scripting) prevention are built into the framework, giving your startup a head start in compliance and user trust.

Whether you're handling sensitive user data or online payments, Ruby on Rails empowers Chicago and USA startups to build secure, compliant platforms right from day one.

Why Partner with Avion Technology for Ruby on Rails Development?

At Avion Technology, we bring over a decade of experience helping startups in Chicago and across the USA turn their ideas into scalable, profitable realities. We understand the unique needs of emerging businesses and provide tailored Ruby on Rails solutions that align with your goals.

When you work with us, you get:

🚀 Custom Ruby on Rails Development

🚀 MVP Development for Startups

🚀 Ongoing Support and Maintenance

🚀 Agile, Transparent Project Management

Ready to Build the Next Big Thing?

Choosing Ruby on Rails could be the smartest move you make for your startup in 2025. If you're serious about fast, reliable, and cost-effective development, Avion Technology is ready to be your trusted Ruby on Rails partner.

📍 Proudly serving Chicago and startups across the USA. 📞 Contact us today to schedule a free consultation and kickstart your journey to success!

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Top Tech Stacks for Fintech App Development in 2025

Fintech is evolving fast, and so is the technology behind it. As we head into 2025, financial applications demand more than just sleek interfaces — they need to be secure, scalable, and lightning-fast. Whether you're building a neobank, a personal finance tracker, a crypto exchange, or a payment gateway, choosing the right tech stack can make or break your app.

In this post, we’ll break down the top tech stacks powering fintech apps in 2025 and what makes them stand out.

1. Frontend Tech Stacks

🔹 React.js + TypeScript

React has long been a favorite for fintech frontends, and paired with TypeScript, it offers improved code safety and scalability. TypeScript helps catch errors early, which is critical in the finance world where accuracy is everything.

🔹 Next.js (React Framework)

For fintech apps with a strong web presence, Next.js brings server-side rendering and API routes, making it easier to manage SEO, performance, and backend logic in one place.

🔹 Flutter (for Web and Mobile)

Flutter is gaining massive traction for building cross-platform fintech apps with a single codebase. It's fast, visually appealing, and great for MVPs and startups trying to reduce time to market.

2. Backend Tech Stacks

🔹 Node.js + NestJS

Node.js offers speed and scalability, while NestJS adds a structured, enterprise-grade framework. Great for microservices-based fintech apps that need modular and testable code.

🔹 Python + Django

Python is widely used in fintech for its simplicity and readability. Combine it with Django — a secure and robust web framework — and you have a great stack for building APIs and handling complex data processing.

🔹 Golang

Go is emerging as a go-to language for performance-intensive fintech apps, especially for handling real-time transactions and services at scale. Its concurrency support is a huge bonus.

3. Databases

🔹 PostgreSQL

Hands down the most loved database for fintech in 2025. It's reliable, supports complex queries, and handles financial data like a pro. With extensions like PostGIS and TimescaleDB, it's even more powerful.

🔹 MongoDB (with caution)

While not ideal for transactional data, MongoDB can be used for storing logs, sessions, or less-critical analytics. Just be sure to avoid it for money-related tables unless you have a strong reason.

🔹 Redis

Perfect for caching, rate-limiting, and real-time data updates. Great when paired with WebSockets for live transaction updates or stock price tickers.

4. Security & Compliance

In fintech, security isn’t optional — it’s everything.

OAuth 2.1 and OpenID Connect for secure user authentication

TLS 1.3 for encrypted communication

Zero Trust Architecture for internal systems

Biometric Auth for mobile apps

End-to-end encryption for sensitive data

Compliance Ready: GDPR, PCI-DSS, and SOC2 tools built-in

5. DevOps & Cloud

🔹 Docker + Kubernetes

Containerization ensures your app runs the same way everywhere, while Kubernetes helps scale securely and automatically.

🔹 AWS / Google Cloud / Azure

These cloud platforms offer fintech-ready services like managed databases, real-time analytics, fraud detection APIs, and identity verification tools.

🔹 CI/CD Pipelines

Using tools like GitHub Actions or GitLab CI/CD helps push secure code fast, with automated testing to catch issues early.

6. Bonus: AI & ML Tools

AI is becoming integral in fintech — from fraud detection to credit scoring.

TensorFlow / PyTorch for machine learning

Hugging Face Transformers for NLP in customer support bots

LangChain (for LLM-driven insights and automation)

Final Thoughts

Choosing the right tech stack depends on your business model, app complexity, team skills, and budget. There’s no one-size-fits-all, but the stacks mentioned above offer a solid foundation to build secure, scalable, and future-ready fintech apps.

In 2025, the competition in fintech is fierce — the right technology stack can help you stay ahead.

What stack are you using for your fintech app? Drop a comment and let’s chat tech!

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AI-Powered Development: Boosting Productivity for Coders and Testers

The software development landscape is undergoing a radical transformation, driven by artificial intelligence (AI). From automating repetitive coding tasks to enhancing test coverage, AI is reshaping how developers and testers work—making them faster, more efficient, and more innovative.

But what does AI-powered development really mean? How can coders and testers leverage AI to maximize productivity? And what are the risks and challenges?

In this deep dive, we’ll explore how AI is revolutionizing software development, the tools leading the charge, and best practices for integrating AI into your workflow.

1. How AI is Transforming Coding

a) AI-Assisted Code Generation

Tools like GitHub Copilot, Amazon CodeWhisperer, and Tabnine use large language models (LLMs) to suggest code snippets, complete functions, and even generate entire modules based on natural language prompts.

Pros:

Reduces boilerplate code writing.

Speeds up prototyping.

Helps junior developers learn best practices.

Cons:

May produce insecure or inefficient code.

Over-reliance can hinder deep understanding.

b) AI-Powered Debugging & Optimization

AI can analyze code for bugs, performance bottlenecks, and security vulnerabilities. Tools like DeepCode (now Snyk Code) and SonarQube use machine learning to detect anomalies.

Example:

AI can predict memory leaks in C++ or race conditions in multi-threaded applications.

c) Natural Language to Code

With models like OpenAI’s ChatGPT and Google’s Gemini, developers can describe what they need in plain English, and the AI generates executable code.

Use Case:

A developer asks, "Create a Python function to fetch stock prices using Yahoo Finance API," and the AI writes the code.

2. AI in Software Testing: Smarter, Faster, More Reliable

a) Automated Test Case Generation

AI tools like Testim, Applitools, and Mabl can:

Auto-generate test cases based on user behavior.

Identify edge cases humans might miss.

Self-heal tests when UI elements change.

b) Visual & Regression Testing

AI-powered visual testing tools (e.g., Percy, Applitools) compare screenshots pixel-by-pixel to detect UI bugs.

Example:

If a button moves 2 pixels to the right, AI flags it—even if functional tests pass.

c) Predictive Test Selection

Instead of running all tests, AI predicts which tests are most likely to fail based on code changes (used by Google’s CI system).

3. The Future: AI-Driven DevOps & MLOps

AI is not just helping with coding and testing—it’s optimizing the entire software lifecycle:

AI in CI/CD Pipelines:

Auto-trigger builds based on risk assessment.

Optimize test suites to reduce execution time.

AI in Incident Management:

Tools like PagerDuty use AI to correlate logs and predict outages.

4. Challenges & Ethical Considerations

While AI boosts productivity, it comes with risks:

Bias in AI Models:

If trained on flawed code, AI may propagate bad practices.

Security Risks:

AI-generated code could introduce vulnerabilities.

Job Impact:

Will AI replace developers? Unlikely—but it will change their roles.

5. Best Practices for Adopting AI in Development

Use AI as a Pair Programmer, Not a Replacement – Review AI-generated code critically.

Focus on Upskilling – Learn how AI works to better control its outputs.

Combine AI with Traditional Testing – Don’t rely solely on AI for test coverage.

Monitor AI’s Impact – Track productivity gains vs. risks.

Conclusion

AI-powered development is not a distant future—it’s here. Developers and testers who embrace AI tools will see massive productivity gains, while those who ignore them risk falling behind.

However, AI is a tool, not a magic wand. The best outcomes come from combining AI’s speed with human expertise—leading to faster, smarter, and more reliable software development.

Are you already using AI in your API testing workflow? Share your experiences in the comments! Or connect with a leading AI automation testing company to explore how AI-powered testing solutions can elevate your API quality. Reach out today!

[govindhtech]

Claude Sonnet 4, Opus 4 On Google Cloud & Amazon Bedrock

Claude 4 models

The latest AI models from Amazon-backed AI safety and research business Anthropic, founded by former OpenAI researchers, are Claude Opus 4 and Claude Sonnet 4. These models launched on May 22 and 23, 2025, setting “new standards for coding, advanced reasoning, and AI agents“. Anthropic stopped investing in chatbots last year to focus on improving Claude's ability to handle complex tasks like research and coding, so the launch is a bold move away from chatbots to become a well-known AI coding platform.

Opus 4Claude

They call Claude Opus 4 the “best coding model in the world” and Anthropic's most powerful. In customer testing, it ran virtually a full workday (seven hours) independently and performed well on complex, time-consuming activities and agent processes. For complex use scenarios requiring “frontier intelligence,” use Opus 4:

Intelligent AI.

Full-stack app development and codebase refactoring.

Research synthesis, agentic search, and deep research.

Long-term independent work that prioritises expertise and precision.

Content development focusses on natural writing and humanity.

Fourth Claude Sonnet

Anthropic's mid-size Claude Sonnet 4 balances pricing and performance. Though it replaced Claude Sonnet 3.7, it is much better. It has “superior coding and reasoning,” more accurate responses, and 65% less “reward hacking.” Claude Sonnet 4 suits high-volume, broad activities like:

Fixing bugs and reviewing code.

AI assistants for real-time client communications.

Condensing market signals or dashboards requires good research.

Massive material generation and analysis.

Being a task-specific subagent in multi-agent systems.

Claude Sonnet 4 and Opus 4 are hybrid reasoning models that can answer questions quickly and allow for deeper reasoning through “extended thinking” mode. With more time to think about solutions, this prolonged thinking mode helps models perform better on difficult tasks. The models can summarise their logic in a “user-friendly” way. A new Developer Mode lets you see full thought sequences before processing.

Both models can now leverage parallel tools like online search to contact several APIs or plugins at once to speed up procedures and reduce errors. They can extract and store relevant information in local files to construct “memory files” or “tacit knowledge” over time, boosting continuity and reliability on long-term activities. The models also follow directions better.

Opus 4 and Claude Sonnet 4 scored industry-leading on the SWE-bench coding benchmark, highlighting the focus on coding. Opus 4 also performs well on Terminal Bench real-world coding tests. Performance fluctuates, therefore internal benchmarks should be taken “with a grain of salt.” In high school maths, benchmarks show regressions compared to earlier models. Even while AI models struggle to write high-quality software and sometimes make mistakes, their potential to boost productivity is driving their rapid adoption.

To help developers, Anthropic has made its Claude Code agentic command-line tool public. With Claude Code's interaction with GitHub, VS Code, and JetBrains, file edits are visible quickly. The extensible Claude Code SDK lets you create unique agents and apps. A code execution tool, MCP connection, Files API, and prompt caching are new API features.

Opus 4 and Claude Sonnet 4 are accessible via Google Cloud Vertex AI, Amazon Bedrock, and the Anthropic API. Databricks customers can use them natively. Opus 4 is part of Anthropic's premium Claude plans (Pro, Max, Team, and Enterprise), while Claude Sonnet 4 is free and paid. Claude Sonnet 4 starts at $3 per million input tokens and $15 per million output tokens, while Opus 4 starts at $15 and $75. Timely caching and batch processing save money.

Anthropic tested and assessed the models with additional experts to ensure safety, security, and dependability. They come with improved cybersecurity and harmful content identification. Opus 4 may “substantially increase” the capacity of a STEM-trained person to acquire, produce, or deploy chemical, biological, or nuclear weapons, according to internal testing. The models are evaluated against Anthropic's “ASL-3” model

Early clients like Palo Alto Networks, Replit, Cursor, Rakuten, Augment Code, and others have observed improvements in agent performance, difficult job management, coding pace, and code quality. Claude on Vertex AI accelerated Palo Alto Networks code development by 20%–30%. Opus 4 was the first to increase code quality while debugging and editing without slowing down, Block said.

Anthropic reported $2 billion in annualised sales in the first quarter of 2025, more than double the previous quarter. The company targets $12 billion in 2027. Wall Street is still investing, and Anthropic has received billions from Amazon and has a $2.5 billion credit line to cover rising development costs.

Anthropic plans to upgrade models more often to stay competitive and improve faster.

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Where can I Hire Flutter developers for app development? MAE

Nowadays, a best mobile apps is no longer a luxury but a need for every business. For companies that aim to reach their customers on both iOS and Android platforms, Flutter has become an effective and resourceful solution. Google's cross-platform offering, Flatter, enables developers to build attractive, easy-to-use applications from a shared codebase, it is also reducing development time and cost. But the success of your Flatter project depends on your development team.

Why Flutter?

Let us recap in simple terms the reasons behind preferring Flutter before moving on to hiring strategies. Here are the benefits:

Cross-Platform Development: Develop for iOS and Android using one codebase, conserving time and resources.  

Hot Reload: Observe changes immediately, speeding up the development cycle.  

Rich Widget Library: Design visually appealing and customizable user interfaces.  

Native Performance: Provides smooth and responsive performance equal to native apps.

Growing Community: A large and active community provides support and resources.  

Where to Find Flutter Developers:

Finding flutter developers requires strategy process. Here are some channels you can follow:

1. Freelance Platforms:

Websites like Upwork, Freelancer.com and Fiverr provide a large pool of freelance flutter developers. You can get an idea of ​​their experience by looking at their profiles, portfolios and client feedback.

Advantages: Large choice, fair prices, flexibility.

Disadvantages: Quality is not guaranteed, communication issues, risk of delayed projects.

2. Specialized Staffing Agencies:

Mobile app development staffing agencies can offer pre-screened Flutter developers suited to your project needs.  

Pros: re-screened talent, reducing hiring time, access to expert talent.

Cons: More expensive than freelance sites, less control over the hiring process.

3. Online Developer Communities and Forums:

Stack Overflow, GitHub, and r/flutterdev on Reddit are best places where all Flutter developers are active and work together.  

Advantages: Here you will get a chance to learn from experienced developers, and you can also assess their technical capabilities by looking at their work and posts.

Cons: Needs active engagement and networking, may not be the best for immediate hiring requirements.

4. Mobile App Development Companies (Like Mobile App Experts):

Working together with a trusted mobile app development company like Mobile App Experts gives you a complete solution. We have a team of Flutter developers who handle every step of your project, from design and coding to testing and deployment.

Pros: A special team that focuses only on your project and has a good established record.

Cons:   Increased expenses over individual freelancers.

Mobile App Experts Recommendation: Consider the long-term benefits of working with a professional company, such as shorter development times, better quality and support.

Key Considerations When Hiring Flutter Developers:

Portfolio and Experience: Review their previous projects and code samples to assess their skill level and style

Communication Skills: Ensure they are able to communicate their ideas and progress effectively.

Problem-Solving Abilities: See how well they work, how they solve problems, and how they think in new ways.

Why Choose Mobile App Experts?

As a best mobile app development company, Mobile App Experts offers a complete range of Flutter development services. We have a team of highly skilled and experienced Flutter developers who are dedicated about creating original and user-friendly mobile applications. We offer:

Custom Flutter app development

Cross-platform app development

UI/UX design

App testing and quality assurance

App maintenance and support  

If you are looking for best flutter developer company in India then the best choice for you would be Mobile App Experts, because we have a top flutter developer who will develop the app for you in the best way and we work in the lowest budget. So, contact us today and get a chance to know about our developer team.

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Claude 3.7 Sonnet: The AI Upgrade That Just Changed Everything

Claude 3.7 Sonnet is here, and it's making waves in the AI world. Released on February 24, 2025, this latest model from Anthropic brings next-level coding abilities, hybrid reasoning, GitHub integration, and even some unexpected gaming skills (yes, it's outplaying humans in Pokémon). In this episode, we're breaking down what makes Claude 3.7 Sonnet the most powerful AI yet-from its ability to toggle between lightning-fast responses and deep, methodical reasoning to its state-of-the-art performance in real-world coding tasks. Companies like Cursor, Vercel, and Replit are already using it to generate production-ready code with fewer errors, and let's just say… developers might be getting a little nervous. What We Cover in This Video: - The hybrid reasoning feature that makes this AI smarter than ever - How Claude 3.7 writes, debugs, and optimizes code better than most humans - GitHub integration-because why write your own pull requests anymore? - The Pokémon showdown that proved AI can strategize better than players - Security & bias improvements-88% better at blocking prompt injections - How you can access Claude 3.7 Sonnet today (Free, Pro, Team, Enterprise & API) Claude 3.7 Sonnet is now available on Amazon Bedrock, Google Cloud's Vertex AI, and Anthropic's API. Pricing stays the same: $3 per million input tokens, $15 per million output tokens-and yes, that includes "thinking tokens." Are we witnessing the next stage of AI evolution? Or should developers start rethinking their career plans? Let's talk. Drop a comment below, tell us what you think, and don't forget to like & subscribe for more cutting-edge AI updates. The future is moving fast-stay ahead with AI Network News. Read the full article