DEV Community: Andru Felix

Anthropic Signals Mythos-Class Models Are Getting Closer

Andru Felix — Fri, 29 May 2026 09:22:11 +0000

Anthropic says it is working toward releasing a new class of AI models that will be more capable than Opus. These future models are based on the technology behind Claude Mythos Preview, which is currently being used by a small group of organizations through the company’s cybersecurity-focused Project Glasswing initiative.

Anthropic says Mythos-level systems require stronger safeguards before public release because of their advanced cyber capabilities. The company reports progress on those protections and expects Mythos-class models to become available to customers in the coming weeks, marking the next major step beyond the Opus family.

more: https://www.anthropic.com/news/claude-opus-4-8

How AI Is Changing Website Design and Development

Andru Felix — Sun, 24 May 2026 18:42:30 +0000

The web is getting faster to build, easier to redesign, and strangely more human at the same time.

For a long time, building a website was mostly about translating ideas into layers of work. Someone wrote the copy. Someone designed the layout. Someone else turned that into code. Then another person tested it, fixed it, and cleaned up all the weird edge cases that only show up on an old iPhone or a bad Wi-Fi connection. It was slow, expensive, and a little fragile, but it was also clear who was doing what.

AI is changing that structure. Not by wiping it out overnight, but by compressing it. Tasks that used to take a designer, a developer, and a copywriter can now be started by one person with a decent prompt and a few good instincts. A homepage draft can appear in minutes. A product page can be rewritten in seconds. A layout can be regenerated until it feels “right,” which is a very modern way of saying nobody is completely sure why it works, only that it does.

That is the real shift. AI is not just making web design faster. It is changing who gets to participate.

The Barrier to Entry Just Fell

The biggest effect of AI on web development is simple: less experience is needed to get something useful on screen. That matters a lot. A founder with an idea no longer has to wait for a full product team to sketch out a first version. A freelancer can build a decent site without knowing every detail of front-end engineering. A small business can make something that looks far more polished than its budget would normally allow.

That sounds like a pure win, and in some ways it is. More people can build websites. More ideas can get tested. More businesses can show up online without spending weeks in planning meetings that mostly produce mood boards and regret.

But lowering the barrier also changes expectations. Once people see how quickly a website can be assembled, they start expecting speed everywhere. Clients want more versions. Teams want more experiments. Leaders want “just one more homepage option” as if design were a vending machine and not a process that depends on judgment.

That is where AI starts to create pressure instead of relief.

Design Is Becoming More Iterative and Less Precious

Web design used to reward a certain kind of discipline. You made decisions carefully because changing them later cost time and money. AI makes those changes cheap. That means more experimentation, but it also means less finality.

A design system can now be used to generate dozens of page variations. Headlines can be tested in bulk. Images can be swapped, resized, and rephrased almost instantly. The upside is obvious: teams can explore more ideas and learn faster. The downside is that everything starts to feel provisional. If every page can be regenerated, fewer people treat a page like a finished object.

That affects the quality of the work. Good websites often feel intentional because someone made a series of specific choices and stuck with them. AI makes it easier to produce something that is merely competent. Competent is useful. Competent is also easy to confuse with good.

That distinction matters because the internet is already crowded with competent-looking things that nobody remembers five minutes later. AI can help you make more of them faster.

Developers Are Spending Less Time on Boilerplate

For web developers, AI is most useful where the work is boring. It is good at generating starter code, translating a design into a first pass, writing repetitive components, and helping debug problems that would otherwise require a lot of trial and error. That saves time, and for many teams, time is the most valuable thing they have.

It also changes the role of the developer. The job becomes less about writing every line from scratch and more about reviewing, directing, and correcting. That sounds glamorous until you realize that reviewing machine-generated code is still work, and sometimes more annoying work than writing it yourself. The code may run, but that does not mean it is elegant, maintainable, or safe.

This is where the hype starts to collapse into reality. AI can generate a lot of usable code, but it cannot fully understand a product’s long-term needs. It does not know why a company made certain architectural choices last year. It does not care that three different teams have already built overlapping systems. It certainly does not have to live with the consequences when everything gets hard to maintain six months later.

So developers are not disappearing. They are shifting. They are spending less time on mechanical tasks and more time on judgment calls. That is good in theory. In practice, it means the people using AI well will move faster, while everyone else gets buried in faster mistakes.

Website Content Is Getting Weirder, Faster

AI is also changing the words on websites, not just the structure behind them. Product descriptions, landing page copy, support text, FAQs, and blog posts are all easier to generate now. That has made content creation faster, but it has also made a lot of the web sound strangely similar.

You can feel it immediately. The same smooth, confident, slightly bland language shows up everywhere. Everything is “seamless,” “powerful,” and “designed to help you do more.” Nothing is specific. Nothing has a point of view. It is the verbal equivalent of a hotel lobby.

Good brands will use AI as a draft tool and then edit hard. The weaker ones will publish whatever comes out first and wonder why nobody trusts them. That difference is going to matter more over time, because the web is becoming saturated with content that is technically correct and emotionally empty.

People can tell. Maybe not consciously, but they can tell.

The Best Sites Will Feel More Human, Not Less

The funny thing about AI is that it may eventually make human-made websites more valuable. When generic design becomes cheap, taste becomes expensive. When everyone can generate a respectable layout, the sites that feel sharp, weird, clear, or genuinely memorable will stand out more.

That means the job of designers and developers is not disappearing. It is getting sharper. They have to know when to use AI and when to ignore it. They have to decide what should be automated and what should feel deliberate. They have to build websites that do not just work, but also feel like someone cared enough to make choices.

That may be the biggest change of all. AI is not turning web design into a machine process. It is forcing people to think harder about the parts of web design that machines are bad at: judgment, restraint, personality, and taste.

The Web Is Getting Faster, But Not Automatically Better

AI is making website design and development faster, cheaper, and more accessible. That is undeniably useful. It is lowering the entry point for new creators and giving experienced teams more leverage. It is helping people move from idea to prototype faster than ever before.

But speed is not the same as quality. A website that can be generated quickly still needs direction. A page that looks polished still needs a point of view. A codebase that was assembled in a hurry still needs someone to own it when things break.

So AI is not replacing web design and development. It is changing the pressure on both. The tools are getting faster. The expectations are getting higher. And the people who do the best work will be the ones who understand that AI can help build the site, but it cannot decide what the site should mean.

What is vibe coding?

Andru Felix — Wed, 20 May 2026 11:44:54 +0000

Vibe coding is what happens when programming starts to feel less like engineering and more like improvisation. Instead of carefully writing every line of code, people now describe what they want to an AI tool, tweak the results, fix a few mistakes, and keep moving until something works. The process is fast, messy, and surprisingly casual closer to directing than traditional coding.

What makes vibe coding interesting is that the person building the software often doesn’t fully understand the code underneath it. They’re working from instinct and momentum instead of deep technical knowledge. A designer can build a prototype, a founder can launch a simple app, and a student can make a game just by explaining ideas in plain language. The barrier between “I have an idea” and “I made a thing” suddenly feels much smaller.

That also makes a lot of experienced developers nervous. AI-generated code can be unreliable, bloated, or full of hidden problems. Software built this way often works just enough to impress people before the cracks start showing. But even critics admit something important has changed, creating software is no longer limited to people who spent years learning programming languages.

The reason the term stuck is because it captures the mood of this new era perfectly. People are building software by feeling their way through it experimenting, prompting, revising, and chasing momentum. It’s less about precision and more about intuition. Sometimes that produces chaos. Sometimes it produces something genuinely useful.

What is a No-Code App Builder? (And How to Actually Use One)

Andru Felix — Tue, 19 May 2026 15:35:04 +0000

Have a brilliant idea for an app, but no idea how to code? You aren't alone. For years, launching custom software meant either spending months learning programming languages or paying a development agency tens of thousands of dollars.

That barrier is officially gone. AI-powered no-code platforms now allow anyone to create working software just by typing out what they need in plain English.

In this guide, we will break down exactly how these tools work, what you can realistically build with them, and walk through a step-by-step tutorial to launch your first app using Base44.

What Exactly is a No-Code AI App Builder?

Think of a traditional app as a house. In the past, you had to pour the concrete, frame the walls, and wire the electricity yourself (coding). Then came older visual builders, which gave you pre-fabricated walls you still had to manually drag and drop together.

An AI app builder is like hiring a general contractor. You simply describe the house you want—"I need a booking app for my hair salon with a calendar and a checkout system"—and the AI goes to work.

It writes the code, designs the interface, sets up the database to store your information, and handles user logins. The platform manages the heavy technical lifting, allowing you to focus purely on the product and your business logic.

Why the Shift to AI Matters

If you are a solo entrepreneur, a small business owner, or a project manager, these tools change the math on launching software.

Speed to Market: Instead of waiting six months for a dev team, you can build a working prototype in an afternoon. You get your idea in front of real users immediately.
Drastically Lower Costs: Custom software development is incredibly expensive. Building on platforms like Base44 usually only costs a small monthly subscription fee, replacing expensive agency retainers.
True Ownership: You aren't just getting a static template. Modern AI builders ship with real backends. When you build a tool, you own a fully functioning application with a real database.

Tutorial: How to Build an App with Base44 in 4 Steps

To show you how this actually works, let's build a real project: an appointment scheduling app for a local barbershop. Base44 is designed to take you from a text prompt to a live, hosted product in minutes.

Step 1: Write a Clear, Specific Prompt

The secret to a great result is giving the AI a highly specific set of instructions. Don't just say, "build a scheduling app." Be detailed.

Try this prompt instead:

"Create a web app for a barbershop. It needs two sides. The public side should have a calendar where customers can select an open 30-minute time slot and leave their name and phone number. The admin side needs a secure login where I can view, approve, or cancel daily appointments."

Step 2: Let the AI Generate the Foundation

Once you submit your prompt, Base44's engine starts building. You don't have to stitch together different plugins for your database, your authentication, and your hosting. The AI provisions a real SQL database for your bookings, creates the login screens, and drafts the frontend design all at once.

Step 3: Refine Through Conversation

Your first generation might not be perfect, and that is completely fine. Instead of digging into menus to fix it, you simply chat with the AI to make adjustments.

"Change the primary color to dark green."
"Add a feature that lets customers select which barber they want to book."
"Make the admin dashboard show a summary of total bookings for the week."

The AI rewrites the code on the fly, updating your app in real-time based on your feedback.

Step 4: Connect and Publish

Once the core features work, you can hook up external tools. Need to charge a deposit? Connect a payment processor like Stripe with a few clicks.

When you are ready, hit deploy. Base44 handles the server infrastructure and SSL certificates automatically. You instantly get a live URL to share with your customers.

What Can You Realistically Build?

While you might not build the next complex 3D video game with a no-code tool, they are incredibly powerful for web applications, internal business tools, and Software-as-a-Service (SaaS) MVPs.

Internal Business Tools: Replace messy spreadsheets with custom inventory trackers, project management dashboards, or employee directories.
Client Portals: Create secure spaces where your accounting or agency clients can log in, upload sensitive files, and view their project status.
Marketplaces and Directories: Build community boards, local business directories, or simple e-commerce storefronts.
Automated Workflows: Build apps that trigger actions in the background, like automatically sending a welcome email when a new user signs up.

Frequently Asked Questions

What is the difference between no-code and low-code?
No-code platforms (like Base44) are built for people with zero technical background; you just type plain English. Low-code platforms still provide visual tools to speed up development but require some actual programming knowledge to customize the logic.

Are these tools actually free?
Most platforms offer a free tier that lets you build, test, and even launch a basic version of your application. When you are ready to scale, add a custom web domain, or handle thousands of users, you will typically upgrade to a paid subscription.

Will my app be scalable?
Yes. Modern AI builders generate standard, clean code architectures and use real databases. They are more than capable of handling growing user bases and significant data loads as your business expands.

Top Vibe Coding Tools Right Now

Andru Felix — Sat, 09 May 2026 06:11:26 +0000

Vibe coding has moved beyond just “see what AI can do.” Now, people are actually using it to build apps, websites, small tools, and side projects in real life. Some platforms are made for professional developers, while others are simple enough for people who do not know much coding but still want to create something useful.

The best tools make the process easier. You just explain what you want, make a few changes, fix small mistakes, and continue building without too much hassle.

Here are the tools that people actually keep using.

Cursor

If vibe coding has a default app right now, it is probably Cursor.

Cursor feels less like a chatbot and more like a coding workspace that happens to understand what you are trying to build. You can highlight code, ask questions, rewrite sections, fix bugs, and generate features without constantly switching tabs.

What makes it popular is the balance. It is powerful enough for experienced developers but simple enough that newer users can still get value from it quickly.

Best for:

Full projects
Web apps
Fast prototyping
Developers replacing traditional editors

The biggest downside is that it can still confidently generate bad code sometimes. You need to pay attention.

GitHub Copilot

Copilot is basically everywhere now.

It lives inside editors people already use, and that convenience matters more than flashy demos. A lot of developers use it the same way people use autocomplete on their phones: not perfect, but useful enough to keep turned on permanently.

It is especially good at repetitive work, boilerplate code, and helping people move faster through familiar tasks.

Best for:

Everyday coding
Existing developer workflows
Quick suggestions
Learning by example

Copilot feels less magical than some newer tools, but also more stable and predictable.

Replit

Replit is one of the easiest ways to start vibe coding if you are not a full-time developer.

You can describe an app idea, generate a project, edit files in the browser, and deploy something without spending half the day setting up environments and dependencies.

That simplicity is the whole appeal.

Best for:

Beginners
Small apps
Fast experiments
Students and solo creators

Replit makes software feel approachable, which is why so many non-developers stick with it.

Bolt.new

Bolt exploded in popularity because it turns ideas into working web apps incredibly fast.

You type what you want, and it starts building immediately inside the browser. Landing pages, dashboards, simple SaaS ideas, internal tools — it handles the kind of projects people usually procrastinate on because setup takes too long.

Sometimes it feels genuinely impressive.

Sometimes it completely breaks.

That unpredictability is part of the experience right now.

Best for:

Startup prototypes
Frontend apps
Rapid experiments
People who want instant results

Lovable

Lovable is aimed at people who want to build polished products without wrestling with complicated tooling.

The tool leans heavily into design, layout, and app structure, which makes it popular with founders, creators, and people building MVPs.

It is less about deep engineering control and more about momentum.

Best for:

AI Website building
MVPs
SaaS mockups
Product ideas
Non-technical founders

The name sounds like a startup generated by another startup, but the product is actually useful.

Windsurf Editor

Windsurf is trying to compete directly with Cursor by making the coding process feel more collaborative and conversational.

It focuses heavily on flow. You ask for changes, the tool edits files across the project, and you keep moving without manually handling every little detail.

Some developers love that style.

Others think it removes too much visibility.

Best for:

Large code edits
AI-assisted workflows
Developers who like conversational tooling

It feels like a glimpse of where coding interfaces are heading next.

v0 by Vercel

v0 is one of the best tools for quickly generating clean UI components and frontend layouts.

You describe a page or interface, and it generates React code that is usually far better organized than what most people expect from AI tools.

It is not really meant for building entire backend systems. It shines when you need beautiful frontend work fast.

Best for:

UI design
React apps
Landing pages
Frontend developers

A lot of people use v0 together with Cursor or Copilot instead of treating it as a standalone platform.

Claude

Claude is quietly becoming one of the most popular coding assistants even though it is not marketed like a traditional coding IDE.

People use it because it handles long conversations, large files, and detailed debugging surprisingly well. It is especially useful when you want explanations that sound clear instead of robotic.

Best for:

Debugging
Explaining code
Planning projects
Reviewing logic

A lot of vibe coding today is really just people talking through problems with Claude until something works.

Most vibe coding tools are converging toward the same idea. You describe intent instead of manually writing every detail. The differences mostly come down to workflow.

Some tools feel like smart editors, Some feel like automated interns.

Some feel like collaborative partners, Some feel like chaos generators that occasionally build something amazing.

Right now, the best tool is usually the one that helps you keep momentum without creating a giant mess later. And honestly, that changes week to week.

Different Types of SSL Certificates

Andru Felix — Mon, 27 Dec 2021 18:39:52 +0000

There are several types of SSL certificates, First,certificates are divided into three groups according to the type of how the site will be checked:

A Domain Validated SSL Certificate (DV) validates the domain and encrypts and protects data in transit using the https protocol. Both individuals and organizations can install it on their website. It is produced, as a rule, very quickly – definitely no longer than three hours.