DEV Community: ESQRD

Out of Work, Out of Time: When AI Agents Replace Us

ESQRD — Fri, 20 Mar 2026 15:04:10 +0000

AI agents are no longer experimental tools - they are rapidly becoming an integral part of digital product development. From generating code to analyzing user behavior, AI is reshaping how companies build, scale, and maintain technology.
But with this shift comes a bigger question: what happens when AI agents can do most of the work faster, cheaper, and better than humans?

🤖 Why Businesses Are Adopting AI Agents

The adoption of AI agents in digital product development provides companies with strong strategic advantages. These benefits directly impact product quality, speed of delivery, and overall operational efficiency.

1. Faster Time-to-Market
AI agents automate parts of development, testing, and analytics processes. As a result, teams can release new features and updates much faster.
Studies show that companies actively using AI improve their time-to-market by 16-30%.

Business impact:
Faster product releases allow companies to respond quickly to market changes and customer needs.

2. More Stable and Reliable Products
AI agents analyze code, logs, and system behavior to detect potential issues before they affect users.
Research indicates that AI can improve software quality by 31-45% through automated validation and analysis.

Business impact:
Fewer bugs, more stable platforms, and a more predictable user experience.

3. Accelerated Product Development
AI is already deeply integrated into development workflows:
84% of developers use AI tools
Around 41% of code is generated with AI assistance

Business impact:
Teams can implement ideas faster and iterate more efficiently.

4. Transparent Technology Infrastructure
AI agents can automatically generate architecture documentation and map system relationships.

Business impact:

Clear understanding of technical platforms for managers
Faster onboarding for new developers
Reduced dependency on individual specialists

5. Faster Technology Decision-Making
AI agents analyze documentation, repositories, and technical content to produce structured insights.

Business impact:

Faster and more informed decisions about technology stacks
Reduced research time for product teams

6. Improved User Experience
AI agents analyze performance, UI structure, and user flows to identify friction points.

Business impact:

Better usability
Reduced user drop-offs
Increased customer satisfaction

7. Faster Internal Development Processes
AI tools can increase development productivity by 25-39%, while reducing time for processes like code review by around 30%.

Business impact:
Teams move faster from idea to production.

🦾 Real Use Cases from Our Work

Case 1: UI Component Generation

Problem:
Developing new UI components takes time and requires manual coding.
AI Solution:
An AI agent generates components (HTML, CSS, JS, React/Vue) based on design files and predefined styling rules.
Case:
A designer creates a card layout in Figma → AI generates a fully responsive component aligned with the design system.

Case 2: Understanding Legacy Projects

Problem:
Difficult to understand projects built by other teams without documentation.
AI Solution:
AI agent indexes the codebase and generates architecture maps, dependencies, and documentation.
Case:
A WordPress project is transferred without docs → AI analyzes repo → developer quickly finds catalog filters and CRM integrations.

Case 3: Keeping Documentation Up-to-Date

Problem:
Documentation quickly becomes outdated.
AI Solution:
AI automatically updates documentation based on code changes.
Case:
Custom plugin development → documentation generation becomes significantly faster with AI.

💡Conclusion

AI agents are not just tools - they are becoming digital coworkers. But humans cannot be replaced, as there’s still a need for control.
The companies that embrace them will move faster, build better products, and scale more efficiently. Those that don’t may find themselves struggling to compete.

📨Would you like to know more - just leave a message here: welcome@esqrd.co

How We Create Black Hole in Dev with Three.js

ESQRD — Thu, 12 Feb 2026 14:24:50 +0000

Modern web design increasingly relies on interactive 3D elements to engage users. One of the most visually striking effects is a procedural black hole - an animated object that simulates gravity, light bending, and particle motion in real time.

In this article, we explain how our team developed a fully procedural black hole element for the web, using WebGPU, Three.js, and Raymarching, and how it can be applied in interactive websites, WebAR experiences, and gaming projects.

✨ Step-by-Step Creation Process

1. Defining the Core Components

Our black hole consists of three main elements:

Accretion Disk - particles and dust forming a dynamic rotating disk
Core - fully absorbs light and acts as the central focal point
Gravitational Space Distortion - bends rays to simulate lensing and gravity

Each component was developed individually and then combined into a single composition, optimized for real-time rendering.

2. Base Geometry and Raymarching

The object is based on a simple cube. All rendering is handled via a fragment shader.

We use Raymarching:

Rays are cast from the camera to each pixel
Rays advance through the volume step by step
Pixel colors are calculated at every step
Procedural geometry and lighting are applied

This method allows precise control over particle distribution and light behavior.

3. Procedural Accretion Disk

The accretion disk uses simplex noise for organic texture generation, simulating dust and particle movement.

To avoid common Raymarching artifacts, we applied Jitter, slightly offsetting rays at each step for smooth transitions.

4. Gravitational Light Distortion

We mathematically bend rays during Raymarching to achieve:

Disk distortion around the core
Realistic gravitational lensing
Space attraction effect

Bloom and color grading add a glowing, high-fidelity appearance.

5. Core Layer

The black core absorbs light fully and interacts seamlessly with the disk.
Rendering is split into layers: front disk → core → back disk, creating a realistic depth effect.

6. Space Distortion Behind the Object

Finally, the environment behind the black hole is distorted using the bent rays, producing a convincing gravitational lensing effect.

🛠 Technologies: WebGPU -> JavaScript -> Three.js -> TSL -> Raymarching -> Jitter -> Bloom

The object is fully browser-compatible and can be embedded in any Three.js scene.

🧐 Challenges

Debugging Raymarching - difficult due to complex ray behavior; solved with special visualization modes.

Camera Inside Object - required seamless inner-surface rendering to avoid visual glitches.

👉🏻 Capabilities

The black hole is fully procedural and configurable, with parameters such as:

Disk density and particle structure
Gravitational distortion intensity
Color and Bloom strength
Core radius and rotation speed

The most notable feature: real-time distortion of everything behind the object.

🦾 Where to use

Interactive / immersive web projects
Games and WebAR/WebXR experiences
Creative portfolios and landing pages
Brand campaigns and digital installations

The solution is scalable and adaptable for a wide range of web and 3D projects.

⏰ Development Time -> 50 hours

Test it here: https://singularity.misterprada.com/

💡 Conclusion

This project demonstrates the potential of modern web graphics and WebGPU-powered Raymarching to create complex procedural effects.

Our procedural black hole is a perfect example of interactive web animation, combining technical depth, performance, and visually striking design.

🚀If you’re interested in immersive 3D elements in your projects, we’d be happy to connect and discuss!

🚀Check for more: https://esqrd.co/blog?category=latest

🚀Message here: welcome@esqrd.co

VR is Dead? Or It's Just XR Glasses Marketing?

ESQRD — Thu, 29 Jan 2026 14:36:28 +0000

> Some Very Important News Has Arrived!

In early 2026, Meta - the company behind Oculus/Meta Quest and the long-standing vision of the metaverse - introduced major changes to its VR division, Reality Labs. These decisions have sparked intense debate and concern across the global tech community.

What happened?

📉Mass Layoffs and Studio Closures

Meta announced the reduction of more than 1,000 jobs within its Reality Labs division - the team responsible for virtual reality and metaverse development.

As part of this restructuring:

Several VR studios were shut down, including well-known developers that had been working on major games for VR headsets.
Development of new content from these studios was discontinued, effectively marking the end of several previously announced projects.

According to Meta’s technical leadership and company representatives, the main reasons cited were slower-than-expected growth of the VR market and weaker headset sales compared to initial projections.

😱 What Does This Mean for Quest and VR Users?

There are several key implications for headset owners and VR enthusiasts:

Official support for VR content will be reduced. Many large internal projects have been cancelled or frozen, and Meta is now investing less in exclusive VR games.
Delays or cancellations of future headset models are possible. According to some analysts and insider reports, the next new Quest device may launch later than originally expected.
Third-party developers and the ecosystem remain. While Meta has cut back on its internal studios, external developers continue to create games and applications for Quest, meaning the platform will continue to function and evolve.

🧐 Why did this happen to VR now?

Meta’s step back from VR did not happen in a vacuum. It is the result of a much larger shift in the technological landscape - because technology never stands still.

👉 AI is growing faster than VR ever did

The main reason is simple: artificial intelligence has begun evolving at a pace that VR never managed to reach.

AI:

does not require new hardware from users
scales instantly
integrates seamlessly into existing products (social networks, messengers, office tools)
delivers fast and clearly measurable ROI

Unlike VR, AI does not need to be explained to the market. It became useful, mainstream, and profitable almost immediately.

For companies at Meta’s scale, this is critical: investors are no longer willing to wait years for “the future” -> they want results now, today.

👉XR glasses are a more realistic path to the mass market

The second key reason is the shift in focus from VR to XR and smart glasses.

Full-scale VR remains a niche technology:

bulky headsets
user isolation
high cost of entry
limited everyday use cases

XR glasses address these issues:

they look like a normal accessory
they work in the real world
they pair perfectly with AI
they don’t require full user “immersion”

In essence, XR + AI is a more convenient version of the metaverse - without the word “metaverse.”

For example, the recent Ray-Ban Meta glasses are not an experiment, but a signal: the future is not in virtual worlds, but in augmented intelligence layered on top of reality.

💡Conclusion

Answering the question of this article - No, VR is not dead, but the belief in it is no longer as fanatical as it once was. There will be more VR worlds and activities, but the main focus remains on XR with AI and development for smart glasses.

📨Are you interested in VR? Let's get acquainted!

👉🏻Just leave us email here: welcome@esqrd.co

WHAT DO YOU THINK: IS THERE ANY FUTURE FOR VR?