DEV Community: Muhammad Luqman Qamar

The Internet Has a "Body" Problem: Why AI Agents Are Breaking the Web

Muhammad Luqman Qamar — Sun, 05 Apr 2026 17:55:00 +0000

Earlier this year, I set out to build an AI tool designed to help people apply for jobs faster and more effectively. In a way, I succeeded and failed at the exact same time.

I succeeded because I learned how to build a production-ready app using Claude. I created a tool that could read thousands of job listings, match them to a user’s skills, and write perfect cover letters in seconds. But I failed because, despite all that "intelligence," my tool couldn't actually apply to a single job.

Why? Because the internet wasn't built for software; it was built for people with bodies.

The Web Assumes You Are Human Every time you encounter a CAPTCHA (those "click all the traffic lights" boxes), an SMS verification code, or an email login link, you are hitting a wall designed to stop bots.

For decades, the internet’s security stack has been built on one unspoken rule: Users must be physical beings. This creates a massive divide in how the web works today:

The Read Layer: AI agents can roam here freely. They can scrape data, read articles, and analyze job boards.

The Write Layer: This is gated. To actually do something—like submit an application, buy a ticket, or sign a contract—you have to prove you have a thumb to click a button or a phone to receive a text.

If an AI can analyze every job on Earth but can’t click "Submit," it isn't "intelligent" yet. It’s just a very advanced surveillance tool.

The "AI Doom Loop" in Hiring Instead of fixing this fundamental gap, the market has created "workarounds." Companies like AIApply or EnhanceCV allow job seekers to blast out hundreds of tailored applications every week.

On the surface, this sounds great for the applicant. But it has created a disaster for the hiring world, often called the AI Doom Loop:

Applicants use AI to mass-apply to 150 jobs a week.

Recruiters get drowned in thousands of AI-generated resumes that all look perfect and sound the same.

Companies use their own AI to mass-filter those resumes.

Trust collapses. Recruiters are overwhelmed, and job seekers feel like their applications are disappearing into a black hole.

We are currently using AI to "brute-force" human forms. The agent pretends to be a person, and the form pretends to talk to a person. It’s a game of shadows where nobody wins, and the cost of hiring keeps going up.

Why AI Agents Break Business Models It’s not just security that’s broken; it’s the way we pay for things. Most software-as-a-service (SaaS) companies use flat-rate subscriptions (e.g., $20/month).

This model assumes "one body = one predictable amount of work." A human user asks a few questions, gets tired, and goes to lunch. But an AI agent doesn't sleep. A single agent can make 2,000 requests overnight while its owner is snoring.

When you remove the physical body from the equation, the economics of "per-user" pricing collapse. Heavy agent users exploit the flat rate, while light human users end up subsidizing them. The "seat license" model is a relic of a human-only world.

The Solution: Building for Machines, Not Bodies If we want AI agents to actually be useful, we have to stop forcing them to act like humans. We need a new kind of infrastructure built on three pillars:

A. Verifiable Identity
We don’t need more "bot detectors." We need a way for an agent to say: "I am a legitimate recruiting agent authorized by Jane Doe, and here is my cryptographic proof." We need a standard for agents to talk to other agents (A2A) without pretending to be a person clicking a mouse.

B. Outcome-Based Economics
In an agent-led world, "charging per seat" makes no sense. The value moves from access to outcomes. Instead of paying for a monthly login, companies should pay when an agent actually delivers a result—like a confirmed hire or a completed transaction.

C. Machine-Readable Interfaces
Instead of making AI "read" a website designed for human eyes, we need machine-readable schemas. We need protocols where a job posting isn't a wall of text, but a structured data file that an agent can understand instantly and accurately.

Looking Ahead The uncomfortable truth is that 97% of enterprises expect a major AI agent security incident this year. This isn't because AI is "evil," but because we are trying to shove non-human participants through human-shaped pipes.

The future isn't about better "auto-apply" tools or smarter resume scanners. Those are just Band-Aids on a broken system. The real work is building the foundational layer where:

Forms are replaced by data protocols.

SMS codes are replaced by digital signatures.

Subscriptions are replaced by transaction fees.

The internet isn't ready for agents yet, and neither are our business models. The question for builders is simple: Are you building workarounds for the old world, or are you building the infrastructure for the new one?

About the Author: I’m building open-protocol infrastructure for agent-to-agent transactions. If you're working on agent identity or new economic models for AI, let’s connect at adnx.ai.

Advantages of C Language in Today’s Time

Muhammad Luqman Qamar — Sat, 04 Apr 2026 18:30:12 +0000

The C programming language remains one of the most powerful and widely used languages even in the modern era. Despite the rise of newer languages, C continues to play a crucial role in software development due to its efficiency, flexibility, and strong foundation. Below are the major advantages explained in detail.

1. High Performance and Speed

C is known for its fast execution speed because it is a compiled language and works very close to the hardware. It does not include heavy features like automatic memory management, which makes programs lightweight and efficient....Readmore
👉 This is why C is still used in operating systems, embedded systems, and real-time applications where performance is critical.

2. Direct Access to Memory (Low-Level Capabilities)

C provides pointers that allow direct interaction with memory. This feature gives programmers full control over system resources.
👉 It is especially useful for:

System programming
Embedded systems
Device drivers

This low-level capability makes C more powerful than many modern high-level languages.

3. Portability

C is a portable language, meaning programs written in C can be easily transferred from one system to another with minimal changes.
👉 For example, software developed on one operating system can be adapted for another without rewriting the entire code.

4. Foundation for Modern Programming Languages

C is often called the mother of many programming languages. Languages like:

C++
Java
Python

are influenced by C.
👉 Learning C helps in understanding core programming concepts such as loops, data types, memory management, and algorithms, which are essential in all programming languages.

5. Widely Used in System and Embedded Programming

C is still the first choice for:

Operating systems (like Linux, Windows kernels)
Embedded systems (microcontrollers, IoT devices)
Firmware development

👉 Many modern devices like smartphones, washing machines, and cars use embedded systems programmed in C.

6. Rich Set of Libraries and Functions

C provides a standard library that includes many built-in functions for:

Input/output operations
String handling
Mathematical calculations

👉 These libraries make coding easier and reduce development time.

7. Structured Programming Language

C follows a structured programming approach, which means programs are divided into smaller parts (functions)....Readmore
👉 Benefits include:

Easy debugging
Better code organization
Improved readability and maintenance

8. Strong Community Support and Resources

C has been around for decades, so there is a huge amount of learning material available, including:

Books
Online tutorials
Forums and communities

👉 Beginners can easily find help and guidance.

9. Suitable for Learning Core Programming Concepts

C is considered one of the best languages for beginners to understand:

How computers work
Memory management
Problem-solving techniques...Readmore

👉 It builds a strong programming foundation.

10. Flexibility and Control

C gives programmers complete control over the system, allowing them to write optimized and customized programs.
👉 This flexibility is rarely found in modern high-level languages.

Conclusion

Even in today’s advanced technological world, C remains highly relevant. It is widely used in system programming, embedded systems, and performance-critical applications. Learning C not only helps in building efficient software but also strengthens your overall programming skills.