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Mathibharathi Mariselvan

Mathibharathi Mariselvan

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Nov 6

MCP Server Security: How to Prevent Unauthorized Tool Access in AI Applications

AI applications are moving beyond generating responses. They can now retrieve customer records, query databases, create support tickets…

MCP Server Security: How to Prevent Unauthorized Tool Access in AI Applications

Mathibharathi Mariselvan

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Oct 29

Multi-Agent Coding Systems: How to Prevent Merge Conflicts, Shared-State Corruption, and…

Multi-agent coding systems promise faster software development by allowing several AI agents to investigate, implement, test, and review…

Multi-Agent Coding Systems: How to Prevent Merge Conflicts, Shared-State Corruption, and…

Mathibharathi Mariselvan

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Oct 23

Multi-Tenant RAG Systems: How to Prevent Cross-Customer Data Leakage

Retrieval-augmented generation (RAG) allows enterprise AI applications to answer questions using private documents, internal knowledge…

Multi-Tenant RAG Systems: How to Prevent Cross-Customer Data Leakage

Mathibharathi Mariselvan

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Oct 22

Small Language Models vs. Large Models: A Deployment Decision Framework for Enterprise AI

Choosing an AI model for an enterprise product is not simply a question of which model is smarter. It is a decision about latency…

Small Language Models vs. Large Models: A Deployment Decision Framework for Enterprise AI

Mathibharathi Mariselvan

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Oct 16

Single-Agent vs. Multi-Agent Systems: When Does Distributed Intelligence Actually Pay Off?

As AI systems move beyond chatbots into autonomous business workflows, one architectural decision is becoming increasingly important…

Single-Agent vs. Multi-Agent Systems

Mathibharathi Mariselvan

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Oct 9

AI Data Contracts: Why Enterprise AI Needs Better Data Boundaries

An enterprise AI system can use a powerful model, a well-designed architecture, and an optimized inference pipeline — and still produce…

AI Data Contracts: Why Enterprise AI Needs Better Data Boundaries

Mathibharathi Mariselvan

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Oct 9

AI Observability: Your AI App Can Be 100% Up and Still Be Broken

Your AI application can have 99.99% uptime, return HTTP 200 responses, pass infrastructure health checks, and still be failing users. That…

Understand What Developers Should Know about AI Observability

Mathibharathi Mariselvan

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Oct 1

Designing AI Agents That Can Verify Their Own Actions

AI agents are moving beyond generating text. They can search databases, call APIs, modify records, execute code, trigger workflows, and…

Build AI Agents That Verify Their Own Actions

Mathibharathi Mariselvan

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Sep 25

The Emerging Architecture of AI-Native Applications

For years, software architecture followed a predictable pattern:

Emerging Architecture of AI-Native Applications

Mathibharathi Mariselvan

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Sep 23

What Happens Between an AI Agent’s Decision and Its Final Action?

An AI agent deciding to perform an action is not the same as actually performing it. When an agent says, “I’ll update the customer record,”…

What Happens Between an AI Agent’s Decision and Its Final Action?

Mathibharathi Mariselvan

Mathibharathi Mariselvan

Co-Founder and Director - Pixel Web Solutions . i help Web3 founders launch MVP's and scale 5X faster. Web page: https://pixelwebsolutions.com

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