Technical | Trixly AI Solutions

From Algorithms to AIs: How Reinforcement Learning Discovered Faster Matrix Multiplication

Oct 17, 2025

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From Algorithms to AIs: How Reinforcement Learning Discovered Faster Matrix Multiplication

Trixly, Muhammad Hassan

An AI just entered a fifty-year-old mathematical race, and it's winning in ways no one expected. In 1969, a German mathematician named Volker Strassen made a discovery that shook the mathematics world...

Tooling for Agentic Systems: Safely Letting Agents Work With Your Critical Infrastructure

Oct 15, 2025

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Tooling for Agentic Systems: Safely Letting Agents Work With Your Critical Infrastructure

Trixly, Muhammad Hassan

I remember the first time I watched an AI agent accidentally delete a production database. The developer had given it full access thinking "what could go wrong?" Well, plenty. That moment changed how ...

Design Patterns for Multi-Agent Systems: Building Supervisor to Worker Architectures

Oct 10, 2025

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Design Patterns for Multi-Agent Systems: Building Supervisor to Worker Architectures

Trixly, Muhammad Hassan

Modern agentic systems are splitting responsibilities across specialized agents. Some supervise the flow, while others execute narrow tasks like qualification, classification, scheduling, or data enri...

Building Memory in AI Agents: Design Patterns and Datastores That Enable Long-Term Intelligence

Oct 6, 2025

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Building Memory in AI Agents: Design Patterns and Datastores That Enable Long-Term Intelligence

Trixly, Muhammad Hassan

Most AI agents today are brilliant but forgetful. Once the session ends, their "brain" resets to zero. They can write elegant code, reason through complex problems, and engage in nuanced conversations...

Building AI Voice Agents with LiveKit RAG and Supabase Vector Database

Sep 26, 2025

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Building AI Voice Agents with LiveKit RAG and Supabase Vector Database

Trixly, Muhammad Hassan

The landscape of AI voice assistants has evolved dramatically, moving from simple command-response systems to sophisticated agents that can access and reason over vast knowledge bases. This is where R...

MCP vs Agentic RAG: Understanding Two Complementary Approaches in Modern AI Architecture

Sep 25, 2025

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MCP vs Agentic RAG: Understanding Two Complementary Approaches in Modern AI Architecture

Trixly, Muhammad Hassan

The AI development landscape is witnessing remarkable innovation in how we connect large language models to external knowledge and tools. Two fascinating approaches have emerged that often get confuse...

Rationality Check! Benchmarking the Rationality of Large Language Models – A Study by Zhilun Zhou et al.

Sep 25, 2025

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Rationality Check! Benchmarking the Rationality of Large Language Models – A Study by Zhilun Zhou et al.

Trixly, Muhammad Hassan

Large language models have become remarkably sophisticated, capable of writing poetry, solving complex problems, and engaging in thoughtful conversations. But as these AI systems become more integrate...

Best Agentic AI Frameworks in 2025: Comparing LangChain, LangGraph, CrewAI, and Haystack

Sep 24, 2025

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Best Agentic AI Frameworks in 2025: Comparing LangChain, LangGraph, CrewAI, and Haystack

Trixly, Muhammad Hassan

Introduction: Why Agentic AI Frameworks Matter Agentic AI is no longer just a buzzword. These frameworks are becoming the backbone of intelligent systems that can act, decide, and collaborate without ...

What Twitter's Algorithm Teaches Software Agencies About Building Scalable Recommendation Systems

Sep 13, 2025

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What Twitter's Algorithm Teaches Software Agencies About Building Scalable Recommendation Systems

Trixly, Muhammad Hassan

After diving deep into Twitter's algorithm codebase on GitHub, I spent weeks analyzing the architecture that powers one of the world's largest recommendation systems. As someone who builds software so...

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