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AI & Machine Learning

Multi-agent Systems Explained: The Next Step in AI Evolution

Discover the three core multi-agent system architectures that are redefining AI collaboration. Learn how intelligent agents can work together to think, plan, and act to solve complex real-world problems with greater efficiency and scalability.

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by Quang Hong Nguyen

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Technical Tutorials

Software Development

Lessons from Our CMS Migration to Strapi

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by Bao Tran

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Software Development

The Human Truths of Database Migration

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by Hiep Dinh

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Technical Tutorials

AI & Machine Learning

Lovable vs Builder.io vs Figma Make: What’s the Vibe Code Tool for You?

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by KA Nguyen

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AI & Machine Learning

How We Turned Our Notion Playbook into a Slack Assistant with a Low-Code RAG Stack

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by Nathan Truong

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Technical Tutorials

The Cost of Choosing the Wrong Tech Stack – A Lesson from a Tech Lead

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by Harry Nguyen

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AI & Machine Learning

How to Decide if Your Product Needs AI (or If You’re Just Chasing Trends)

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by Tien Ha

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AI & Machine Learning

MCP Security Pitfalls: Exposing the Hidden Risks Powering Agentic Workflows

Model Context Protocol (MCP) unlocks powerful new Agentic workflows but also brings hidden security risks. Learn how attackers exploit common weaknesses in MCP-powered workflows to steal data and take over your AI agents.

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by Leo Le

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Product Strategy

The Cost of Feature Bloat: How to Say No to Unnecessary Features and Focus on Core Value

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by Quoc Nguyen

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Hiring & Talent

The Cost of Bad Hires in Engineering: How to Spot Red Flags Before Making an Expensive Mistake

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by Hung Dang

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