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Japan’s New AI Just Challenged Claude Mythos — But There’s a Catch
Inside Sakana Fugu, the Japanese multi-model system that coordinates GPT, Claude, Gemini, and other AI workers — and why more intelligence…
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Embeddings, RAG, AI Agents, and MCP: How the Modern AI Stack Actually Works
A practical mental model for understanding how AI applications search private data, retrieve context, make decisions, and interact with…
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Stop Calling Everything an AI Agent: Generative AI vs Agentic AI Explained
One generates the answer. The other keeps working until it reaches a goal.
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Is Prompt Engineering Dead? The AI Skill Developers Need Before They Get Left Behind
Prompting helped developers get better AI answers. But the next advantage comes from AI loop
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Forward Deployed Engineer: The Hottest AI Role in Industry
Why AI companies now need engineers who can turn messy customer workflows into shipped systems, measured outcomes, and real business value.
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What Are MCP Servers? A Practical Guide for Developers Building AI Tools
Why AI tools suddenly need servers, tools, context, and a protocol
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Redis for AI Agents: The Context Layer Most LLM Apps Eventually Need
Why your AI app starts slow, confused, and expensive — and how Redis can help you fix memory, retrieval, and repeated LLM calls
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Stop Searching Jobs Manually: Use Claude AI to Find Better Naukri Jobs Faster
A practical workflow for using Claude, LinkedIn, and Naukri to filter jobs by skills, freshness, applicant count, and fit.
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Stop Rewriting the Same Claude Code Prompts: Build Custom Slash Commands Instead
How reusable Claude Code commands can turn repetitive API scaffolding into a faster, cleaner developer workflow
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Stop Using MCP Blindly: It Might Be Making Your AI Workflow Worse
MCP can make Claude Code and AI tools feel powerful, but in real projects it can also increase tokens, reduce control, and make debugging…
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