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RMRowan maththiasrowanmaththias.hashnode.devSep 7 · 3 min read

AI Agent Terminology: A Developer’s Guide to Core Concepts

AI agents are moving beyond traditional chatbot experiences. Instead of simply generating a response, an AI agent can interpret a goal, reason through multiple steps, use external tools, retrieve info

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MAMuhammad Azlaan Zubairblog.mdazlaanzubair.comSep 5 · 6 min read

The Model Is Not the Architecture

The most visible AI product is a chat box. The most instructive AI systems often have no chat box at all. Look across Google DeepMind's work on algorithms, quantum error correction, robotics, and hist

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MMinoxpersonalaiassistant.hashnode.devAug 25 · 1 min read

Inside Agentic Systems

The move from chatbots to AI Agents represents something much larger than a new technology trend. It represents a change in how we interact with computers. For a long time, software waited for humans

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SGSergio González Téllezevankhandev.hashnode.devJul 24 · 3 min read

Why do so many AI systems push all their logic into either Python or SQL, sacrificing efficiency, clarity, and maintainability?

SEED-013 PROBLEM Why do so many AI systems push all their logic into either Python or SQL, sacrificing efficiency, clarity, and maintainability? INSIGHT Python and SQL do not compete over JSON—they

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SGSergio González Téllezevankhandev.hashnode.devJul 22 · 3 min read

Why can many AI systems perform sophisticated inference yet still behave as if they continuously forget what they already know?

SEED-012 PROBLEM Why can many AI systems perform sophisticated inference yet still behave as if they continuously forget what they already know? INSIGHT An intelligent system is not born when it "th

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JLJeremy Longshorejeremylongshore.hashnode.devJul 1 · 7 min read

Architecting a Production Multi-Agent AI Platform: Technical Leadership in Action

Architecting a Production Multi-Agent AI Platform: Technical Leadership in Action From Concept to Infrastructure: A Case Study in Systematic Problem-Solving Over the past few hours, I architected and

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VIVictor Isuovictorisuo.hashnode.devJun 26 · 10 min read

What Mechanical Engineering Taught Me About Building AI Systems

The third agent was the one that broke everything. It was 11pm. I was debugging LexAI — a four-agent CrewAI contract analysis pipeline — and the system was collapsing at exactly the same point on ever

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JJebitoksharonjebitok.comMay 8 · 10 min read

Securing AI Systems (TryHackMe)

Introduction TryTrainMe's engineering team has built TryAssist, an AI-powered code review assistant that analyses pull requests, queries internal documentation, and connects to the CI/CD pipeline. Bef

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VUVishal Uttam Manevishal-uttam-mane-privacy.hashnode.devMay 6 · 4 min read

Privacy vs Personalization in AI Systems: Engineering the Trade-off

Modern AI systems are increasingly designed to deliver highly personalized experiences, from recommendation engines to adaptive interfaces and intelligent assistants. Personalization improves user eng

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Sssnmaheshcorelogic.hashnode.devMay 4 · 9 min read

Context Engineering: The Hidden Foundation Behind Reliable AI Systems

An AI model doesn't have memory between conversations. Every time it responds, it can only see what's currently inside its context window — a kind of short-term working memory. Whatever is in that win

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#ai-systems

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Trending tags this week

AI Agent Terminology: A Developer’s Guide to Core Concepts

The Model Is Not the Architecture

Inside Agentic Systems

Why do so many AI systems push all their logic into either Python or SQL, sacrificing efficiency, clarity, and maintainability?

Why can many AI systems perform sophisticated inference yet still behave as if they continuously forget what they already know?

Architecting a Production Multi-Agent AI Platform: Technical Leadership in Action

What Mechanical Engineering Taught Me About Building AI Systems

Securing AI Systems (TryHackMe)

Privacy vs Personalization in AI Systems: Engineering the Trade-off

Context Engineering: The Hidden Foundation Behind Reliable AI Systems