SGSergio González Téllezinevankhandev.hashnode.dev·Jul 24 · 3 min readWhy 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 00
SGSergio González Téllezinevankhandev.hashnode.dev·Jul 22 · 3 min readWhy 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 "th11A
JLJeremy Longshoreinjeremylongshore.hashnode.dev·Jul 1 · 7 min readArchitecting a Production Multi-Agent AI Platform: Technical Leadership in ActionArchitecting 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 00
VIVictor Isuoinvictorisuo.hashnode.dev·Jun 26 · 10 min readWhat Mechanical Engineering Taught Me About Building AI SystemsThe 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 ever00
JJebitokinsharonjebitok.com·May 8 · 10 min readSecuring 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. Bef00
VUVishal Uttam Maneinvishal-uttam-mane-privacy.hashnode.dev·May 6 · 4 min readPrivacy vs Personalization in AI Systems: Engineering the Trade-offModern AI systems are increasingly designed to deliver highly personalized experiences, from recommendation engines to adaptive interfaces and intelligent assistants. Personalization improves user eng00
Sssnmaheshincorelogic.hashnode.dev·May 4 · 9 min readContext Engineering: The Hidden Foundation Behind Reliable AI SystemsAn 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 win00
BUBABY UMA BHARATHI Rinumabharathi.hashnode.dev·Apr 30 · 3 min readFrom Static LLMs to Practical AI Systems: A Guide to RAG and MCPWhy LLMs Alone Are Not Enough (And How RAG + MCP Fix It) Most Large Language Models (LLMs) fail in real-world applications not because they are weak—but because they don’t know your data. They are tra00
VUVishal Uttam Maneinvishal-uttam-mane-dataset.hashnode.dev·Apr 30 · 5 min readHandling Imbalanced DatasetsIn real-world machine learning applications, perfectly balanced datasets are more the exception than the rule. Whether in fraud detection, medical diagnosis, anomaly detection, or cybersecurity, the n00
VUVishal Uttam Maneinvishal-uttam-mane-scale-ai-sys.hashnode.dev·Apr 18 · 4 min readBuilding Scalable AI Systems in Cloud EnvironmentsBuilding scalable AI systems in cloud environments requires a combination of distributed computing, efficient data pipelines, and robust model lifecycle management. As organizations move from experime00
