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Notes on fullstack engineering, AI in production, and shipping reliable software—newest first.
19 articles · 71 topics · Page 2 of 2
Learn how to create optimized VS Code Dev Containers for your AI/ML projects, ensuring consistent development environments, faster onboarding, and reproducible results for your team.
Explore efficient local LLM deployment with Lemonade by AMD, leveraging GPU/NPU for speed and open-source flexibility. Learn practical integration into Python applications using FastAPI for powerful AI services.
Explore practical Python strategies and techniques for developing robust Qwen3.6-Plus powered LLM agents that interact seamlessly with tools and APIs, tackling real-world deployment challenges.
Understand how web apps or browser extensions might 'search' your computer. Learn Python/FastAPI and TypeScript strategies to build secure applications, protect user privacy, and prevent data exfiltration.
How I moved from basic prompt usage to building structured multi-agent systems using LangChain and LangGraph, and what actually changed for me.
Notes on RLHF-style loops, why human judgment still matters, and how my work on Turing fits into that picture—with links to read alongside.
Why I am doubling down on Python and AI, what I am studying in AI security and orchestration, and the resources that are actually helping.