Writing

Articles

Notes on fullstack engineering, AI in production, and shipping reliable software.

All ai python llm security fastapi developer-tooling machine-learning orchestration privacy agents automation benchmarking docker full-stack open-source productivity typescript agentic-ai ai-ml-in-production aiml algorithms amd attributeerror audio-security authentication best-practices browser career cicd claude code-quality cognitive-load content-detection cost creative-ai data-structures developer-skills developer-tools developer_tools digital-identity education eidas evaluation feature-engineering gpu huggingface human-feedback langchain langgraph language-models llms local local-deployment maintainability ml mlops mobile-security multi-agent nlp npu onehotencoder optimization performance production production-ml prompt-engineering proprietary-platforms qwen reinforcement-learning reproducibility rlhf scikit-learn side-channel skiplist software-design software-engineering speech text-generation tokens turing versioning voice_agents vs-code web-development web_security workflow

Featured

llmdockerdeveloper-tools

Streamline Local LLM App Development with Docker Compose

Learn to set up a self-contained local environment for LLM app development using Docker Compose. Deploy vector stores, open-source models, and FastAPI for a streamlined build process.

· 1 min read

ai/ml · full-stack

From Prompt to Product: Integrating LLM Agents into Full-Stack Web Applications

Learn to architect and implement full-stack web applications with LLM agents, covering backend orchestration, tool usage, and frontend interaction patterns for intelligent, production-ready systems.

· 1 min

· end ·