Notes, experiments, and playbooks on building production LLM applications, orchestrating autonomous agents, and optimizing software delivery. Written for developers and practitioners.
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Learn how to architect, build, and deploy production-ready AI agents using the Model Context Protocol (MCP). Covers state management, security, and scalability.
OpenAI is terminating its model supply contract with Cursor. Here is what is changing and how to configure custom API keys for Claude, DeepSeek, and local Ollama endpoints.
How to safely run autonomous AI coding agents in your terminal. Learn how to sandbox execution environments, restrict shell commands, and protect secrets.
A technical comparison of LangGraph, CrewAI, and AutoGen for building production multi-agent systems in 2026. Covers architecture, state management, checkpointing, control flow, and a clear decision framework for AI engineers.
A technical guide to building type-safe, observable AI agents with PydanticAI. Learn why teams are replacing bloated abstractions with pure Python, dependency injection, and strict schema validation.
AI Engineer & Systems Practitioner
Building LLM products, researching multi-agent orchestration, and setting up secure deployment pipelines. Formerly writing DevOps playbooks, now mapping the production AI stack.
Learn more about my experiments arrow_forwardEverything published here is tested locally and run against real applications. We avoid corporate jargon, consultant hand-waving, and empty marketing hype.
Designing, optimizing, and operating reliable AI pipelines in production. Context truncation, pricing model controls, hybrid search architectures.
Orchestrating autonomous decision-making loops and workflows. Complex state machines, multi-agent frameworks, LangGraph orchestration.
Practical implementations, fine-tuning methodologies, model evaluation frameworks, and speech-to-text models on Azure and cloud environments.
Accelerating local development velocity, command-line interfaces, automated CI/CD pipelines, container optimizations, and secret scanners.
We send out weekly breakdowns of RAG implementations, agent logic flows, Docker optimizations, and code checklists. Straight code snippets, zero fluff.