AI Engineering That Ships
Hard-won insights from assembly language to multi-agent orchestration.
Written for engineers who care how systems actually behave in production.
Agentic infrastructure · Defense-in-depth security · Modernizing legacy systems
Agentic AI Systems Engineering
Building production-ready multi-agent systems where AI agents generate Claude Code infrastructure for any project — with defined file ownership boundaries, specialized tool restrictions, and automated quality enforcement. Two completed production migrations prove compound returns: the second migration was more complex but completed in fewer sessions.
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Agentic AI Security Architecture
Applying defense-in-depth security to AI agent systems, directly addressing the OWASP Top 10 for Agentic Applications. Covers prompt injection defense (22 detection patterns), rate limiting as circuit breakers, inter-agent JSON Schema validation, secrets hygiene enforcement, and the Dotzlaw Security Protocol — a 3-tier trajectory monitoring system.
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Production AI Systems
Three completed AI projects with real metrics: Text-to-SQL Dashboard (92–95% SQL accuracy, $45/month), Obsidian Knowledge Pipeline (1,000+ notes, 2,757 bidirectional links, $1.50 total cost), and Job Search Agent (1,975 companies monitored, 58,807 jobs/week, 311 curated matches, $5.04/run).
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Data Intelligence & SQL Engineering
Expert-level SQL across MS SQL Server and PostgreSQL. The text-to-SQL system auto-generates four-panel dashboards from plain English in under 30 seconds using vector search — achieving 92–95% accuracy on a schema with more than a hundred tables where standard AI approaches fail.
Read More →The Next Generation
Continuing the work — two more developers building at the intersection of AI, data, and software.
Building AI-powered data pipelines and full-stack applications at the intersection of machine learning and real-world business problems.
Applying statistical analysis, neural networks, and modern UI to extract insight from complex datasets and build compelling data-driven applications.
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Claude Code Orchestrating AI Agent Teams: How Skills, Hooks, and Context Flow Make Autonomous Coding Reliable
An orchestrator breaks a task into pieces. Specialized agents pick up work items, each carrying skills that define what they know and hooks that enforce how they behave. Context flows from session start to task completion through a deterministic pipeline. Here is how the pieces fit together.
AI & Modern Development Benchmarking and Optimizing GraphRAG Systems: Performance Insights from Production - 4 of 4
In the rapidly evolving landscape of AI applications, we're witnessing an explosion of interest in GraphRAG systems—and for good reason. By combining the relationship-aware power of graph databases wi
AI & Modern Development Optimizing GraphRAG: Five Essential Techniques for Production Performance - 2 of 4
In the rapidly evolving landscape of AI-powered information retrieval, we're seeing an explosion of interest in GraphRAG—a powerful fusion of graph databases and vector embeddings that promises to rev
AI & Modern Development Optimizing Parallel Relationship Loading in Graph Databases: The Mix and Batch Technique - 3 of 4
In the rapidly evolving world of graph databases and AI systems, we're hitting a frustrating wall when it comes to loading relationships at scale. You've probably experienced it yourself—watching your
AI & Modern Development GraphRAG: Building Bridges in the Knowledge Landscape - 1 of 4
In the fast-paced world of AI development, we're constantly pushing the boundaries of what's possible with large language models. Yet despite all our advances, traditional Retrieval-Augmented Generati
AI & Modern Development Building Domain-Specific AI Agents with LangGraph and Pydantic AI
In the fast-paced world of AI development, we're witnessing an explosion of large language models that promise to handle every conceivable task. Yet beneath this excitement lies a harsh reality: gener
AI & Modern Development Scaling LangGraph and Pydantic AI Systems: From Prototype to Production
In the rapidly evolving landscape of AI agent development, we're witnessing an explosion of sophisticated systems built with Langgraph and Pydantic AI. These frameworks have revolutionized how we crea
AI & Modern Development Advanced Testing Strategies for LangGraph and Pydantic AI Agent Systems
In the rapidly evolving landscape of AI agent development, we're witnessing an explosion of sophisticated multi-agent systems that promise to revolutionize how we build intelligent applications. Yet b
AI & Modern Development Combining the Power of LangGraph with Pydantic AI Agents
In the rapidly evolving landscape of AI development, we're witnessing an explosion of agent-based systems that promise to revolutionize how we build intelligent applications. Yet beneath this exciteme