Practical notes on AI agent development, agentic applications, workflow automation, RAG, AI-native product engineering, evaluation, and production hardening.
AI coding tools can turn an idea into a working demo quickly. Here is a practical code audit and refactoring path for making that vibe-coded application secure, testable, maintainable, and ready for real users.
Aug 26, 2026
Read articleScaling an AI-native application is a product and systems problem, not simply a larger server. This guide covers data design, APIs, background work, caching,…
Aug 26, 2026
Read articleA production AI agent needs more than a capable model. It needs permission-aware retrieval, explicit tools, bounded autonomy, and a human approval path for…
Aug 26, 2026
Read articleAI application security is not solved by a system prompt. Protect the application with least-privilege tools, permission-aware retrieval, input and output controls, evaluation, and…
Aug 26, 2026
Read articleA local demo note on identity, authorization, tenant boundaries, and auditability for tool infrastructure.
Aug 25, 2026
Read articleA local demo note on datasets, traces, failure labels, and release gates for agent workflows.
Aug 25, 2026
Read articleA local demo note on making high-impact tool calls explicit, reviewable, and testable.
Aug 25, 2026
Read articleTell us what you are building, where it needs to operate, and what constraints matter. We will come back with a focused next step.
