Technical Journal & Production Lessons
Engineering lessons on AWS serverless design, multimodal AI agent orchestration, FinOps cost reduction, and enterprise automation governance.
Connecting an AI agent to databases and APIs should not be maintenance hell. Learn how to build custom MCP servers with FastMCP, consume them in LangChain, and spin up community tools on the fly with uv.
Build autonomous enterprise AI agents using the latest UiPath Community Edition. Step-by-step framework, Agent Builder, Maestro orchestration, and rapid prototyping.
Discover how AWS Dogwood redefines autonomous AI agent security through temporal governance and MFOTL logic, stopping multi-step escalation attacks in real time.
Production blueprint for shipping AI agents with managed infrastructure. Move beyond brittle orchestration pipelines with AWS Bedrock, managed agents, and OpenAI.
Are your AI agents disconnected from your operational data? Discover how Model Context Protocol (MCP) breaks enterprise silos and multiplies automation ROI.
Did your autonomous AI turn into a budget-eating zombie? Explore this real-world production postmortem and the serverless FinOps architecture that acts as an emergency kill-switch.
UiPath or n8n for your AI agents? It's not just 'expensive vs. free'—it's 'Empire vs. Rebels'. Discover which automation philosophy wins your technical and operational battle.
Is your engineering support drowning in JIRA tickets? Here is the blueprint to build an autonomous AI agent that classifies, enriches, and routes them. Less chaos, more focus.
Architecting an AI system on AWS? Not all compute brains are equal. Discover when you need SageMaker's full control, Bedrock's managed foundation models, or Lambda's serverless agility.