MCP in Production: Designing Tool Interfaces Agents Can Actually Use
Designing MCP tool interfaces for production: schemas that prevent wrong-tool calls, permission boundaries, and safe versioning for running agents.
Read ArticleAI Engineering
Software Engineer specializing in Infrastructure, AI, and Node.js
Engineering insights on Infrastructure, AI, and Node.js
Start with the free agent-iam-least-privilege skill →Need architecture or engineering leadership? Consulting →
AI AgentsInfrastructureIAM & GuardrailsCI/CDCloud
Recent Articles
Event-Driven Architecture for Multi-Agent Systems
Event-driven patterns for coordinating multiple AI agents: choreography versus orchestration, strict message contracts, and dead-letter strategies.
Read ArticleLeading Engineering Teams When AI Writes Half the Code
A framework for leading engineering teams as AI generates more code: intent-level review, guarding against skill atrophy, and redefining ownership.
Read ArticleThe Inference Gateway Pattern: Routing, Caching, and Failover for Multi-Model Workloads
How an inference gateway routes, caches, and fails over across LLM providers, and where that complexity starts paying off in cost and reliability.
Read ArticleFrom Chatbots to Coworkers: Architecting Long-Running Autonomous Agents
A practical guide to architecting AI agents that run for hours, not seconds: checkpoint and resume patterns, human escalation, and idempotent side effects.
Read ArticleGPU Acceleration for AI Agents: Performance Optimization in the Cloud
Optimize AI agent performance with GPU acceleration in cloud environments, including CUDA configuration, memory management, and cost-effective GPU scheduling strategies.
Read ArticleThe Engineering Leader's Year-End Reflection: Planning for Continued Growth and Impact
Master annual leadership reflection and planning frameworks for engineering leaders. Learn systematic approaches to setting development goals and building sustainable leadership practices for long-term success.
Read ArticleCI/CD Pipelines for AI Agent Deployments: Automated Testing and Deployment
Build robust CI/CD pipelines for AI agent deployments with automated testing, model validation, security scanning, and progressive deployment strategies.
Read Article