Engineering insights on Infrastructure, AI, and Node.js
A framework for treating agent context as an architecture problem: tiered memory, lossless compaction, and metrics that go beyond retrieval hit rate.
Read ArticleA practical playbook for AI governance: lightweight system inventories, audit trails that satisfy regulators, and clear accountability in the org chart.
Read ArticleComparing Bedrock, ECS, and Lambda for AI agent workloads: matching compute to workload shape, timeout limits, and cost trade-offs across scale.
Read ArticleDesigning MCP tool interfaces for production: schemas that prevent wrong-tool calls, permission boundaries, and safe versioning for running agents.
Read ArticleEvent-driven patterns for coordinating multiple AI agents: choreography versus orchestration, strict message contracts, and dead-letter strategies.
Read ArticleA framework for leading engineering teams as AI generates more code: intent-level review, guarding against skill atrophy, and redefining ownership.
Read ArticleHow an inference gateway routes, caches, and fails over across LLM providers, and where that complexity starts paying off in cost and reliability.
Read ArticleA practical guide to architecting AI agents that run for hours, not seconds: checkpoint and resume patterns, human escalation, and idempotent side effects.
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