Blog
Architecture decisions, production lessons, and patterns that actually work.
Most AI agent pilots fail at the same choke points: poor tool design, no eval harness, hallucinated output formats, unhandled error states, and no escalation path. Here's how to build past all five.
LangChain is a framework. Mastra is a framework. What your team actually needs is a harness — the opinionated internal scaffold that makes your specific agents testable, observable, and maintainable.
Model Context Protocol has crossed the chasm from experimental to production-ready. Here's everything we've learned deploying MCP servers inside real engineering orgs.
The curriculum structure, project design, and facilitation patterns that have worked across three cohorts totaling 140 engineers.
The honest numbers: senior engineering time, opportunity cost, time-to-production, and the hidden cost of getting the architecture wrong on iteration one.