Building with AI is faster than building without it — until it isn’t. Context gets lost, agents drift, infrastructure fails in ways no tutorial warned about.
This blog documents what we’ve actually learned: the patterns that work, the failure modes we hit, and the systems we built to stay reliable at scale.
What You’ll Find Here
AI Workflow Architecture — how to structure multi-agent systems so they stay coherent across sessions and don’t silently lose constraints.
Infrastructure Reality — self-hosting AI stacks on real hardware, the deployment traps, and the operational patterns that save time long-term.
Honest Incident Reports — when something breaks in production, we document it: symptom, root cause, fix, and the lesson that goes in the knowledge base.
CoveLab Foundation — we’re building a structured framework for AI-assisted development that ships the patterns documented here. Learn more →