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If you encode each SOC 2 control as a Terraform module, the audit becomes a check against module usage rather than a per-resource review. Notes from Bloom and adjacent projects.
Postgres over the latest vector DB. Go stdlib over the framework du jour. Single binary over Kubernetes operator. The choices that bore reviewers and delight on-call engineers.
An agent that doesn't declare a tier defaults to Prototype, not Production. The flag is the code; the culture is what enforces "new code is not production until someone says so."
An enterprise customer wants you on AWS; the next one wants you on GCP. The provider router pattern that keeps the agent code identical and swaps only the LLM endpoint.
Cross-cloud data movement is billed by the GB. The bill is invisible until it isn't. A multi-region or multi-cloud architecture that doesn't model egress costs in design will discover them in production.
Multi-agent stacks have state: vector indexes, chat histories, agent memory. GKE for AI workloads needs StatefulSets, PVCs, gateway controllers, and the patterns that work in 2026.
Moving a workload from Azure to GCP while it continues to authenticate against on-prem Azure AD (Entra ID). Federation lets the GCP workload assume a GCP service account based on its Azure identity.
A rider asks the bike a question in Marathi, Hindi, or English. The voice stack has to do ASR, intent classification, dispatch to a service tool, generate a response, TTS — all under 3 seconds. Notes from the proof-of-concept.
The audit log isn't a side effect of the system. It's the contract you owe to regulators, customers, and your future self. Treat it as a first-class API — schema, versioning, and SLOs included.
Reflections on a year of consistent technical writing. The post categories that compounded; the ones that didn't; what I'd tell someone starting out.
A recruiter spends 90 seconds on your GitHub before deciding to talk to you. What they're looking for; what makes them skip; what signals matter more than the README.
An honest retrospective on the open-source Genie project after a year. The patterns that held up; the ones we rebuilt; the code we deleted because it solved problems we didn't actually have.