Production RAG: run evals before you ship to customers
Retrieval quality, citation coverage, and regression suites matter more than model choice. Here is the eval ladder we use before any copilot touches production traffic.
Engineering Notes
Architecture, delivery, and production patterns
Deep dives from our engineering team—RAG evals, API design, CI/CD, observability, agents, and the tradeoffs we document before we ship.
Designing APIs that survive real-world load
Versioning, idempotency, pagination contracts, and error shapes that keep mobile, partner, and batch clients stable when traffic spikes.
Why CI/CD pays off before you think you need it
Teams delay pipelines until pain is acute. A thin CI/CD spine early reduces rework, makes security reviewable, and keeps MVPs shippable without heroics.
Shipping MVPs without painting yourself into a corner
Scope ruthlessly, but protect boundaries: auth, data model seams, and observability hooks that let you grow without a rewrite at month six.
Observability baseline for SaaS teams
Metrics, logs, and traces that answer user-impacting questions—not dashboard wallpaper. A practical starter kit for B2B SaaS.
Document AI with human-in-the-loop QA
Extraction pipelines fail gracefully when confidence scores route work to review queues—and when auditors can replay decisions.
Tool-calling agents with approval gates
Agents that mutate state need explicit human approval, least-privilege tools, and audit logs—especially when connecting to CRM, ERP, or ticketing.
Multi-tenant data isolation patterns that hold up in audits
Row-level security, schema-per-tenant, and hybrid models—how to choose without overbuilding your first SaaS release.
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