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Engineering Perspectives on Modernization & AI
Practical writing on agentic AI, legacy modernization, RAG systems, and cloud-native engineering — from the practice, not the marketing team.
LATEST WRITING
Ideas Worth Engineering Around
Agentic AI Beyond the Chatbot: Designing Workflows That Execute, Not Just Respond
Most enterprise AI deployments stop at answering questions. The real operational value starts when an agent can act — end to end, with a human checkpoint only where it matters.
Read article →Legacy Modernization Without the Big-Bang Cutover
A phased, strangler-fig migration path lets a legacy system and its replacement run side by side — reducing risk without freezing feature delivery.
Read article →Building RAG Systems That Support Teams Actually Trust
Retrieval quality matters less than source citation. An answer without a link back to the document it came from will not survive contact with a skeptical support team.
Read article →ERP Rollouts That Don't Freeze Operations
A region-by-region migration, sharing one data model from day one, avoids the classic ERP failure mode: months of parallel systems and manual reconciliation.
Read article →Observability Before the First Deploy, Not After the First Incident
Structured logging, tracing, and dashboards should ship with the first version of a service — retrofitting them after an outage is far more expensive.
Read article →What "Instant" Loan Eligibility Actually Requires Under the Hood
Instant eligibility checks are a product promise backed by a rules engine, cached credit data, and a fallback path for when a bureau call is slow.
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