Insights

Perspectives from our engineering teams

Practical writing on AI, cloud, software development, security, product, and data engineering — no fluff.

Not every workflow needs an autonomous agent. Here's how we decide where agentic AI creates real ROI versus unnecessary risk.

The choice between retrieval-augmented generation and fine-tuning isn't philosophical — it comes down to how fast your data changes.

Autoscaling isn't enough. Here are the cluster-level changes that cut cloud spend without touching application code.

A migration to microservices isn't a maturity milestone. Sometimes the monolith was right all along.

A practical, staged approach to zero-trust architecture for teams without a dedicated security function.

Discovery shouldn't be a research exercise disconnected from delivery. Here's how we structure it to produce a buildable spec.

Slow dashboards are just the visible symptom. Here's what's usually happening underneath.

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