Insights
Notes from building AI that runs in production
Short, practical articles on agents, data, infrastructure and quantum readiness. Written by the people who do the work.
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4 min read
Terraform CI/CD with GitHub Actions, step by step
A pipeline that plans on every pull request and applies on merge: remote state, OIDC in place of stored keys, approvals and drift detection.
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Snowflake data pipelines for AI: a practical guide
How to build a data pipeline in Snowflake that is ready for AI: ingestion, Dynamic Tables, data quality checks and Cortex AI functions on top.
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Post-quantum encryption: what to do now
Quantum computers cannot break today’s encryption yet, but the replacement standards exist. Five practical steps for an engineering team.
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Terraform and Ansible: what each one is for
Terraform creates infrastructure. Ansible configures what runs on it. How the two fit together, where they overlap and how to start.
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What an AI agent is, and when a business needs one
An AI agent takes a goal, uses your systems and finishes the work. How it differs from a chatbot and from automation, and when it is worth building.
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