Practical writing on agentic systems, orchestration, automation design, and the operating patterns behind reliable AI delivery.
How engineering, product, and operations teams should collaborate. how deployment pipelines should handle prompts, evals, migrations, secrets, caches, queues, and scheduled AI jobs together
How to prepare the workflow for CI/CD and production operations. how deployment pipelines should handle prompts, evals, migrations, secrets, caches, queues, and scheduled AI jobs together
The security and permission concerns that should be reviewed. how deployment pipelines should handle prompts, evals, migrations, secrets, caches, queues, and scheduled AI jobs together
How to measure quality, reliability, and operational readiness. how deployment pipelines should handle prompts, evals, migrations, secrets, caches, queues, and scheduled AI jobs together
The mistakes teams should identify before launch. how deployment pipelines should handle prompts, evals, migrations, secrets, caches, queues, and scheduled AI jobs together
A practical checklist for building and reviewing the workflow. how deployment pipelines should handle prompts, evals, migrations, secrets, caches, queues, and scheduled AI jobs together
A system-design view for planning production implementation. how deployment pipelines should handle prompts, evals, migrations, secrets, caches, queues, and scheduled AI jobs together
Opinionated engineering notes for practical AI and software delivery. how deployment pipelines should handle prompts, evals, migrations, secrets, caches, queues, and scheduled AI jobs together
How the workflow changes as traffic, users, or data volume grows. how deployment pipelines should handle prompts, evals, migrations, secrets, caches, queues, and scheduled AI jobs together
A map of useful tools, libraries, and platform decisions. how deployment pipelines should handle prompts, evals, migrations, secrets, caches, queues, and scheduled AI jobs together