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Technical notes · Dipak Rijal

AI-Assisted SDLC
for Cloud & Database Teams

A practical view of using AI to improve delivery quality without losing engineering discipline.

AI should strengthen the process

AI-assisted delivery is most useful when it supports requirements, test plans, runbooks, documentation and root-cause analysis rather than replacing senior judgement.

Spec-driven work reduces confusion

Clear acceptance criteria, migration steps, validation checks and rollback plans help teams move faster with fewer surprises.

Human review remains critical

Cloud and database changes affect production risk. AI output should be reviewed, tested and aligned with operational controls before use.

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