One analogy I see today is the typical testing pipeline. Unit tests get run locally, then maybe a CI job runs unit tests + integration tests, then maybe there's a deployment job which does a blue/green release. At every stage the system is being "tested", but because the tests validate different capabilities, it's like concentric circles that grow confidence for the change.
A software dev lifecycle that uses AI dev tools is similar. Agents will review/contribute at the various stages of the SDLC, sometimes with overlap, but mostly additive and building on the output of one another.
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Definitely agree with this.
One analogy I see today is the typical testing pipeline. Unit tests get run locally, then maybe a CI job runs unit tests + integration tests, then maybe there's a deployment job which does a blue/green release. At every stage the system is being "tested", but because the tests validate different capabilities, it's like concentric circles that grow confidence for the change.
A software dev lifecycle that uses AI dev tools is similar. Agents will review/contribute at the various stages of the SDLC, sometimes with overlap, but mostly additive and building on the output of one another.