Building AI dev team · AI Marketing

Building AI dev team

As marketers we often need to build apps, funnels, websites, data processes and many other things.

We can use AI as developers to do this...

We are shifting from the era of AI autocomplete to autonomous coding agents. This new guide outlines how engineering teams can delegate entire workflows to AI, utilizing models that can now sustain reasoning for hours rather than seconds.

The document covers specific strategies for transforming every phase of the development lifecycle:

Plan: Agents cross-reference specs with codebases to map dependencies and estimate complexity.
Build: Moving from manual coding to "First-Pass Implementation" by agents, while engineers focus on architecture.
Test & Review: Using AI to generate edge-case tests and conduct initial code reviews before a human sees the pull request.
Deploy: Automating root cause analysis by connecting agents directly to logging tools.

The key takeaway is that the engineer's role is evolving from rote implementation to design and supervision.

Download the full PDF below to access the "Getting Started" checklists for each stage.

author - OpenAI

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