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Developer rebuilds AI workflow as terminal infrastructure, saving 5 hours weekly

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A software developer has shared how he stopped using AI as a simple chat interface and instead integrated it directly into his terminal environment, giving it access to repositories, client data, and automated scripts. The setup relies on a versioned context repository containing instruction files, project registries, and runbooks that any AI tool reads before executing tasks. Custom commands and agents handle routine work such as creating branches, writing code, opening pull requests, and reviewing diffs before each commit. Quality gates ensure no code enters the repository without an automated review, keeping AI-generated output aligned with the developer's own standards. The developer reports reclaiming roughly five hours per week and opening dozens of pull requests with a single command, with gains compounding as each new automation frees time to build the next.

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Developer rebuilds AI workflow as terminal infrastructure, saving 5 hours weekly · ShortSingh