Promptgramming

Promptgramming is presented as an approach to AI-assisted software development that replaces improvised, loosely supervised agent interactions with planned workflows containing explicit prompts, required artifacts, deterministic validations, and sequential gates. The author argues that agents can quickly produce demonstrations but may deviate from goals, make confident errors, and create fragile systems when humans manually transfer information among disconnected AI tools. Using Relayflows examples, the piece illustrates multi-agent pipelines for research and social-media drafting, as well as a software-factory process that plans a ticket, implements and tests code, uses a separate model for adversarial review, and creates a pull request only after verifiable conditions are met. The proposed model combines different agents, models, and execution tools while relying on filesystem checks, test exit codes, and idempotent automated steps rather than agents’ self-reported results. Relayflows is described as being used for CLI feature QA and a Hacker News monitoring workflow, with the broader argument that well-defined tasks should be decomposed into constrained, repeatable agent workflows.

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