Developer Builds Structured AI Coding Workflow Using Staged Pipelines Over Chat Prompts

A software developer has shared how they replaced ad-hoc AI-assisted coding with a structured, stage-based workflow using an open-source tool called agentic-skills. The approach moves tasks through defined phases — requirements, architecture, implementation, checks, review, and pull request creation — with each stage producing inspectable artifacts. Unlike typical prompt-and-response AI coding sessions, this pipeline allows work to be paused and resumed without losing context. The setup separates shared orchestration logic from project-specific configuration, keeping individual repositories lightweight while centralizing pipeline rules. The developer argues this shift moves the focus from crafting prompts to evaluating concrete outputs at each stage of the engineering process.