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// 71d agoTUTORIAL
Cole Medin maps PRD-first Claude Code workflow
Cole Medin’s walkthrough shows a practical way to run greenfield builds with Claude Code by starting from a PRD, delegating scoped research to subagents, and iterating through build-and-validate loops. The approach frames Claude Code less as autocomplete and more as an operating system for structured agentic development in terminal and IDE workflows.
// ANALYSIS
The strongest part of this workflow is that it treats process design as the real leverage point, not just prompt quality.
- –PRD-first planning reduces “vibe coding” drift and gives the agent a durable target before implementation starts.
- –Subagent-based research mirrors Claude Code’s own docs-driven delegation model, which helps preserve main-thread context for decisions.
- –Global rules and memory files create consistency across sessions, making outputs more reproducible as projects scale.
- –Iterative validation loops convert agent mistakes into system improvements, which compounds reliability over time.
- –For teams, this is a blueprint for operationalizing AI coding assistants as repeatable engineering workflows, not one-off demos.
// TAGS
claude-codeai-codingagentcliidemcpprompt-engineering
DISCOVERED
71d ago
2026-03-17
PUBLISHED
71d ago
2026-03-17
RELEVANCE
9/ 10
AUTHOR
Cole Medin