- 1The Morning After: What That 30-Minute Phoenix App Actually CostsWhy Working Code and Maintainable Architecture Are Not the Same ThingA fast Phoenix LiveView build can look impressive, but hidden structural debt appears when you inspect what AI generated under speed pressure.AI Elixir Development Tools Best Practices
- 2Stop Repeating Yourself: How to Architect AI Workflows Like CodeApply DRY Thinking to AI Instructions with Axioms, Roles, and TasksIf you keep retyping the same AI instructions, you do not have a workflow. Learn a practical three-layer structure to keep coding agents consistent.AI Elixir Development Tools Best Practices Workflows
- 3Building Your AI Toolchain: Rules, Skills, Sub-Agents, and Slash CommandsHow to Layer AI Execution with Reusable Workflows Instead of Repeating PromptsLearn when to use rules, skills, sub-agents, and slash commands so your AI workflow scales with structured oversight instead of context-heavy repetition.AI Elixir Development Tools Best Practices Workflows
- 4Your AI Tooling Has a Home: Project vs. Global InfrastructureWhy Team-Ready AI Workflows Belong with the Code They GovernLearn when AI tooling should live globally versus in the project so shared workflows stay versioned, visible, and aligned with the codebase.AI Elixir Development Tools Best Practices Workflows
- 5Prompts That Write Prompts: Meta Workflow GenerationTurn Repeatable AI Development Workflows into Versioned Project InfrastructureLearn how meta workflow generation turns prompts into reusable project commands, making AI development workflows durable, repeatable, and reviewable.AI Elixir Development Tools Best Practices Workflows