@Jolyne_AI: Recently, our company has been promoting an AI workflow, and it feels pretty good in practice, so I'm sharing it here. OpenSpec + Superpowers workflow: AI-assisted development complete closed loop from 'writing code' to 'delivery by specification'. Two tools, each with its own role: • OpenSpec manages specs and memory …

Recently, our company has been promoting an AI workflow, and it feels pretty good in practice, so I'm sharing it here. OpenSpec + Superpowers workflow: AI-assisted development complete closed loop from 'writing code' to 'delivery by specification'. Two tools, each with its own responsibility: • OpenSpec manages specs and memory • Superpowers manages design and execution Complete flow: ① Proposal (OpenSpec) /opsx:propose generates proposal + spec + tasks ② Review (Human) Confirm proposal.md requirements and direction ③ Design (Superpowers) Brainstorming deep into details → writing-plans split into atomic tasks ④ Build (Superpowers) TDD first write tests then write code → each sub-agent reads specs/ for context ⑤ Delivery (Superpowers) Return the completed functionality ⑥ Archive (OpenSpec) /opsx:archive archive changes → update specs/ → project knowledge base syncs updates Core value: • OpenSpec turns every change into specification documents, AI no longer gropes repeatedly • Superpowers uses brainstorming to dive into details + TDD to ensure code quality • Sub-agents read specs/ to execute tasks, every step based on unified context • Verification must pass before completion, quality guaranteed This workflow solves the two biggest pain points in AI development: lack of memory and lack of discipline.