ai-assisted-workflow.md

Sophisticated AI-augmented development workflow:

🛤️ End-to-End AI-Assisted Flow (what actually happens)

1. 🎯 Start with strong written thinking
   → RFC / Proposal → Full system design & architecture → Integration map

2. 👥 Design review with senior engineers

3. ✅ Approved? → Deep subsystem specs & interface contracts

4. 📅 Backlog grooming → Sprint planning → Granular task breakdown

5. 🛠️ Development (the fun part)
   → TDD-first with AI coding agents
   → AI writes failing test → AI writes minimal implementation → Green → Refactor

6. 🔒 Pull Request & Review
   → Two human approvals minimum
   → AI also runs review pass (style, edge cases, security smell, test coverage…)

7. 🧪 Staging deployment → smoke tests → observability checks
   → All green? → Production 🚀

Small steps. Constant verification. Context before code.
Quality is not a phase — it's the way we move. ✅

🚀 Our Modern AI-Augmented Development Workflow with Claude Code

📚 1. Living Knowledge System
Everything lives in Git — code + documentation stay in perfect sync

• 🌍 Global ~/.claude/ + project-level CLAUDE.md files for rich, persistent context
• 🗺️ Documentation Map with purpose-built guides:
  API specs • Architecture decisions • Design docs • Dev how-tos
• ⚡ Quick Reference files (TypeScript patterns, encoded prompts, conventions) — optimized for AI eyes
• 📝 .claude/templates/ folder → consistent, high-quality code scaffolding

🦸‍♂️ 2. Claude Superpower Skills (our tactical workflows)
We activate specialized modes depending on the mission:

• 🧪 test-driven-development → strict red → green → refactor cycle
• 🐞 systematic-debugging → structured root-cause hunting
• 💡 brainstorming → explore & crystallize requirements first
• 📋 writing-plans + executing-plans → think → plan → code sequence
• ✅ verification-before-completion → never claim “done” without evidence
• 👀 requesting-code-review + receiving-code-review → mandatory quality gates

🔍 3. Quality-First Philosophy

• Break every task into tiny, verifiable steps
• After each step → mandatory thorough self-review / AI review
• Core mantra: “Speed without quality is just very fast waste” ⚡×🗑️

Additional usage:

• Analysing existing code base & answering questions
• Browse documents and answering questions
• Creating & fine tuning specification documents
• Generate comprehensive git commit messages
• Writing utility scripts like db backup etc
• the list goes on..