Most "AI workflow" posts are either pure hype or pure dismissal. This one is neither.
I wrote a practical guide covering the exact workflow I use — which tool for which job, 5 copy-paste prompt templates, and what AI gets dangerously wrong. Here's the short version.
The tool split
No single tool wins everything. Here's how the work gets divided in 2026:
- GitHub Copilot — daily inline completions
- Cursor — React/Next.js daily driver, Agent mode for multi-file work
- Claude Code — large refactors, complex bugs, security audits
- Vercel v0 — UI scaffolding from a prompt or design spec
The most productive developers combine them rather than committing to one.
The 5-stage workflow
| Stage | What you do | Best tool |
|---|---|---|
| 🎨 Component generation | Scaffold from a full spec prompt | v0 → Cursor |
| 🐛 Debugging | Ask for root cause before a fix | Cursor / Claude Code |
| 🧪 Test generation | Generate + mutation-test every suite | Cursor / Copilot |
| ♿ Accessibility audit | WCAG 2.2 AA against specific criteria | Any, with the right prompt |
| 🔍 Code review | Senior engineer framing, not a checklist | Claude Code / Cursor |
The one thing most posts don't say
AI-generated fetch logic routinely omits CSRF headers and input sanitisation. Any code touching auth, forms, or API calls needs a manual human review before it ships. No exceptions.
What's in the full guide
- Complete prompt templates for all 5 stages (copy-paste ready)
- The "AI handles well vs AI gets wrong" breakdown
- Ground rules before you connect AI to a real codebase
- The tool comparison table with specific task recommendations
👉 Read the full guide on onlyWebPro
Which AI tools are you actually using in your frontend workflow? Drop it in the comments.
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