The AI Development Stack in 2025
Building software today looks nothing like it did even two years ago. AI tools have inserted themselves at every layer of the development process.
Layer 1: Ideation & Planning
Tools for turning ideas into plans:
- ChatGPT / Claude — Brainstorming, PRD writing, architecture discussions
- Notion AI — Document drafting and organization
- Whimsical AI — Flowcharts and diagrams from descriptions
Layer 2: Design & Prototyping
Tools for visual creation:
- v0.dev — Generate UI components from descriptions
- Galileo AI — Full design system generation
- Figma AI — Design assistance within Figma
- Loveable / Base44 — Full app prototypes from prompts
Layer 3: Code Generation
Tools for writing code:
- GitHub Copilot — Inline code suggestions
- Cursor — Full agentic coding experience
- Claude Code — Terminal-based AI coding agent
- Replit Agent — Conversational app building
Layer 4: Testing & QA
Tools for quality assurance:
- Codium AI — AI-generated test suites
- Testim — AI-powered test automation
- Copilot for tests — Test generation in your IDE
Layer 5: Deployment & Ops
Tools for shipping:
- Vercel — One-click deployments with AI assistance
- Railway — Simple backend deployment
- Render — Full-stack platform with easy setup
You don't need all of these. Start with one tool per layer and expand as needed. Most successful prototypes use just 2-3 tools total.