AI Workflow Stack
Developer Productivity Stack
Ship faster with AI coding tools, automation, and smart documentation
Minimal viable start
Overwhelmed by the full stack? Start with just Cursor — it covers the most critical layer of this workflow.
Start with Cursor →Stack builder
Start with the core layer. Add optional tools only after the core workflow is running.
Core — start here
AI-native code editor with full codebase context
Free / Individual from $20/mo
Free plan
Optional — add when needed
Architecture discussions, debugging, and code explanation
Free (with ads in US); paid from $8/mo
Free plan
React/Next.js UI component generation from text prompts
Free plan, paid from $30/user/mo
Free plan
Upgrade later — not required early
Self-hosted workflow automation for internal tooling
Technical documentation and project tracking
Async video communication for remote teams
Alternative to Cursor for JetBrains users
Workflow map
How each core tool fits into the workflow — in order.
Your primary development environment. Cursor indexes your entire codebase, enabling multi-file edits, AI chat with repo context, and agent-mode for autonomous tasks. VS Code fork — your existing setup transfers directly.
↳ manual integration with github-copilot — Most developers use either Cursor or Copilot — not both. Switch to Cursor to get deeper codebase context.
Use for high-level architecture questions, explaining unfamiliar code patterns, and debugging sessions where you want to think out loud with an AI.
Describe a UI component in plain text, get production-ready React code using shadcn/ui and Tailwind. Eliminates blank-canvas frontend work.
Faster than Googling for technical lookups. Perplexity retrieves and cites current documentation, Stack Overflow threads, and package changelogs.
Budget paths
Start small. Expand only when the core workflow is running consistently.
Free / starter path
Good for testing the workflow. Upgrade when limits become a real bottleneck.
Full stack
Est. total: Free – $68/mo. Verify current pricing before committing.
Watch for overlap
Cursor, ChatGPT appear in both the starter and full stack. Do not pay for tools that solve the same layer as something you already have. Expand only when a real bottleneck appears.
What to buy first
- → Cursor — AI-native code editor with full codebase context
What to skip early
- – n8n — Build internal automations, webhook handlers, and data pipelines without Zapier's per-task costs. Self-host for free.
- – Notion — Centralize ADRs, runbooks, sprint notes, and project wikis. Notion AI can summarize long technical threads.
- – Loom — Record quick video walkthroughs of PRs, bug reports, and technical decisions instead of scheduling meetings.
Overview
The best AI coding tools reduce cognitive overhead — they handle boilerplate, surface relevant context, and let you focus on the parts of the problem that require genuine engineering judgment.
The core choice: Cursor vs Copilot
This stack is built around Cursor, but the right choice depends on your IDE:
- VS Code users → Switch to Cursor. It’s a VS Code fork, so your extensions and settings transfer. The codebase-aware context is significantly better than Copilot.
- JetBrains users → Use GitHub Copilot. Cursor doesn’t have a JetBrains plugin. Copilot integrates natively.
- Both → Unnecessary for most developers. Pick one.
How the tools work together
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Cursor is where most of your AI-assisted development happens. Use Chat mode to ask questions about your codebase, Composer mode for multi-file changes, and Agent mode for autonomous tasks like writing tests or refactoring a module.
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v0 handles UI prototyping. When you need a new component — a data table, a form, a modal — describe it in plain English. v0 generates ready-to-use React code. Copy it into your project and customize.
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Perplexity replaces most technical Googling. It retrieves current documentation and cites sources, so you’re not getting outdated Stack Overflow answers.
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n8n (add-on) is for developers who want to automate internal workflows — webhook triggers, Slack notifications, database syncs — without per-task pricing. Self-host on a small VPS for free.
Common mistakes
- Accepting AI code without reviewing it — AI-generated code can introduce subtle bugs, security issues, and architectural inconsistencies
- Using Cursor and Copilot simultaneously — redundant and confusing; pick one
- Not giving Cursor enough context — the more you use Cursor’s codebase indexing, the better its suggestions become
- Over-automating too early — build the workflow manually first; automate only after it’s stable
Stack verdict
Start with the smallest stack that covers your current workflow. Add specialist tools only when a real bottleneck appears — not before.