I've tried 50+ AI tools in the past year. Most are hype. These 7 actually stayed in my daily workflow.
1. Claude Code (CLI)
Replaced 80% of my Stack Overflow searches. Reads my codebase, understands context, writes code that fits.
Time saved: ~2 hours/day
2. GitHub Copilot
Best for inline code completion and boilerplate.
Time saved: ~45 min/day
3. Cursor
AI-powered editor that understands your entire project. Great for explaining code, generating tests, multi-file refactoring.
Time saved: ~1 hour/day
4. Notion AI
Summarizing meeting notes, generating docs from bullet points, translating notes.
Time saved: ~30 min/day
5. Raycast AI
Quick questions without context switching. Hotkey, question, answer. No browser tab.
Time saved: ~20 min/day
6. SwiftLint + AI Rules
Custom rules + AI suggestions catch style issues and bugs before code review.
Time saved: ~30 min/day
7. Otter.ai
Transcribes and summarizes meetings automatically.
Time saved: ~20 min/meeting
Total: ~5 hours/day
| Tool | Daily Savings |
|---|---|
| Claude Code | 2 hours |
| Copilot | 45 min |
| Cursor | 1 hour |
| Notion AI | 30 min |
| Raycast AI | 20 min |
| SwiftLint+AI | 30 min |
| Otter.ai | 20 min/meeting |
The key is knowing WHICH tools to use for WHAT.
I've documented my entire AI workflow on my Boosty page — AI Workflow Blueprints and AI Agent Toolkit.
Daily dev + AI tips: t.me/SwiftUIDaily
What AI tools are in your workflow? Drop them below.
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