AI Tools I Actually Use as a Developer in 2026
Most AI tool lists are filled with products people tried once and never opened again.
These are different.
The tools below are part of my actual workflow. Some help me write code, some help me search faster, some help me manage meetings, and others save hours every week by removing repetitive work.
None of them are magic.
But together, they make me significantly more productive.
1. Raycast
One Shortcut for Everything
Raycast has become the command center of my computer.
Instead of opening apps manually, searching through folders, or navigating endless menus, I hit a shortcut and type what I need.
What I Use It For
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Launching applications
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Finding files instantly
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Running scripts
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Managing windows
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Clipboard history
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Quick notes
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AI assistance
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Calendar actions
Why It Stays Installed
Every action takes fewer clicks.
The time saved isn't huge per task, but it compounds hundreds of times per day.
Best Features
| Feature | Benefit |
|---|---|
| App Launcher | Faster than Dock/Start Menu |
| Clipboard History | Never lose copied content |
| Window Management | Organize screens instantly |
| Quicklinks | Open common workflows |
| AI Commands | Search and execute actions |
Link
2. Granola
AI Meeting Notes Without a Bot Joining Calls
Most AI meeting tools require a recording bot.
Granola doesn't.
You simply attend your meeting normally and it creates clean notes, summaries, and action items afterward.
What I Use It For
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Client calls
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Product discussions
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Team meetings
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Discovery sessions
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Planning calls
Why I Like It
Most meeting summaries are cluttered.
Granola keeps things simple:
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Key points
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Action items
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Decisions
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Follow-ups
Benefits
| Traditional Notes | Granola |
|---|---|
| Manual writing | Automatic |
| Miss important details | Captures everything |
| Hard to organize | Structured summaries |
| Time consuming | Instant |
Link
3. Claude Code
The Closest Thing to a Second Engineer
Claude Code has changed how I build software.
Instead of manually navigating large codebases, I can describe a task and let Claude analyze files, understand context, and implement changes.
Common Tasks
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Refactoring
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Feature development
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Bug fixing
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Test generation
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Documentation updates
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Code reviews
Example Prompt
Update the user onboarding flow.
Send a welcome email after signup.
Add tests.
Update documentation.
What Happens Next
Claude can:
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Scan files
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Understand architecture
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Identify dependencies
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Modify code
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Run tests
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Explain changes
Why It Matters
The biggest advantage isn't writing code.
It's understanding large projects quickly.
Link
4. ctrlb-decompose
Making Logs AI Friendly
One hidden problem with AI coding tools is log analysis.
Large logs contain massive amounts of repetitive information.
This increases token usage and slows analysis.
ctrlb-decompose solves that problem.
What It Does
Instead of storing:
INFO request completed
INFO request completed
INFO request completed
INFO request completed
It separates:
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Repeating structure
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Actual changes
Benefits
| Before | After |
|---|---|
| Huge logs | Compact logs |
| More tokens | Fewer tokens |
| Slower analysis | Faster analysis |
| Higher cost | Lower cost |
Why Developers Should Care
If you're feeding logs into:
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Claude
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ChatGPT
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Gemini
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Cursor
This can significantly reduce token usage.
Link
https://github.com/ctrlb-hq/ctrlb-decompose
5. Warp
A Terminal Built for Humans
Traditional terminals haven't changed much in decades.
Warp reimagines the terminal experience.
Features I Use
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AI commands
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Command search
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Workflow sharing
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Smart autocomplete
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Error explanations
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Command history
Example
Instead of remembering:
docker logs $(docker ps -q)
You can simply ask:
Show me container logs from the last week with errors
Warp helps generate the command.
Why It Helps
The terminal becomes:
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Easier to use
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Easier to share
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Easier to understand
Link
My Current AI Productivity Stack
| Category | Tool |
|---|---|
| Search & Navigation | Raycast |
| Meeting Notes | Granola |
| AI Coding | Claude Code |
| Log Optimization | ctrlb-decompose |
| Terminal | Warp |
How These Tools Work Together
A typical day might look like this:
Morning
Use Raycast to launch projects and navigate files.
Meetings
Use Granola to automatically generate summaries and action items.
Development
Use Claude Code to implement features and review code.
Debugging
Use ctrlb-decompose to reduce noisy logs before sending them to AI tools.
Operations
Use Warp to run commands, inspect containers, and troubleshoot systems.
The Biggest Lesson
Most productivity gains don't come from one revolutionary tool.
They come from removing dozens of tiny points of friction throughout the day.
Raycast removes clicks.
Granola removes note-taking.
Claude Code removes repetitive coding work.
ctrlb-decompose removes log noise.
Warp removes terminal frustration.
Individually they're useful.
Combined, they create a workflow that feels dramatically faster, cleaner, and easier to maintain.
