Terminal Productivity Dashboard | 60-Minute Autopilot Project

Project Overview

This Terminal Productivity Dashboard was built in 60 minutes using AI autopilot. It demonstrates how AI-assisted development can accelerate creation of useful developer tools.

Terminal Usage Overview

+12%

1,247

Commands Executed

Past 7 days

+5%

42h 18m

Active Time

Terminal usage

-3%

89

Files Modified

Code changes

+8%

92%

CPU Efficiency

Resource usage

Productivity increased by 18% this week

AI-powered suggestions helped optimize workflow and reduce repetitive commands.

Weekly Command Usage & Productivity

Commands

Productivity %

Peak Commands

245

Friday

Avg Daily

172

Commands

Peak Productivity

92%

Friday

Weekly Total

1,207

Commands

Time Distribution by Activity

Development

38%

~16 hours

Build/Test

25%

~10.5 hours

Git Operations

18%

~7.5 hours

Database

12%

~5 hours

Server/DevOps

~3 hours

Optimization Opportunity

Build/Test time (25%) could be reduced with incremental builds and parallel testing. AI could suggest optimizations.

Productivity Insights

AI-powered analysis of terminal usage

Most Productive Hours

45%

10 AM - 2 PM shows peak productivity with 45% of daily output

Common Bottleneck

32%

Build/compile commands take 32% of terminal time

Automation Potential

18 repetitive commands could be automated with scripts

AI Optimization

2.5h

AI suggestions could save ~2.5 hours weekly

Overall Productivity Score

78/100

Good

Most Used Commands

Past 7 days of terminal activity

Total: 615 executions

git commit -mGit

142

times

npm run devDevelopment

times

docker compose upDevOps

times

psql -U postgresDatabase

times

cd ../Navigation

213

times

curl -X POSTAPI

times

Automation Potential

6 scripts could save 45 min/day

AI-Powered Optimization Suggestions

Based on your terminal usage patterns

2 implemented2 pending

Automate Git Commit Pattern

Easy

Create a script that formats commits with consistent structure

Save 15 min/day

Pending

$ git commit -m "[type]: description"

Parallel Test Execution

Medium

Run tests in parallel using jest --maxWorkers

Save 8 min/test run

Pending

$ npm test -- --maxWorkers=4

Docker Compose Profiles

Medium

Use Docker profiles for different environments

Reduce startup by 40%

Implemented

$ docker compose --profile dev up

Custom Shell Aliases

Easy

Create aliases for frequently used commands

Save 30 min/week

Implemented

$ alias gs="git status"

Total Time Savings Potential

Implementing all suggestions could save approximately 4.2 hours per week

That's ~11 days per year saved from repetitive tasks

About This 60-Minute Autopilot Project

⚡ Built With AI Assistance

This entire application was planned, coded, and deployed in 60 minutes using AI coding assistants. The process involved rapid iteration, component generation, and intelligent debugging.

Next.js 14 with TypeScript and Tailwind CSS
Recharts for data visualization
Lucide React for icons

🚀 Deployed to Vercel

The project is automatically deployed to Vercel with continuous integration. Each update triggers a new deployment, making it live within seconds.

terminal-dashboard.vercel.app

$ git push origin main → Auto-deploy to Vercel