Community and Ops Intern
1mo
Devfolio, Jun 25' - Present
Vee .
@veesesh
geeks out over tech and loves vibing with communities
geeks out over tech and loves vibing with communities
Community and Ops Intern, Devfolio
Hyderabad, India
1
project
1
1
prize
1
4
hackathons
4
5
Hackathons org.
5
144
contributions in the last year
Jul
S
M
T
W
T
F
S
Jun
2
stars earned
58
repositories
11
followers
1 month
Jun 25' - Present
1mo
Devfolio, Jun 25' - Present
1mo
Kalakumbh, May 23' - Jun 23'
Inspiration💡✨ From our experience with 🤖AI-powered shells, we found that while they mimic GUI interfaces, they often slow down workflows with cumbersome interactions📳—constantly opening, closing, and prompting for each command. We aimed to create a solution that preserves the terminal’s essential strengths—speed and power⚡—while remaining intuitive for 👤users at any level, from beginners to seasoned developers👨💻. Here’s what it offers 💪🏫📋 Smart Clipboard Integration 🖇️: The terminal monitors clipboard content and offers contextual commands. For example, if a Git repository URL⛓️ is copied, it suggests appropriate Git commands; if a package name is detected, installation⬇️ commands are provided. Natural Language 🗣️: Users can type commands in plain English, and it translates🈳 them into executable terminal commands. Enhanced Autocompletion ✍️: Despite limitations in some terminal environments (e.g., PowerShell), it provides advanced auto-completion. System-Aware Intelligence 🖥️: It has built-in awareness🙋♀️ of the user's current system and OS. Better Troubleshoot 🛠️: When a command fails❌ or triggers an error, it suggests potential fixes or alternative commands🔄. Model Integration 🤖: Uses both Gemini🤖 and OpenAI👾 APIs for smart command handling and suggestions. Emoji Feedback 🎉: Shows emojis when command generation fails to make errors more user-friendly and noticeable🤗. Command Explanation 🧾: Not only does it suggest commands, but it can also explain👨🏫 what each command does when you ask, so users can learn as they go🎓. How we built it ❓🧠 We used TypeScript as our codebase. The runtime is powered by Bun for fast execution🚀, with the Gemini and OpenAI APIs integrated for natural language processing🗣️.