I decided to build AR Glasses for AI Coding Because I Was Trapped at My Desk
The 45-Minute Problem
I was coding at my desk when my AI agent hit a blocker.
I wanted to walk away. Grab coffee. Stretch. Literally anything but sit there staring at a progress bar.
I couldn't.
I sat there for 45 minutes babysitting it — watching a progress bar I couldn't leave.
This happens to developers constantly. AI made coding faster. But it trapped us at our desks.
The Productivity Trap
AI coding tools solved the speed problem.
They created a new one: the productivity trap.
The agent runs. You're stuck watching it. You can't leave. You can't multitask. You just... wait.
Remote Supervision Exists (But It's Broken)
Here's the thing: remote AI supervision already exists.
Claude Code launched mobile capability. You can technically supervise AI agents from your phone.
The capability is real. The experience is punishment.
Why?
📱 Tiny screens – Squinting at code on a phone is not supervision. It's torture.
⌨️ No keyboard – Typing corrections on mobile kills every productivity gain.
🔲 No visual context – Text-only output strips the spatial understanding developers rely on.
Enter: Cipher
So I decided to build Cipher – AR glasses for supervising AI coding agents from anywhere.
Here's how it works:
👓 AR Glasses
See code in context, not just raw text on a tiny display. Visual overlays. Spatial context. The way you'd see it on a monitor.
🎙️ Voice Control
Speak instructions. No keyboard. No friction. Natural language commands to your agent team.
🤖 Multi-Agent Team
Not one generalist AI. 7 specialist agents running in parallel:
- 🏛️ ATLAS – Architecture specialist
- 🔐 CYPHER – Security expert
- ⚒️ FORGE – Code generation
- 🔬 SAGE – Testing & QA
- 🚀 SWIFT – DevOps
- 🗄️ ORACLE – Data & SQL
- 🎨 PIXEL – Frontend & UI
Each agent has deep domain expertise. They cross-validate each other. Higher quality output than a single generalist.
🌍 Hands-Free
Supervise while walking. Coffee shop. Park bench. Anywhere. Same capability. 10× better experience.
What's Working Today
I have a working proof-of-concept (phone app):
✅ 7 specialist AI agents orchestrated in real time (CrewAI coordinating via Groq models)
✅ Sub-1.5 second latency globally over internet architecture
✅ Real coding tasks completed successfully end-to-end
✅ Daily personal use – I run this on my own projects
The backend is proven. The agent system is functional. The hard engineering is behind us.
The glasses are a better interface on top of a working foundation.
The Roadmap
Phase 1 – Phone App Beta (Next few months)
Launch to waitlist users. Pay-as-you-go API pricing. Validate demand. Gather usage data.
Phase 2 – Hardware Development (next 8-10 months)
Build AR glasses prototype:
- Display: 0.39" 1920×1080 OLED (5644 PPI)
- Chipset: ESP32-S3
- Camera: OV5640 5MP
- ODM partner: Devomech Solutions ($50K quote received)
Phase 3 – Kickstarter Launch (If we find a US-based co-founder)
Pre-orders from phone app users. Validate hardware demand
Phase 4 – Manufacturing & Scale
Deliver to backers. Subscription model for glasses users.
The Contingency
Hardware is hard. If the glasses take longer than expected, I'm not stuck.
Pivot path: Ship the phone app as a standalone product.
Multi-agent supervision on mobile is still valuable and differentiated.
The glasses are the 10x experience. The phone app is the 3x experience.
Both are defensible.
About Me
I'm 17. I'm a full-stack developer. I started coding at 14. I had an ML engineering internship at 15 (NYC-based company, remote).
I AM the target customer. I built Cipher because I needed it.
The phone app comes first.
Join the Waitlist
I'm launching the phone app beta in a few months.
AR glasses prototype in early 2027.
*Join the waitlist for early access: *https://tally.so/r/rjGk9R
Building in public. Feedback welcome.
Questions for the Community
- Does this problem resonate with you? Do you feel stuck babysitting AI agents?
- Would you use a phone app for this, or do you think glasses are essential?
- What's your biggest concern with the multi-agent approach?
Drop your thoughts in the comments. All feedback welcome – especially critical feedback.
Let's build this together.
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