BuildBB-0105

IRIS: coding agents build a robot face on two Teensy boards and a Raspberry Pi 4

One maker had coding agents build IRIS, a robot face with gaze-tracking eyes, on two Teensy boards and a Raspberry Pi 4. Its speech and vision models run locally. Over 195 sessions, one AI planned each change, a second critiqued it and a coding agent made and checked it over SSH. The README shows no photos of the robot.

Open original source github.com · Maestro8484

Claimed
Why this evidence label?

README shows web UI screenshots and a tour GIF and describes the multi-agent loop and the Teensy firmware builds; no photos or video of the physical robot yet.

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Preview image for IRIS: coding agents build a robot face on two Teensy boards and a Raspberry Pi 4
The source's own preview image, from github.com.

Briefing

The Pi wakes on a custom "Hey IRIS" phrase detected on the device, sends the audio to faster-whisper on the workstation and routes commands such as stop and volume past the language model. Replies stream sentence by sentence into Kokoro speech; the README gives about 1.5 seconds to first audio, against about 23 seconds for a full reply. An emotion tag on each reply drives the eyes, mouth and LEDs at once.

The author checks every change on the physical robot himself; the README says an AI cannot tell whether the eyes track or the voice sounds right. One bug surfaced only because IRIS kept losing a hand-reading game: the camera had never focused, because capture skipped the autofocus cycle. The wake-word model carries a non-commercial CC BY-NC-SA restriction from its training data.

“the AIs plan, implement, and verify at the code level; I own physical reality.”

Maestro8484, in the source on github.com

From the GitHub API

Repository facts

Repository facts for maestro8484/iris, from the GitHub API
Repositorymaestro8484/iris
Stars2
LicenseAGPL-3.0-or-later Copyleft
LanguageC++
Last push27 Jul 2026 3 mo ago

Tags

Interface

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