# adaptmach

- **Event:** [AIE Code Summit 2026 Hackathon](https://cerebralvalley.ai/e/aie-code-2026-hackathon)
- **When:** Sat, Nov 7 at 9:00 AM – 10:00 PM (PST)
- **Where:** San Francisco, CA
- **Team:** [Anant Dwivedi](https://cerebralvalley.ai/u/anantdwi12)
- **GitHub:** https://github.com/anantdwiv12/adaptmach
- **Demo video:** https://cdn.jsdelivr.net/gh/anantdwiv12/adaptmach@main/demo/AdaptMach-demo.mp4
- **Gallery:** https://cerebralvalley.ai/e/aie-code-2026-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/aie-code-2026-hackathon/hackathon/gallery/58

AdaptMach is an autonomous machine-design agent. You describe a machine, like “deliver a pizza from San Francisco to Fremont through a hurricane”. The agent, running on Meta’s Muse Spark (muse-spark-1.3), writes a Python design() function that picks rotors, motors, battery chemistry, frame, ducts and cruise speed.

Every design is graded by our own physics engine (physics.py), not a game engine. It uses momentum theory for rotor thrust and power, with real-rotor losses and duct augmentation, and real battery energy and C-rate limits. Mass builds up from components and feeds back into power needs. For missions it models forward-flight drag, headwind, gust stability, rain, and trip energy with reserve. Mars and Titan change gravity and air density. A Three.js 3D view flies each design through the storm exactly as the physics says: out of battery over the bay, overheating, flipped by a gust, or delivered.

Failures feed back into the next attempt. After each job, the agent writes down what it learned, as a lesson or a Python tool. That lesson is tested on machines it has never seen, such as a jetpack on Mars or a supply drone in a storm. It’s kept only if those machines need fewer attempts; otherwise it’s rolled back. You can also prototype any machine live and watch each iteration as a 3D model.

Stack: Python standard library only (simulator, sandboxed code execution, learning loop), Three.js front end, Meta Model API.

## More from AIE Code Summit 2026 Hackathon

- [Child1](https://cerebralvalley.ai/e/aie-code-2026-hackathon/hackathon/gallery/55)
- [AIZOYA](https://cerebralvalley.ai/e/aie-code-2026-hackathon/hackathon/gallery/56)
- [Moscoso Intelligence](https://cerebralvalley.ai/e/aie-code-2026-hackathon/hackathon/gallery/57)
- [ProofHunter](https://cerebralvalley.ai/e/aie-code-2026-hackathon/hackathon/gallery/59)
- [ReflexQA](https://cerebralvalley.ai/e/aie-code-2026-hackathon/hackathon/gallery/60)
- [LAZARUS-TWIN](https://cerebralvalley.ai/e/aie-code-2026-hackathon/hackathon/gallery/61)

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Markdown version of https://cerebralvalley.ai/e/aie-code-2026-hackathon/hackathon/gallery/58. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt