One prompt had AI optimize Gazebo: 68-79% CPU savings and up to 3.6x speedups, identical results
facontidavide · x · 2026-10-26
Developer facontidavide shared a prompt that had an AI deeply analyze the Gazebo robotics simulator to find every speed and performance improvement "keeping exactly the same identical results" — and he was stunned by the outcome.
Results shown in the chart (CPU saved on 0-100% scale, wall-clock speedup on 0-300% scale):
- Depth camera depth images: -68% CPU (0.1916→0.0616), 3.4x wall-clock speedup
- /points topic: -79% CPU, 3.6x speedup
- GPU lidar: -53% CPU, 2.0x speedup
- RGB camera: -52% CPU, 2.2x speedup
The key idea: constrain the AI to preserve identical outputs while hunting for performance wins.
More from coding & agent
- Fewer, well-designed agent harnesses beat sprawling agent fleets, argues vixsheikh — annetgriffin · 2026-10-26
- ConformWeb: LLM-generated web apps pass only 11.7% of behavioral contract checks — algo_diver · 2026-10-26
- Agent memory explained in 12 minutes: working, procedural, semantic and episodic — _AustinCalvert_ · 2026-10-26
- Grok Bot v0.75.5 leak touts stored cards, email forwarding, 3x automation limits — mark_k · 2026-10-26
- Every time my agent breaks my UI, I add a rule to its skill — 10 design laws — _AustinCalvert_ · 2026-10-26
- Turn nouns into verbs: the 'Range' trick to unlock cross-domain AI output — petesena · 2026-10-26