At a 3-hour Google for Developers hackathon, I ran two AI builders simultaneously on the same brief:
- Hermes + Nvidia Nemotron 3 Ultra 550B — one raw prompt, fully autonomous
- Claude → Gemini Antigravity — iterative spec-first workflow
The most revealing moment wasn't about speed or features. It was how each one handled 429 rate-limit errors during code generation.
// The 3-layer strategy I ended up having to write explicitly for Antigravity:
const RETRY_DELAYS = [2000, 5000, 10000];
async function retryWithBackoff<T>(fn: () => Promise<T>): Promise<T> {
for (let attempt = 0; attempt <= RETRY_DELAYS.length; attempt++) {
try {
return await fn();
} catch (err: any) {
const is429 = err?.status === 429;
const hasRetry = attempt < RETRY_DELAYS.length;
if (is429 && hasRetry) {
await new Promise(r => setTimeout(r, RETRY_DELAYS[attempt]));
} else { throw err; }
}
}
throw new Error('unreachable');
}
Hermes recovered from this autonomously. Antigravity needed the above as an explicit spec.
I scored 93%. Lost the remaining 7% to a single missing prompt — one I assumed I didn't need to write.
Full case study with every exact prompt I used (word for word):
👉 [Read on Medium → https://medium.com/gitconnected/i-ran-two-ai-builders-in-parallel-for-a-solo-hackathon-heres-what-actually-happened-ecb35bb7bafd?sharedUserId=theprodsde]
Includes: architecture diagrams, the 8-step build order, state persistence code, Zod schema tests, and the one prompt I wish I'd written.
Have you run multiple AI builders in parallel? What broke first?
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