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Prototyping an agent = easy. Running it reliably at scale = the real challenge. We'll build one live @AISummitSeoul — stateful workflows, secure tool execution, sandboxed runtime — with LangGraph + CubeSandbox on OCI Bare Metal. 📅 Aug 19–20 · COEX Grand Ballroom & Exhibition Hall B 👉 @CubeSandbox #TencentCloud# #CubeSandbox# #Oracle# #OCI# #LangGraph# #AISummitSeoul# #AIAgents# #AgentInfrastructure#
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Prototyping an AI agent is easy. Running one in production is the hard part. Singapore Developer Day, 27 August: a full day building AI apps and agents on Workers, Workers AI, Agent Memory, and AI Gateway, capped by a hands-on hackathon. Plus a keynote from Evan You, creator of Vue.js and Vite. 💻 Bring a laptop. Leave with something deployed. 🎟️ Spots are limited and subject to confirmation upon review. Register at 📅 27 August 2026 📍 Cloudflare Singapore, Frasers Tower Register (seats are limited)
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Prototyping game assets directly with Grok @imagine
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Python allowed for rapid prototyping of our platform to support all of OpenAI's product use cases. But making Python work at this scale meant tackling challenges in event-loop management and connection pooling.
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Google is prototyping "Rooms" inside Gemini Enterprise - shared spaces where teams set goals and playbooks for Gemini to follow and keep everyone aligned. Less chat interface. More AI-run war room.
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Nature research paper: Automated prototyping of genetic codes
my favorite Swift prototyping hack is telling the model to use UIKit instead of SwiftUI
nearly 80% of usage across most prototyping tools, including ours, is users clicking pre-suggested prompt pills instead of typing their own idea. try typing something personalized instead. you'd be surprised what $5 in tokens can build.
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if you're building an ai powered prototyping tool, three types of people show up on the free tier: 1. product managers visualizing a requirement 2. designers prototyping with real code 3. non-technical founders building an MVP none of them talk to a salesperson until they've already proven the tool works for them.
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Whoever learns fastest wins over time. That happens through rapid prototyping, testing, and iteration. A responsive, capable machine shop makes that possible at Castelion. Here's how.
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