Google just dropped Gemini 3 Pro and it DESTROYS EVERY benchmark… BUT does that even matter anymore? 🤔🔥❌
The real breakthrough engineers are missing is this: You can give your agents their own COMPUTERS.
Watch as I spin up 15 agent sandboxes running Gemini 3 Pro, Claude Code, and Codex 5.1 Max to build full-stack applications in parallel.
🎥 Featured Links:
– Get the Agent Sandbox Skill: https://github.com/disler/agent-sandbox-skill
– Gemini 3 Pro: https://blog.google/technology/developers/gemini-3-developers/
– Agent Sandbox Provider: https://e2b.dev/
– Codex 5.1 Max: https://openai.com/index/gpt-5-1-codex-max/
– Push your Agents to the next level (Agentic Horizon): https://agenticengineer.com/tactical-agentic-coding?y=V5IhsHEHXOg
Welcome to 2025 where model intelligence isn’t the limitation anymore – YOU are. Every new release from Google, OpenAI, and Anthropic unlocks incredible capabilities, but most engineers (myself included) aren’t using enough compute. In this video, I’m pushing the boundaries of what’s possible with agentic coding by giving AI agents their own dedicated computers to operate.
I put Gemini 3 Pro head-to-head with Claude Sonnet 4.5 and GPT Codex 5.1 Max to see which model truly delivers when building full-stack applications. We’re not talking simple UI demos – these agents are building complete SQLite CRUD interfaces, note-taking apps with persistence, and Nano Banana Pro image generation tools. All running in isolated agent sandboxes with zero touch to my local machine.
Here’s what makes this powerful: You can reprogram ANY agent to use Claude Agent Skills. I’ll show you exactly how I’ve reprogrammed backslash commands to trigger complex agentic workflows that plan, build, host, and test entire applications. This is the future of agentic engineering – scaling your compute to scale your impact.
The shocking truth? Gemini 3 Pro dominates every benchmark, but Claude Code still delivers the most reliable results. Why? Because it’s not just about the model anymore. It’s about the complete agentic experience – the agent, the tooling, the workflows, and how well they work together. The only benchmark that truly matters now is YOUR specific use case.
Watch as I demonstrate the “Best of N” pattern – spinning up multiple agent sandboxes in parallel, letting them compete, and choosing the best result. This is how you maximize AI compute in 2025. From reprogramming agents with custom syntax to building agent skills that any model can access, this video shows you cutting-edge techniques for agentic coding that you won’t find anywhere else.
Whether you’re using the Gemini CLI, Claude Code, or the Codex CLI, these principles apply universally. Learn how to give your agents more autonomy, achieve better isolation and security, and scale your engineering impact like never before.
Key insights from this deep dive into AI coding:
– Model performance matters LESS than agent architecture
– Agent sandboxes unlock true autonomous coding
– Full-stack applications can be generated in one shot
– The best of N pattern multiplies your productivity
– Reprogrammable agents are the future of agentic workflows
Huge thanks to everyone who helped us hit 100K subscribers! This channel exists to be your favorite engineer’s favorite engineer’s channel, and we’re just getting started. 2026 is going to be INSANE for agentic engineering.
Remember: The limitation is no longer the language model. The limitation is in the agent systems YOU build. Stop using 50% of your model’s intelligence and start deploying compute at scale with agent sandboxes.
Stay focused and keep building.
📖 Chapters
00:00 Gemini 3 Pro, Anti-Gravity, Nano Banana Pro
02:00 Gemini 3 Pro Agent Sandboxes
05:50 Do model releases matter anymore?
09:49 Wow! Thank you – 100k Subs!
11:52 Reprogramming agents for agent skills
17:22 Full Stack Agent Results
26:45 Agent Sandbox Skill Breakdown
#aiagents #softwareengineering #aicoding
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