Intelligence EXPLOSION: Harness Engineering with Pi Agent, Deepseek, and Gemini
The Intelligence EXPLOSION is HERE. 🔥 Five plus model releases in five days, LLM pricing wars in full effect, and most engineers are still locked inside someone else's agent harness, running ONE model at a time. The most flexible system WINS. Stop selecting compute. Start COMBINING it. 🎥 VIDEO REFERENCES • Get Your Fusion Harness: https://github.com/disler/fusion-harness • FIXING Opus 5: https://youtu.be/S_QdQ1G4GlU • Build your SOFTWARE FACTORY: https://youtu.be/haUfb1ievTE • Master PI Coding Agents: https://youtu.be/f8cfH5XX-XU • Is Anthropic Stealing Your Data? (While you pay for it?): https://youtu.be/qh4vLlit97I • DuckDB v2.0 Preview: https://duckdb.org/2026/08/17/duckdb-20-highlights ✅ PUSH YOUR AGENTIC CODING BEYOND Tactical Agentic Coding: https://agenticengineer.com/tactical-agentic-coding?y=rqZHR-hRllI 😲 Phase 3 Early Sign Up is Officially Available: https://agenticengineer.com/ia3-pre-launch?y=rqZHR-hRllI 🚀 In this video, IndyDevDan breaks down the intelligence explosion (Kimi K3, DeepSeek V4 Pro, Gemini 3.7 Flash, Qwen 3.8, GLM 5.3 and more), then ships V2 of the Fusion Harness, a custom Pi coding agent built for harness engineering. We run Claude Fable 5, Gemini 3.7 Flash, and DeepSeek V4 Pro side by side by side in one multi agent orchestration workflow to answer the question that matters: what's the best way to use these models TOGETHER to outperform them individually? 🔥 Three multi-agent orchestration patterns you can deploy into the fabric of your own agent harness: Opinion: Fire one prompt at N models and get N unique perspectives with performance, speed, and cost tracked per model. Stop asking one model. Ask your whole stack. Debate: Your agents argue a claim across multiple rounds, sharing positions, refutations, and closing statements, with model names hidden behind aliases so they don't sabotage each other. This is strategic decision making with a team of intelligence. Collaborate: Every model proposes a plan, then an architect agent merges them into a task list with owners and dependencies. Two builders plus one architect ship working demos of the new DuckDB v2.0 features while you watch the costs roll in. 🛠️ The numbers tell the story: Fable 5 runs cost an order of magnitude more than the A-tier workhorses. Gemini 3.7 Flash might be the fastest useful model in existence, and DeepSeek V4 Pro is THE open weights model to watch if you have the hardware. The intelligence explosion is delivering open source models that compete with state of the art for most tasks at a fraction of the price. 💡 The key insight: Claude Code is great, but there are things you can't do locked inside someone else's product. Agentic engineering at the edge means owning your agent harness with a tool like the Pi agent: extensible, unopinionated, flexible enough to swap models the moment the landscape shifts. Combine compute, don't select compute. Think in ANDs, not ORs. 🌟 Once you understand prompt engineering, context engineering, and harness engineering, the next step is out-loop agentic coding: the software factory, where agents plus code work on your behalf WITHOUT you. That's where the real alpha in ai coding is. Stop blaming the model. Stop blaming the tools. Everything is in your control. Stay focused and keep building. 📖 Chapters 00:00 The Intelligence Explosion 04:41 Get The Opinions Of Multiple Agents 07:44 Let Your Agents Debate 14:05 Let Your Agents Collaborate #agenticengineering #agenticcoding #harnessengineering
