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"I'm not at a point where I trust the agent, especially with stuff that people are using." From Micky (@Rasmic), who's taught 100K+ people to build with AI: "The manual review is like the final step. All the work's done, and I have as much evidence from the agent as possible. With evidence-driven testing, before and after, and even greploop, we're trying to build trust. The agent presents evidence: This is the work that's done, and this is why it's good. For anyone who's been a developer…
"One wrong assumption in [your software factory] just destroys everything." Here's my new episode with @Rasmic, where he walked me through his 4-step agentic engineering workflow to ship production apps: 1. Isolate: Give each agent its own worktree 2. Build: Create reusable building blocks 3. Prove: Make agents record proof it works 4. Ship: Get AI to review your PR on a loop Some quotes from Micky: "I'm not at a point where I trust the agent. It has to show evidence of what it did and why it's good." "Planning isn't the agent writing a spec and me reviewing it. It's me and the agent discussing until I know what I want. The conversation history is the spec." "Every time a new model comes out, I start fresh with no skills to see how it works. Then I add back my software factory." 📌 Watch now: https://youtu.be/8rEAkEvhhcQ Thanks to our sponsors: @WisprFlow: 4x faster than typing with your voice https://ref.wisprflow.ai/peteryang @RiversidedotFM: All-in-one AI studio for podcasts and video https://creators.riverside.com/PeterYang