I’m a final‑year engineering student working on Python and ML projects, so the idea of an “AI technical co‑founder” made up of multiple agents is really interesting. What stands out in Heizen is how the PM, design, coding, QA, and DevOps agents work together to turn messy discussions into roadmaps, UI mockups, code, tests, and deployments, instead of treating each step as a separate tool. That feels much closer to how real product teams operate, especially for early‑stage founders who are juggling all these roles themselves. I also like that reviewers call out the PM Agent for capturing meetings and structuring work, because in my own projects that’s usually the part that gets ignored while everyone obsesses over code. I’m curious how well Heizen plugs into an existing codebase and stack, and where you currently draw the line between what the agents handle autonomously and what still needs a human engineer for complex edge cases and custom integrations.