How to ship AI code safely | TECH | Product Builders | AI-Native #4

AI agents ship code. Who owns it? How Boldare runs a 100% AI SDLC with clear control gates and ownership of every decision.

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When the agent ships the PR, who owns what shipped?

AI doesn't wait for a stand-up. In AI-native engineering teams, the agent doesn't just suggest a function – it runs the whole loop: spec, implementation, tests, fixes, review, PR. And most organizations are still looking in the wrong place: counting how much code AI wrote instead of asking who stands behind what went to production.

In this Product Builders | AI-Native session, Piotr Majchrzak (co-CEO, Boldare) and Stefan Touhami (Tech Lead & Backend Engineer, Boldare) unpack how Boldare runs its own engineering on a 100% AI SDLC – and how to design a system so you always know who's making the call, even when an agent does most of the work.

The conversation covers:

• why "% of code written by AI" is the wrong metric – and what to measure instead,
• where an agentic SDLC needs control gates, so no decision ever ships without an owner,
• how to design the process so the question "who wrote this" stops mattering for who answers for it.

Not a hype reel about agentic coding. A working blueprint from a team already running it – and what CTOs need in place before they scale it.

About Product Builders | AI Native

Product Builders | AI-Native is a community for practitioners building digital products in the AI era – Substack is where it all comes together.

Monthly live sessions with guests across product, design, and engineering, written articles, show notes, and podcast episodes on YouTube, Spotify, and Apple Podcasts. Powered by Boldare.

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