From my experience working on financial systems, PII leaks rarely happen because someone intentionally exposed sensitive data. Most of the time they come from ordinary engineering decisions made during development that aren’t caught by code reviews. For example, a developer catches an exception from a third-party API and logs the response payload for troubleshooting.… Read more
The Better the AI Gets, the More Product-Minded Technical Leaders Matter
I’ve been reflecting on a recent experiment building a multi-agent system that generates software from a product specification. What stood out was not whether it could produce code, it obviously can. What stood out was how quickly weak product definition showed up in the output. In the first version, the system produced something functional, but it was clearly built on incomplete assumptions.… Read more
What Building a Multi-Agent System Taught Me About Autonomous Software Development
In August 2022, before I was using AI this way, I wrote: “Computers do what we tell them to. We’re just not always clear with what we’re asking for.”
Building with AI has only made that more obvious.
In fact, it made something else clear too: even when we think we are being clear, there is still a lot of room for a system to interpret the request in ways that are technically valid and product-wise wrong.… Read more
