this post was submitted on 03 Dec 2025
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Get back to us when you actually launch and maintain a product for a few months then. Because you don't have anything in production then.
We use a layered architecture following best practices and have guardrails, observability and evaluations of the AI processes. We have pilot programs and internal SMEs doing thorough testing before launch. It's modeled after the internal programs we've had success with.
We are doing this very responsibly, and deliver a product our customers are asking for, with the tools to help calibrate minor things based on analytics.
We take data governance and security compliance seriously.
If you have all this infrastructure in place, similar internal programs and so on, why don't you just adjust an internal program that you already have? What value does the AI actually offer?
Accelerated delivery. We use it for intelligent verifiable code generation. It's the same work the senior dev was going to complete anyway, but now they cut out a lot of mundane time intensive parts.
We still have design discussions that drive the backlog items the developers work off with their AI, we don't just assign backlog items to bots.
We have not let loose the SaaS agents that blindly pull from the backlog and open PRs, but we are exploring it carefully with older projects that only require maintenance.
And yes, we also use chore bots that are determinstic for maintainance, but these are more small changes the business needs.
There are in fact changes these agents can make well.