Sr Dir @ OpenGov | How To Cut AI Signal From Noise

Coding got fast. Gianluca Biccari's point is that almost nothing else did.

In this episode, Gianluca, Senior Director of Engineering at OpenGov, walks through what actually changes when your team can generate code at unprecedented speed. His analogy: you've dropped a 300 MPH engine into the car, but the steering, the brakes, and the lane-keeping are all still tuned for 60. The mistakes don't disappear. They get amplified.

We also get into the human side of all this. Gianluca leans on the Switch framework, the rider, the elephant, and the path, to explain why top-down AI mandates stall and peer-to-peer wins spread. And we talk about the thing keeping most engineering leaders up at night: leading through ambiguity when everyone expects you to have answers that don't exist yet.

*A few things you'll take away:*
- Why "AI is just another tool" undersells what's actually happening
- How to build a filter for signal when the firehose never shuts off
- What a real system of control looks like across the full SDLC
- Why looking backward matters as much as looking forward when nothing is certain

*About Our Guest*
Gianluca Biccari is Senior Director of Engineering at OpenGov, the cloud software company built for U.S. local governments, school districts, and public agencies. He runs both platform and product engineering teams that own the full stack, from front end to operations, across hubs in San Francisco, Boston, Atlanta, and India.

His leadership approach centers on small wins and the emotional reality of change, not just the technical one. He's spent the last year pushing his teams to scale velocity across the entire software lifecycle rather than just the coding step, and to lean into ambiguity instead of waiting for it to clear. Originally from Italy and a University of Bologna grad, he does his clearest thinking on a bike.

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