---
title: "Redesigning how software gets built"
category: "talks"
date: "2026-06-30"
time: "10:45am-11:05am"
track: "Expo Stage 4"
room: "Expo Stage 4 SE"
speakers: ["TBD — Sonar"]
sourceLabels: ["Official conference schedule", "Public YouTube metadata"]
scheduleTrack: "Expo Stage 4"
scheduleRoom: "Expo Stage 4 SE"
scheduleLabels: ["Expo Stage 4", "Expo Stage 4 SE", "session", "confirmed"]
---
# Redesigning how software gets built

## Conference Context
- Date/time: 2026-06-30 · 10:45am-11:05am
- Track/room: Expo Stage 4 · Expo Stage 4 SE
- Speaker(s): TBD — Sonar
- Session type/status: session · confirmed

- Track: Expo Stage 4
- Room: Expo Stage 4 SE
- Session type: session
- Status: confirmed

## Session Description
AI is already transforming how software is built, but most organizations are still treating it as a productivity tool rather than a governance challenge. The real question isn't whether to adopt AI-assisted development; it's whether your operating model is designed to control what comes out of it. This session reframes the AI development conversation around three practitioner horizons: organizations that are proficient with the status quo, those capturing velocity today, and those building toward the next frontier, where AI agents operate with genuine autonomy at scale. The gap between these horizons isn't model capability. It's operating model maturity. Most organizations are still applying AI to isolated steps in the development process. The real value only arrives when you redesign the system end-to-end: how work flows, how decisions are made, and how teams interact with AI as a core contributor. That transition requires something most teams haven't built: a governance layer that is accurate, consistent, repeatable, transparent, and auditable. This talk explores what that governance layer looks like in practice, including how to instrument controls at the point of generation, enforce standards without slowing agents down, and build the organizational confidence to let agents operate at scale without losing visibility or accountability. The companies getting the most out of agentic development aren't the ones with the best models. They're the ones with the strongest foundations. True governance isn't a gate at the end of the pipeline. In an agentic world, it's the architecture the pipeline runs on.

## Media Evidence
No related AI Engineer channel video found yet.

## Evidence Graph
This evidence graph is generated from currently linked source material: official schedule text, related video pages, cached transcripts, visible slide text, dense/reconstructed slide pages, and AI slide-classification audits.

### Media Signals
No linked video, transcript, or slide source has been attached yet.

### Agent Reading Notes
Use these signals to refine the synopsis, topic links, people/company context, and method notes. If a source is a related external video rather than an exact official recording, keep it framed as supporting evidence.

## Transcript Status
No official session recording transcript was found by exact title match on the AI Engineer YouTube channel during this run.

## People
- [[tbd-sonar]]

## Notes
- Pending transcript synthesis when an official recording or confirmed matching video is available.

## Synthesis
### Synthesized Breakdown
# Redesigning how software gets built ## Conference Context - Date/time: 2026-06-30 · 10:45am-11:05am - Track/room: Expo Stage 4 · Expo Stage 4 SE - Speaker(s): TBD — Sonar - Session type/status: session · confirmed - Track: Expo Stage 4 - Room: Expo Stage 4 SE - Session type: session - Status: confirmed ## Session Description AI is already transforming how software is built, but most organizations are still treating it as a productivity tool rather than a governance challenge. The real question isn't whether to adopt AI-assisted development; it's whether your operating model is designed to control what comes out of it. This session reframes the AI development conversation around three practitioner horizons: organizations that are proficient with the status quo, those capturing velocity today, and those building toward the next frontier, where AI agents operate with genuine autonomy at scale. The gap between these horizons isn't model capability.

### Speaker And Company Context
- [[tbd-sonar|TBD — Sonar]] — role not listed at company not listed.

### Topics Covered
- [[agent-security]]

### Derived Links And Source Material

### Novel Concepts / Clever Methods
- No highlighted novel concept has been detected yet.

### Evidence Boundary
This synthesis is based on the official schedule and linked source pages. It should be revisited when exact session recordings or transcript-backed secondary sources are available.