---
title: "SonarQube + OpenAI: Wiring Your Team for Agentic Development"
category: "talks"
date: "2026-06-29"
time: "1:15pm-2:15pm"
track: "Track 6"
room: "Track 6"
speakers: ["Killian Carlsen-Phelan"]
sourceLabels: ["Official conference schedule", "Public YouTube metadata"]
scheduleTrack: "Track 6"
scheduleRoom: "Track 6"
scheduleLabels: ["Track 6", "Track 6", "sponsor", "confirmed"]
---
# SonarQube + OpenAI: Wiring Your Team for Agentic Development

## Conference Context
- Date/time: 2026-06-29 · 1:15pm-2:15pm
- Track/room: Track 6 · Track 6
- Speaker(s): Killian Carlsen-Phelan
- Session type/status: sponsor · confirmed

- Track: Track 6
- Room: Track 6
- Session type: sponsor
- Status: confirmed

## Session Description
As AI agents take on increasingly complex development tasks, the critical challenge has shifted from generation to verification. A growing body of evidence suggests that as models grow more capable, failures become more frequent and more convincing, making cognitive surrender among human reviewers an acute risk. This talk introduces Sonar's Agent Centric Development Cycle (AC/DC), a three-stage continuous loop of Guide, Verify, and Solve, as the engineering discipline teams need to build now. Teams that embrace AC/DC guide agents within their organizational standards before they write a line of code, verify output in real-time, and solve issues automatically without manual triage. This session will also feature a live demo of the SonarQube OpenAI plugin, showing how a well-guided agent produces code that is faster to verify and cheaper to fix.

## 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
- [[killian-carlsen-phelan]]

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

## Synthesis
### Synthesized Breakdown
# SonarQube + OpenAI: Wiring Your Team for Agentic Development ## Conference Context - Date/time: 2026-06-29 · 1:15pm-2:15pm - Track/room: Track 6 · Track 6 - Speaker(s): Killian Carlsen-Phelan - Session type/status: sponsor · confirmed - Track: Track 6 - Room: Track 6 - Session type: sponsor - Status: confirmed ## Session Description As AI agents take on increasingly complex development tasks, the critical challenge has shifted from generation to verification. A growing body of evidence suggests that as models grow more capable, failures become more frequent and more convincing, making cognitive surrender among human reviewers an acute risk. This talk introduces Sonar's Agent Centric Development Cycle (AC/DC), a three-stage continuous loop of Guide, Verify, and Solve, as the engineering discipline teams need to build now. Teams that embrace AC/DC guide agents within their organizational standards before they write a line of code, verify output in real-time, and solve issues automatically without manual triage.

### Speaker And Company Context
- [[killian-carlsen-phelan|Killian Carlsen-Phelan]] — Developer Content Engineer at [[sonar|Sonar]].

### Topics Covered
- [[coding-agents]]

### 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.