---
title: "From approval loops to autonomous agents with Docker pt1"
category: "talks"
date: "2026-06-29"
time: "1:30pm-1:50pm"
track: "LLM Recsys"
room: "Track 7"
speakers: ["John Craft"]
sourceLabels: ["Official conference schedule", "Public YouTube metadata"]
scheduleTrack: "LLM Recsys"
scheduleRoom: "Track 7"
scheduleLabels: ["LLM Recsys", "Track 7", "session", "confirmed"]
---
# From approval loops to autonomous agents with Docker pt1

## Conference Context
- Date/time: 2026-06-29 · 1:30pm-1:50pm
- Track/room: LLM Recsys · Track 7
- Speaker(s): John Craft
- Session type/status: session · confirmed

- Track: LLM Recsys
- Room: Track 7
- Session type: session
- Status: confirmed

## Session Description
You've invested in the best models, coding agents, and AI tooling. Now comes the hard part: unlocking autonomous development without creating security headaches, governance gaps, or endless approval loops. In this 90-minute hands-on workshop, you'll learn how to run coding agents in isolated environments built for autonomous work, create a 'golden path' for AI-assisted development across your organization, reduce software supply chain risk with secure, hardened containers, manage multiple agents with the right permissions and guardrails, and scale AI-powered development without slowing developers down.

## 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
- [[john-craft]]

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

## Synthesis
### Synthesized Breakdown
# From approval loops to autonomous agents with Docker pt1 ## Conference Context - Date/time: 2026-06-29 · 1:30pm-1:50pm - Track/room: LLM Recsys · Track 7 - Speaker(s): John Craft - Session type/status: session · confirmed - Track: LLM Recsys - Room: Track 7 - Session type: session - Status: confirmed ## Session Description You've invested in the best models, coding agents, and AI tooling. Now comes the hard part: unlocking autonomous development without creating security headaches, governance gaps, or endless approval loops. In this 90-minute hands-on workshop, you'll learn how to run coding agents in isolated environments built for autonomous work, create a 'golden path' for AI-assisted development across your organization, reduce software supply chain risk with secure, hardened containers, manage multiple agents with the right permissions and guardrails, and scale AI-powered development without slowing developers down. ## Media Evidence No related AI Engineer channel video found yet.

### Speaker And Company Context
- [[john-craft|John Craft]] — Solutions Engineer at [[docker|Docker]].

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