---
title: "Rise of the Software Factory"
category: "talks"
date: "2026-06-29"
time: "11:10am-11:30am"
track: "Software Factories"
room: "Main Stage"
speakers: ["Tereza Tížková"]
sourceLabels: ["Official conference schedule", "Public YouTube metadata"]
scheduleTrack: "Software Factories"
scheduleRoom: "Main Stage"
scheduleLabels: ["Software Factories", "Main Stage", "session", "confirmed"]
---
# Rise of the Software Factory

## Conference Context
- Date/time: 2026-06-29 · 11:10am-11:30am
- Track/room: Software Factories · Main Stage
- Speaker(s): Tereza Tížková
- Session type/status: session · confirmed

- Track: Software Factories
- Room: Main Stage
- Session type: session
- Status: confirmed

## Session Description
The Stanford HAI 2024 AI Index reports a 30x productivity gap between AI leaders and laggards. The differentiator is not company culture, prompting technique or model selection, but the infrastructure. Organizations capturing outsized value from AI agents have machine-readable codebases, deterministic internal APIs, CI/CD pipelines with agent-addressable hooks, and permission models granular enough to scope exactly what an agent can touch. I believe the “agents as employees” framing is most useful if you operationalize it. An employee has persistent identity, episodic and semantic memory, scoped permissions that don’t get renegotiated every task, an audit trail, and a defined escalation path when things go wrong. Persistent computer use (with a stable execution environment that survives across steps) was the real inflection point that is making this possible. Some interesting production problems remain under-explored. How do you give an agent persistent identity across pull requests? How do you recover from partial failure mid-task without discarding completed work? How do you enforce code ownership policies when the author is a model? How do you bound token spend when pipelines spin up sub-agents recursively? This talk defines agent readiness as a concrete infrastructure checklist: structured codebases, deterministic APIs, per-agent scoped credentials, atomic and idempotent operations, structured execution traces, and explicit thresholds for when the agent stops and a human takes over. It presents research results in practice, and what are the steps organizations need to take to be fully agent-ready.

## 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
- [[tereza-t-kov]]

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

## Synthesis
### Synthesized Breakdown
# Rise of the Software Factory ## Conference Context - Date/time: 2026-06-29 · 11:10am-11:30am - Track/room: Software Factories · Main Stage - Speaker(s): Tereza Tížková - Session type/status: session · confirmed - Track: Software Factories - Room: Main Stage - Session type: session - Status: confirmed ## Session Description The Stanford HAI 2024 AI Index reports a 30x productivity gap between AI leaders and laggards. The differentiator is not company culture, prompting technique or model selection, but the infrastructure. Organizations capturing outsized value from AI agents have machine-readable codebases, deterministic internal APIs, CI/CD pipelines with agent-addressable hooks, and permission models granular enough to scope exactly what an agent can touch. I believe the “agents as employees” framing is most useful if you operationalize it.

### Speaker And Company Context
- [[tereza-t-kov|Tereza Tížková]] — Growth at [[factory|Factory]].

### Topics Covered
- [[agent-security]]
- [[agentic-search]]
- [[agentic-web]]
- [[ai-sandboxes]]
- [[coding-agents]]

### Derived Links And Source Material

### Novel Concepts / Clever Methods
- [[agent-ready-accessibility|Agent-Ready Accessibility]] — Designing for agents and designing for accessibility converge around explicit structure, reachable controls, and understandable state.

### 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.