---
title: 'Warp: Building Self-Improving Agent Software Factories'
category: talks
date: '2026-06-30'
time: '1:55pm-2:15pm'
track: Expo Stage 3 SW
room: Expo Stage 3 SW
speakers:
  - Suraj Gupta
sourceLabels:
  - Official conference schedule
  - Public YouTube metadata
last_auto_summarized: '2026-07-03T15:29:58.469Z'
scheduleTrack: ""
scheduleRoom: "Expo Stage 3 SW"
scheduleLabels: ["Expo Stage 3 SW", "session", "confirmed"]
---
# Warp: Building Self-Improving Agent Software Factories

## Conference Context
- Date/time: 2026-06-30 · 1:55pm-2:15pm
- Track/room: track TBD · Expo Stage 3 SW
- Speaker(s): Suraj Gupta
- Session type/status: session · confirmed

- Track: track TBD
- Room: Expo Stage 3 SW
- Session type: session
- Status: confirmed

## Session Description
We are in the era of Software Factories, where the entire SDLC is being automated by agents. We will cover how we are approaching self-improving software factories leveraging dedicated agents to update skills, persistent cross-harness memory, and implementing feedback loops to ensure that software factories continually improve.

## 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.

## Summary
Suraj Gupta's Expo Stage 3 SW session frames Warp's work as part of the World's Fair software-factories theme: AI-native development systems where coding, review, orchestration, and quality gates are increasingly handled by coordinated agents. The talk focuses on how Warp is thinking about self-improving agentic developer environments, including dedicated agents that update skills, persistent memory that carries lessons across harnesses, and feedback loops that let a software factory improve from its own outcomes rather than remaining a static automation pipeline.

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

## People
- [[suraj-gupta]]

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

## Synthesis
### Synthesized Breakdown
# Warp: Building Self-Improving Agent Software Factories ## Conference Context - Date/time: 2026-06-30 · 1:55pm-2:15pm - Track/room: track TBD · Expo Stage 3 SW - Speaker(s): Suraj Gupta - Session type/status: session · confirmed - Track: track TBD - Room: Expo Stage 3 SW - Session type: session - Status: confirmed ## Session Description We are in the era of Software Factories, where the entire SDLC is being automated by agents. We will cover how we are approaching self-improving software factories leveraging dedicated agents to update skills, persistent cross-harness memory, and implementing feedback loops to ensure that software factories continually improve. ## 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.

### Speaker And Company Context
- No speaker profile is attached in the official schedule data.

### 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.
