Sign up for the
Software Factory Intensive

April 21st – 22ndSeattle, WAIn-person
Event by
AI Tinkerers
Hosted by
Actual AI

//SPEAKERS

Meet the instructors

John Kennedy
John Kennedy
Founder
Actual AI
Chris Sells
Chris Sells
AI Engineer
GasCity
David Miura
David Miura
Founding AI Engineer
Actual AI
Kevin S Lin
Kevin S Lin
AI Engineer
OpenAI
Klaus Bravenboer
Klaus Bravenboer
Founder
Hack Humanity
Caleb John
Caleb John
AI Engineer
PSL

//WHO SHOULD ATTEND

Built for engineers who ship

Software Engineers
Individual contributors who want to multiply their output and ship production-quality features at agent speed.
Engineering Teams
Teams looking to standardize on an AI-powered workflow that keeps humans in control without slowing down delivery.
Tech Leads & Architects
Leaders responsible for tooling decisions who need a clear-eyed view of what an AI software factory looks like in practice.
CTOs & Engineering Managers
Executives exploring how to reduce cost and compress timelines without sacrificing code quality or security.

//BENEFITS

What you'll walk away with

01
Ship in days, not months
Build systems and interfaces at a pace that was previously impossible — powered by an automated AI software factory you control.
02
Control your token spend
Configure and own an open-source software factory so you never hand over cost control to a black-box API.
03
Agents that run around the clock
Deploy a multi-agent orchestrator to your cloud of choice and let 100+ coding agents work 24/7 — long after you've closed your laptop.

//THE SHIFT

The new way to build

How Code is Changing
Yesterday
Code is artisanal
Each line of code is written by hand
Today
Spec-driven development
Concepts and algorithms are written in English. Coder works directly with an agent to publish code.
Tomorrow
Autonomous development
The software engineer builds the software factory that can act as planner, architect, designer, coder, reviewer, and devops engineer.
SDLC → Factories
Always Has Been

Software Development Lifecycle

Software Development Lifecycle — the process of how we plan, build, test, and ship software. The discipline doesn't change.

Manual Development
Now Being Done As

Factories

Today, doing SDLC means building factories. The how has evolved — AI executes the lifecycle through orchestrated, spec-driven systems.

Agent-driven development
What Participants Learn
Learn 01
AI Coding

Prompting, iteration loops, memory, and AI-native workflow design

Learn 02
AI Agents

Multi-agent systems, orchestration patterns, and scaling to teams

Learn 03
AI Code Factories

Build the full factory: spec → design → code → test → review → deploy

//WORKSHOP PLAN

Build Your Agent Factory

Development Pipeline
Step 01
Start a Project
What do you want to build?

Define your idea, goal, or problem. Your vision in plain language — what you want to build and why it matters.

Step 02
Project Manifest
idea → structured intent

AI transforms your idea into a Project Manifest — goals, scope, constraints, roles, and success criteria. The living document that drives every factory decision.

Step 03
Software Factory Spec
Project-specific SDLC blueprint

Generated from your manifest, specific to your project. Maps the full SDLC: workflow stages, agent roles, coding standards, quality gates, and deployment rules.

Step 04
Building your Agent Factory
CORE BUILD PHASE
Agent Storage

Metadata that operates the factory

Test Cases
Unit, integration & E2E test templates
Perf Specs
Performance benchmarks & SLAs
Security Model
Access controls, trust boundaries, guardrails
Pricing Model
Token budgets & API cost thresholds
Agent Operation

The structural blueprint for ongoing agent operation

// Architect
Rules for operation
Set and update architectural rules
// Plan
Work breakdown
Create work packages for agents based on high level goals
// Design
UX systems
Create and update design systems. Deploy storybook demos.
// Validate
Test Cases
Validate acceptance criteria and build tests
// Build
Code
Generate code using artifacts and continual test output
// Review
Code Review
Automated review — style, security, and spec compliance
// Deploy
Release Gate
Quality gate — all checks must pass before shipping
// Improve
Feedback Loop
Runtime data feeds back into the spec and memory

//2-DAY WORKSHOP

Workshop details

Date & Location
Date
April 21–22
2 day intensive · 8:00 AM both days
Format
In-Person
Hands-on workshop · bring your own project
Location
Seattle, WA
Downtown · Exact venue shared with registered attendees
Schedule
DAY 1
Breakfast
8:00 – 9:00
Coffee and light breakfast · Registration & check-in
Introduction
9:00 – 9:30
The Future of Software Factories
Orientation
9:30 – 10:30
Factory Roadmap for Your Project
Workshop
10:30 – 11:30
Optimize the Individual AI Workflow
Lab
11:30 – 12:30
Build a Structured Development Loop
Lunch12:30 – 1:30dietary needs accommodated
Workshop
1:30 – 2:15
Design the 6-Agent Software Factory
Lab
2:15 – 3:30
Deploy Planner + Architect Agents
Break3:30 – 3:45Help desk available
Lab
3:45 – 5:00
Deploy Designer + Coder Agents
Wrap-up
5:00 – 5:30
Factory Checkpoint & Day 2 Preview
DAY 2
Breakfast
8:00 – 9:00
Coffee and light breakfast · Help desk open
Introduction
9:00 – 9:30
From AI Assistants to Autonomous Delivery Teams
Workshop
9:30 – 10:15
Architect Multi-Agent Coordination
Break10:15 – 10:30Help desk available
Lab
10:30 – 11:45
Deploy Reviewer + DevOps Agents
Workshop
11:45 – 12:30
Create Continuous Improvement Loops
Lunch12:30 – 1:30dietary needs accommodated
Capstone Lab
1:30 – 3:00
Run the Software Factory End-to-End
Break3:00 – 3:15Help desk available
Troubleshooting
3:15 – 4:15
Facilitator-led factory troubleshooting
Closing
4:15 – 4:45
From Workshop to Real Operating Model
Pricing
Early Bird
$500
Early Bird
Book a spot before the price goes up on April 1.
Regular
$750
Regular Price
Standard admission after early bird closes.
Group
$600
Group (5+)
Per person for teams of 5 or more.
Next step

Join the intensive

Reserve your spot, or explore sponsorship to put your brand in front of engineering leaders building AI-native software factories.

Sponsors

Lunch Sponsor

Pioneer Square Labs