

Burning Tokens, Shipping Less: The New Economics of AI Software Delivery
A conversation on why more AI doesn't always mean more output and what to do about it.
AI promised to 10x engineering teams. So why are so many teams spending more on inference and shipping slower than ever?
We're gathering builders, operators, and product leaders to cut through the hype and talk honestly about the unit economics of AI-powered software delivery — and how a new model, the software factory, is changing the calculus entirely.
Featuring a live walkthrough of Forge (softwareforge.ai) a platform built around the idea that the future of software isn't a single AI assistant, it's a coordinated, cost-aware factory of agents that produces working software end-to-end.
What we'll cover
Why token spend and output quality often move in opposite directions
The software factory model: orchestration, specialization, and feedback loops
How Forge coordinates agents across the full SDLC — from spec to deployment
Real benchmarks: token utilization by benchmark, cycle time, and defect rates
Where human oversight still matters (and where it doesn't)
What to expect
Roundtable + breakout discussions
Two discussion questions sent in advance (takes 5 minutes, come prepared)
Chatham House rules apply: what's said in the room stays in the room
Space is intentionally limited. This forum is the first in a series leading to Forge Summit 2026, our flagship event in September.
Whether you're an engineering leader trying to justify AI spend, a founder rebuilding how your team ships, come find out what the new economics really look like. Seats are limited.