Reforge + Prefab = ❤️
We are excited to announce that Prefab is now part of the Reforge platform and team. You can sign up today and start using Prefab’s feature flags and dynamic configuration.
From Insight to Launch
Traditional product teams and processes weren’t built for the AI-era. Over time the process to go from product insight to launch got super complex. Numerous sequential steps, each powered with multiple tools, handoffs, specialists, and more.
AI has created the opportunity to “collapse the stack” as Scott Belsky, Former CPO at Adobe, calls it and enable “Full Stack Builders” as Tomer Cohen, CPO at LinkedIn has described. The result will not only be speed from Insight to Launch, but more importantly better products.
This transition will not only require new knowledge and learning, but a new platform. Since early this year Reforge has been on a mission to build this platform:
First with the launch of Reforge Insights which aggregates, analyzes, and acts on your customer data.
Next with the creation of Reforge Research which helps you capture new insights with AI-powered user interviews and surveys.
Most recently with the closed beta of Reforge Build which helps you explore and prototype ideas for your existing product.
Prefab helps us fill in the final step - Launch. Launches are the last mile between your team’s best ideas and your customer’s actual experience. When they’re slow, opaque, or brittle, you can’t iterate at the pace AI makes possible. When they’re fast, visible, and controllable, you unlock an entirely new rhythm of building and learning.
This isn’t just about feature flags or configs. It’s about building a modern launch layer. One that’s AI-enabled, understands the nuance of your feature releases, and makes live product state a first-class part of your stack.
With Prefab, your launch layer becomes the source of ground truth across a complex feature surface area, so every part of your product stack knows exactly what customers are experiencing.
“Every product team eventually hits the wall where nobody knows exactly what customers are seeing. In an AI-native world, that wall comes faster — and hitting it hurts more.” - Jeff Dwyer, Founder + CEO, Prefab
And now with Prefab, product teams can manage feature flags, AI configs, and more seamlessly, to keep pace with the increased shipping velocity
“If AI is going to rewrite how we build products, we have to rewrite how we launch them. Prefab gives us the foundation to do both.” - Brian Balfour - Founder + CEO, Reforge
What’s next?
In the coming months, Prefab’s feature flag and config system will be rebranded to Reforge. It will maintain all existing functionality plus additional development as the backbone of Reforge’s launch capabilities. You can start using it today, with the same reliability and power you’d expect from established feature flag platforms, at a fraction of the cost.
Our mission isn’t just faster launches. It’s to close the gap between build speed and learning speed, so product teams can move at AI speed with confidence.
We’d love to talk with teams who feel these bottlenecks most acutely. Let’s explore how to break through them together.
Reforge + Prefab = ❤️
We are excited to announce that Prefab is now part of the Reforge platform and team. You can sign up today and start using Prefab’s feature flags and dynamic configuration.
From Insight to Launch
Traditional product teams and processes weren’t built for the AI-era. Over time the process to go from product insight to launch got super complex. Numerous sequential steps, each powered with multiple tools, handoffs, specialists, and more.
AI has created the opportunity to “collapse the stack” as Scott Belsky, Former CPO at Adobe, calls it and enable “Full Stack Builders” as Tomer Cohen, CPO at LinkedIn has described. The result will not only be speed from Insight to Launch, but more importantly better products.
This transition will not only require new knowledge and learning, but a new platform. Since early this year Reforge has been on a mission to build this platform:
First with the launch of Reforge Insights which aggregates, analyzes, and acts on your customer data.
Next with the creation of Reforge Research which helps you capture new insights with AI-powered user interviews and surveys.
Most recently with the closed beta of Reforge Build which helps you explore and prototype ideas for your existing product.
Prefab helps us fill in the final step - Launch. Launches are the last mile between your team’s best ideas and your customer’s actual experience. When they’re slow, opaque, or brittle, you can’t iterate at the pace AI makes possible. When they’re fast, visible, and controllable, you unlock an entirely new rhythm of building and learning.
This isn’t just about feature flags or configs. It’s about building a modern launch layer. One that’s AI-enabled, understands the nuance of your feature releases, and makes live product state a first-class part of your stack.
With Prefab, your launch layer becomes the source of ground truth across a complex feature surface area, so every part of your product stack knows exactly what customers are experiencing.
“Every product team eventually hits the wall where nobody knows exactly what customers are seeing. In an AI-native world, that wall comes faster — and hitting it hurts more.” - Jeff Dwyer, Founder + CEO, Prefab
And now with Prefab, product teams can manage feature flags, AI configs, and more seamlessly, to keep pace with the increased shipping velocity
“If AI is going to rewrite how we build products, we have to rewrite how we launch them. Prefab gives us the foundation to do both.” - Brian Balfour - Founder + CEO, Reforge
What’s next?
In the coming months, Prefab’s feature flag and config system will be rebranded to Reforge. It will maintain all existing functionality plus additional development as the backbone of Reforge’s launch capabilities. You can start using it today, with the same reliability and power you’d expect from established feature flag platforms, at a fraction of the cost.
Our mission isn’t just faster launches. It’s to close the gap between build speed and learning speed, so product teams can move at AI speed with confidence.
We’d love to talk with teams who feel these bottlenecks most acutely. Let’s explore how to break through them together.