Designers are doing the best work of their lives at @FactoryAI Join us: factory.ai

One of my favorite designs for Factory

Factory is crushing it

graphic designers: reply with a redesigned graphic and I literally hire you

We have raised $200M at a $5B valuation to scale self-improving software development in the enterprise. @FactoryAI has grown to serve hundreds of thousands of developers at companies including RBC, Adobe, Nvidia, T-Mobile, and Palo Alto Networks. We will use this capital to accelerate our investments in research, product, and global go-to-market.

So much discussion about whether we should be using Chinese open-source models in the US. But how could they actually hurt us? Matan Grimberg @matanSF breaks down the biggest risks- 1. Intentional vulnerabilities. A model could contain backdoors, sleeper behavior, or other weaknesses deliberately introduced into the weights, potentially sitting dormant until the right conditions trigger them. 2. Unintentional vulnerabilities. A model built in China will naturally be trained and optimized around Chinese users, codebases, languages, and data. It could perform incredibly well overall while having subtle blind spots or security weaknesses in Western systems that nobody intentionally put there. The third we may not know for years. The most concerning failures might not show up in today’s benchmarks or security evaluations. If models become deeply embedded across companies and infrastructure, vulnerabilities could emerge only after we’ve become dependent on them.

graphic design portfolios should not have words

Excited to share that all SpaceXAI models and all OpenAI models are available 60% off for the next week in @FactoryAI. Two genuinely fantastic model families that complement each other in ways that make them better than the sum of their parts!

You can finally stop pretending to know what an MCP server is.

The age of designing in a cave for a week and emerging with polished mockups is over. Sit next to an engineer for 30 minutes, transcribe, paste in @FactoryAI, load design skills, let Droid cook. Proximity to engineers is directly correlated with designer productivity.

Many designers are using AI tools as a substitute for skill, experience, and instinct. Your value as a designer is being able to see things differently from your peers. Your value is in having a unique sensitivity to the friction points in your user flows, and a spidey sense for intuitive patterns. Then, being able to turn those intangible thoughts and feelings into precise language that accurately describes the problem: Vibe coder: “Make the design cleaner.” Designer: “Keep the same information density, but increase the visual separation between section headings and field labels" Expertise is being able to perceive nuance and articulate with specificity.

Very glad to hear that Devin, the first AI software engineer, has started to use @FactoryAI

Introducing Agent Effectiveness. Measure Factory usage across cycle time, work priorities, and shipped artifacts, so you can actually see what your AI spend produces.

Everyone looks at the biggest block. I look at the smallest ones. This treemap shows where Droid is doing the heavy lifting, and where it's barely being used yet.

if your portfolio site has a chat box, you've lost the plot

Nothing sparks more disbelief here than mentioning that @FactoryAI ships a dozen products with only 30 engineers. Once you've built a software factory, it becomes autonomous

Excited to be speaking alongside design leaders from Harvey, Notion, Mercor, and Decagon this evening during Config!