Communicating a complex developer tool can feel almost as hard as building it. At CodeYam, the team has been using AI not just to write code, but to pressure test how the product is explained. Product designer Dani Raskovsky shared a write-up on our approach. Link in the comments.

When should AI “just do it” and when should it rely on tools? For many software development tasks, the issue isn’t model capability. It’s complexity.

🤔 Curious about if the current wave of AI-native prototyping tools are as magical as early adopters say? Our team is too. Our product designer put @v0.dev, @cursor.com.web.brid.gy, Lovable, and @bolt.new to the test to redesign our website. Full comparison here: blog.codeyam.com/p/testing-th...

New on our blog: AI Can't Read Your Mind...But Iteration Is Expensive. The challenge of working with large language models on complex projects. blog.codeyam.com/p/ai-cant-re...

💡 New on the CodeYam Blog: "LGTM: Designing a Great Developer Experience" by our Product Designer, Dani. Explore how thoughtful design can help speed up and improve the quality of feedback loops across design, development, and product.

In today's new blog post, CodeYam CTO and Co-founder Jared Cosulich explores how we might leverage abstraction and isolation as strategies for software development with AI.

Just released: a new CodeYam product demo that digs into a new way to navigate software’s complexity. Learn more & watch the demo: open.substack.com/pub/codeyam/...