How has AI impacted developer marketing messaging? What new messaging techniques can PMMs adopt to be more effective because of AI?

AI has transformed developer marketing by enabling hyper-personalization, allowing marketers to speak directly to a developer’s specific challenges and use cases. For example, instead of sending generic emails about a new API, you can now use AI to analyze developer behavior—like the programming languages they use or the types of projects they build—and tailor messaging accordingly.

Imagine a developer working on a Python-based data pipeline. With AI, your outreach could focus on how your product simplifies ETL workflows, including a code snippet or tutorial specifically for Python users. Messaging like, "Automate your ETL pipeline in under 10 minutes with our Python SDK—see how your peers are reducing processing time by 50%," feels relevant and actionable.

This level of personalization not only captures attention but builds trust, as developers see your product addressing their exact needs. By leveraging AI for this kind of focused, user-specific messaging, PMMs can make their outreach far more effective.