Learn how AI streamlined the product design sprint process for a crowdfunded events platform, from idea generation to user testing. It highlights the strengths of AI-assisted design and identifies areas for improvement.
Transitioning the codebase from using environment variables to Rails Credentials for Zero-Downtime Deploys.
Early in the product lifecycle, there’s no one better placed to gather data for business decisions than a developer. Here are some examples of what (and how) Rails developers can contribute with “hacky answers”.
Think AI can’t be ethical? Think again! Check out the cheat code for creating innovative, user-trusting, privacy-first products. Ready to try the ®REPEATS method? 🔍💻
Tests provide value beyond verifying behavior and catching bugs. Reading, writing, and interacting with tests empower developers to observe – and therefore gain knowledge about – their complex codebase.
Gender is not a binary, and a binary is not a boolean.
Spoiler: Things wait. A lot. A tale of efficiency, but for whom?
A few best practices to keep in mind when getting started with Hotwire and Rails.
Learn how to work with large language models (LLMs) like ChatGPT in our AI learning series. You’ll be implementing your first AI features in no time. Register for the sessions and access recordings.
We can do a lot more than generate one line of code at a time with large language models. Here are some other “LLM for coding” ideas.