Ruby on Rails creator DHH says he’s done writing code by hand
What changed
David Heinemeier Hansson, creator of the Ruby on Rails web framework, announced he has stopped writing code by hand after 25 years. Since March 2026, DHH has not typed a single line of code himself. At Rails World 2026, he said “English is a better programming language than Ruby,” indicating his shift toward using AI-driven tools or natural language interfaces to generate software automatically. Only a year prior, he was skeptical about AI coding, but now he calls it the most significant development in computing history.
Why builders should care
DHH’s change signals a fundamental shift in how experienced developers may approach software development workflows. Moving from manual coding to AI-assisted or natural language-driven programming could speed up development, reduce human error, and lower the barrier to entry for complex tasks. It also pressures traditional coding practices and tooling ecosystems to adapt quickly or risk becoming obsolete. For builders, ignoring this shift could mean falling behind in efficiency and innovation.
The practical takeaway
Operators and founders should start planning for a development landscape where AI tools play a central role in code creation. Hiring and training may focus more on prompt engineering and oversight of AI-generated code rather than pure manual programming skills. Product teams can leverage this to accelerate feature delivery and reduce technical debt. However, this also raises new challenges around AI reliability, security, and maintainability that will require new governance and expertise.
What to watch next
Look out for more high-profile developers endorsing or abandoning traditional coding practices for AI workflows. Watch how major development platforms integrate natural language and AI code generation features. Pay attention to how tooling companies react—either by doubling down on manual tools or pivoting toward AI-assisted programming. Also, monitor for new risks, such as AI-generated code bugs or security vulnerabilities, emerging as this approach scales across industries.
AI Quick Briefs Editorial Desk