Labs: The Best & Worst Programming Languages For Dev Workflow

The argument about which programming language reigns supreme is about to get a lot more clear with the release of research on the best and worst languages for dev workflow. In this episode of LinearB Labs, CTO Yishai Beeri reveals what the company’s data scientists have discovered about programming-language productivity following analysis of thousands of dev teams and hundreds of thousands of pull requests. Industry-changing research on which programming languages linger under excessively long shipping lifespans and which ones are impressively efficient, this pod should help settle debates that have been entirely subjective up to this point. If your programming language of choice ends up on the wrong side of the spectrum, don’t fret. Yishai and team also came up with recommendations to overcome the hurdles and bottlenecks for languages that require better workflow. Show Notes Register for Interact on October 25th Learn about the power of Continuous Merge Want to try LinearB? Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code. Join our Discord Community OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.