Rails originator roasted over Rust boosterism
David Heinemeier Hansson, creator of Ruby on Rails, posted benchmark results on Sunday claiming AI-agent rewrites of his company's Campfire group chat app in Rust, Go, and Elixir outperformed the orig…
David Heinemeier Hansson, creator of Ruby on Rails, posted benchmark results on Sunday claiming AI-agent rewrites of his company's Campfire group chat app in Rust, Go, and Elixir outperformed the orig…
David Heinemeier Hansson, creator of Ruby on Rails, had coding agents port 37signals' Campfire chat app to Rust, and repository benchmarks run October 1st show the Rust version serving a room page at …
President Donald Trump signed an executive order on Tuesday directing the General Services Administration to make America.gov the federal government's single digital point of entry and to integrate Lo…
Developer innocentdiaz released s1_ruby, a Ruby gem that adds System One (S1) measurement and a "collapse" operation over meaning as a native Ruby primitive, with a companion Ruby on Rails implementat…
A software developer with more than a decade of professional experience argues that reading and understanding AI-generated code is not sufficient, because developers lack the domain and ecosystem expe…
Cognition released SWE-2, a coding model scoring 50% on FrontierCode 1.1 Main — within one point of Fable 5.1 — at 64% lower cost, built on a 2.8-trillion-parameter Kimi K3 base with RL post-training.…
AI agents can safely customize existing Mac and Windows desktops when given scoped, limited control through tools with readable config files and documented commands, such as Aerospace on Mac, Apple Sh…
Two critical vulnerabilities are being actively exploited to steal AI API keys and cloud credentials: CVE-2026-0768 in Langflow 1.4.2 and earlier (CVSS 9.8, no authentication required) and CVE-2026-66…
David Heinemeier Hansson, creator of the Ruby on Rails framework and CTO of 37signals, told Lex Fridman in a five-hour interview posted August 26 that AI agents wrote all the code shipped in Omarchy Q…
Evil Martians, a Ruby on Rails consultancy, discovered that its internal AI assistant Ocean could leak sensitive peer review data through read-only SQL queries, prompting the company to implement acce…
A developer's week-long comparison found OpenAI's Codex produced simpler Ruby/Rails code with fewer comments than Anthropic's Claude, but required more explicit instructions and caused a rebase mishap…
GitLab is hiring a Backend Engineer for its AI Engineering team, focusing on GitLab Duo Chat, with a salary range of $115,000–$194,000 per year, remote in Canada or the United States. The role involve…
Joanna Wang, senior software engineer at Sixfold, said on the On Rails podcast that while AI makes code cheap, developers remain valuable because they understand context and make judgment calls. She d…
Cue, a todo app built by an individual developer over several years, exemplifies how building a simple product can practice complex skills in product management, design, and engineering. The developer…
Ruby on Rails published the first public, same-harness benchmark of frontier models performing real Rails tasks, testing 8 models across 21 atomic tasks with 504 runs at a total cost of $491. Claude O…
The Rails Foundation commissioned Evil Martians to benchmark eight frontier and open-weight AI coding agents on Ruby on Rails tasks, releasing the first results today in a new initiative called Agents…
David Heinemeier Hansson, creator of Ruby on Rails and co-owner and CTO of 37signals, said in an August 11th post on X that working with AI has restored a creative urgency he had not felt since his ea…
Ruby on Rails is a strong fit for AI agents because of its token efficiency, predictability, and ecosystem ergonomics, according to an analysis by Martin Alderson, co-founder of CatchMetrics. Alderson…
A developer known as tosane932 published a self-structured 86-hour web engineering roadmap that covers Python automation, Ruby on Rails, and a real-world logistics project for the Hiroshima region. Th…
A staff engineer describes using large language models (LLMs) for writing production code, throwaway code, learning new domains, and last-resort bug fixes, finding them most valuable for non-productio…