TechCrunch reports that developers have become so attached to AI coding tools that METR struggled to repeat a no-AI control study. Earlier research found developers felt more productive with AI, while measured task completion could be slower due to debugging, steering, and waiting. The article warns that token usage and code volume are weak productivity proxies if AI-generated code creates more bugs, review work, and long-term maintenance costs.
Vercel 宣布推出 Conformance 與 Code Owners 兩大新功能。Conformance 是一套自動化程式碼品質與安全檢查系統,能在大規模開發中確保最佳實踐;Code Owners 則能自動將程式碼變更指派給負責的團隊成員進行審查。這兩項功能旨在幫助企業與開發團隊在追求開發速度的同時,維持系統的穩定性與安全性。
Vercel 宣布推出 Vercel Spaces,旨在解決大型組織在管理 Monorepo(單一程式庫)時的協作與品質挑戰。Spaces 提供了專案依賴關係的視覺化圖表、明確的程式碼擁有權(Code Ownership)劃分,並整合了 Conform 政策引擎,讓團隊能在不犧牲開發速度的前提下,自動化執行程式碼品質與安全標準,實現規模化的優質軟體開發。