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21 articles summarized · Last updated: LATEST

Last updated: May 29, 2026, 11:46 AM ET

AI Development & Tools

Developers are increasingly engaging with AI tools as evidenced by a growing movement encouraging AI adoption, while simultaneously creating tools to detect AI-generated code issues. AISlop, a new CLI tool, identifies "code smells" in AI-generated code that may pass syntax checks and tests but contain subtle problems. This reflects broader concerns about AI's impact on development, with one developer questioning if AI is causing a repeat of frontend development's "lost decade." Meanwhile, real-time LLM inference achieved 3,000 tokens per second on standard GPUs, potentially enabling more responsive AI development tools, though questions remain about AI sustainability as compute requirements grow.

Developer Tools & Infrastructure

The developer community continues to innovate with new tools and infrastructure improvements. A new web-based terminal, Wterm, brings traditional terminal functionality to web browsers, expanding accessibility for remote development. Git users exploring advanced workflows can benefit from local Git remotes REF: