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AI is increasing both the number of pull requests and the volume of code within them, creating bottlenecks in code review, integration, and testing. Here’s how to address them.
GitHub MCP Registry makes Model Context Protocol servers with GitHub repos discoverable from Visual Studio Code.
Google’s Angular team has open-sourced a tool that evaluates the quality of web code generated by LLMs. It works with any web library or framework.
Smarter debug logging helps devs cut through noise, spot issues fast, and keep apps healthy at any scale.
Even though traditional databases now support vector types, vector-native databases have the edge for AI development. Here’s how to choose.
Process improvements and a closer look at funding streams will provide far more protection for the open source software we depend on than isolated guardrails.
Rust developers now can automatically publish all crates in a workspace in the correct order, without manually ordering individual publishes.
Developers are leaning hard into AI coding—but rising costs may slow the momentum.
WebAssembly 3.0 adds support for compiling high-level programming languages, with 64-bit address spacing and the ability to declare multiple memories, among other improvements.
Dana is an AI agent-native language and runtime to empower intent-driven development. Other projects include an AI-native wiki for creating shared human-agent knowledge bases.