GitHub's public-preview code-review upgrade ties Copilot to custom agent skills and MCP servers

GitHub says Copilot code review now supports custom agent skills and MCP server connections in public preview for current paid Copilot tiers.

Artificial Analysis refreshing its coding-agent index is useful because cost, tokens, and score belong in the same frame

Artificial Analysis has refreshed its coding agents index with score, token, and cost detail, producing a stronger operator signal than a simple leaderboard update.

A practitioner MCP case study is still worth covering when it shows a concrete coding workflow gain

Santiago Valdarrama is sharing an MCP-server workflow case study tied to faster AI and ML coding work, which makes it a useful practitioner signal even in a batch that already covered larger MCP architecture claims.

LiteParse v2 matters because document parsing is still where many research agents quietly fail

Jerry Liu is highlighting LiteParse v2 as a structured PDF parsing tool for research agents, putting attention on a reliability bottleneck that is less glamorous than model launches but often more determinative of downstream quality.

Google AI's weekly launch roundup spotlights Gemini 3.5 Live Translate and NotebookLM's agent upgrade

Google AI used its weekly product roundup to highlight Gemini 3.5 Live Translate and a major NotebookLM upgrade that adds more agentic chat behavior and deeper reasoning.

NVIDIA's one-command DGX Spark to NemoClaw path is a useful local-agent infrastructure signal

NVIDIA is highlighting a one-command path from DGX Spark setup to an operational agent workflow, a practical signal because installation friction still decides how many local and on-prem agent projects ever get past demo stage.

Artificial Analysis is reframing coding-agent evaluation around efficiency, not just leaderboard prestige

Artificial Analysis says AA-AgentPerf measures coding-agent performance alongside power efficiency, which makes the signal more interesting than standard benchmark talk because it sounds closer to deployment economics than to model theater.