Every processed story in chronological order, with the newest coverage first. Filter by tag, source, or score to drill in.
The tool fills a gap left by AI coding assistants that either omit usage data or silo it per-tool, giving developers a single aggregated cost and token view across Claude Code, Codex, and Cursor without requiring any changes to those tools.
Developers using agentic coding assistants can now give those agents live production telemetry and trace data, enabling automated root-cause analysis and fix suggestions without leaving the editor.
CLI users can now set model selection to `auto` and let Copilot optimize model choice per task, eliminating the need to manually evaluate and switch between models for different coding workflows.
Developers looking to get started with GitHub Copilot CLI can use this tutorial as a concrete, low-stakes project template for understanding how to integrate AI assistance into everyday terminal-based coding workflows.