supa has launched supateam v2.0, a new version of its AI-powered development platform. The company says the platform automatically collects data from AI coding tools and visualizes usage, costs and work performed, while supporting the identification of issues and improvement measures through AI behavior analysis and interactive analysis using the standard MCP.
On 5 October, supa announced the launch of supateam v2.0, a new version of its AI-powered development platform supateam. The platform automatically collects data from AI coding tools and other sources, making it possible to visualize not only AI usage, costs and work performed, but also reviews, revisions and instances of rework.
The new version automatically collects data via OpenTelemetry from tools used in development environments, including Claude Code, Cursor, Codex, GitHub and Jira. In addition to AI usage and costs, it can visualize the work performed by AI, additional instructions, reviews, revisions and areas where rework occurred. No daily data entry or labeling is required, and the platform can be used without changing the usual development workflow.
The company says the platform also supports the identification of issues and improvement measures through AI behavior analysis and interactive analysis using MCP (Model Context Protocol), a standard for connecting AI applications with external data and tools.
The company points out that, although AI coding tools are becoming more widespread, challenges include the burden of reviewing generated code and uneven usage. supateam v2.0 is said to help users understand the situation by visualizing these factors.