Blueplane
Blueplane automatically captures and indexes every AI coding session from tools like Cursor, Claude Code, and Codex into a searchable library. Teams can query session data via dashboard, API, or MCP to analyze token spend, model performance, and shipping activity. The platform stores complete transcripts including prompts, tool calls, and subagent activity, with plans starting at $40/month for individuals.
- Developer Tools
- Data & Analytics
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Engineering teams using AI coding assistants lose visibility into how work actually gets done. Session data is ephemeral, making it impossible to answer questions about tool usage, model performance, token spend, or individual contribution patterns across a team.
Solution
Blueplane automatically captures and indexes every AI session from platforms like Cursor, Claude Code, and Codex into a searchable library. The platform stores complete session data—including prompts, tool calls, file reads, and subagent activity—so teams can reconstruct exactly what happened in any session. Users can query the library through a dashboard, API, or MCP integration to analyze token spend by project, determine which models perform best for specific task types, and review what was shipped each week. The library becomes more valuable over time as historical data accumulates, enabling trend analysis and workflow optimization.
Target Audience
Primary customers are software engineering teams and individual developers who use AI coding assistants and need visibility into their AI-assisted development workflows for cost management, quality assurance, and performance review.
Features
- Complete session capture across Cursor, Claude Code, Codex, and other AI coding tools with full transcripts including prompts, tool calls, and subagent activity
- Searchable session library with filters by project, work type, tool, person, and time period
- Analytics dashboard showing token spend by project, model performance benchmarks (e.g., claude-opus-5 at 71% first-try success for migrations), and individual usage patterns
- API and MCP access enabling teams to query session data programmatically or through their existing workflow tools
- Pull request correlation showing which sessions led to merged code, with linked repository and session counts
- Usage tracking that identifies active versus inactive team members with session frequency metrics
- Cloud capture through OpenTelemetry, with optional local device capture for sessions that never touch the cloud
- Deployment options ranging from multi-tenant cloud to dedicated tenant or self-hosted for enterprise security needs