AI Coding Agent Observability Suite

An observability and debugging tool specifically for AI-powered coding agents (like Cursor, Claude, etc.). Provides visibility into agent decision-making, token usage, API calls, and performance metrics to help developers optimize their AI coding workflows.

Agentic coding workflows are proliferating fast — Cursor crossed a billion in ARR run rate and every serious dev shop is now running multiple AI coding tools simultaneously — which means token waste, runaway API costs, and opaque failure modes are real pain points that didn't meaningfully exist 18 months ago. No clear incumbent owns this space; LangSmith touches adjacent territory for general LLM apps but doesn't focus on coding-agent-specific observability like step-by-step decision traces or IDE integration context. The $10k–50k/mo revenue band is plausible if you can land 20–50 mid-sized engineering teams at $500–1k/seat, but that requires either a strong bottoms-up adoption loop or direct sales, neither of which is trivial for a new devtools company. The biggest risk is that Cursor, Anthropic, and OpenAI instrument their own tools natively and make third-party observability redundant before you reach meaningful scale.