Code Session Debugger & Analyzer

Developers using AI code assistants (Claude, etc.) struggle to debug failed sessions and understand what went wrong. Build a tool that analyzes session logs, identifies errors, and suggests fixes. Target AI-assisted developers and teams using Claude for coding.

AI coding assistant adoption is accelerating fast enough that session failure analysis is becoming a real pain point — teams are burning hours re-running broken Claude and Copilot sessions with no systematic way to understand what failed. No clear incumbent owns this specific niche, though players like Sentry and Datadog handle adjacent observability problems at the infrastructure level. The $1k–5k/month revenue band is realistic but modest, suggesting this works better as a usage-based or seat-licensed add-on than a standalone company — it's priced like a utility, not a platform. The biggest risk is that the AI coding assistants themselves (Anthropic, OpenAI, Cursor) build session diagnostics directly into their products, collapsing the market before there's time to establish a defensible position.