SideSeat turns traces into local workbench

Strong product fit for teams that already care about observability, but want agent debugging to feel as interactive as an IDE instead of a logs hunt.

• –The built-in MCP server is the sharpest part of the pitch: it lets coding agents inspect real runs, which turns observability data into an active debugging surface
• –OpenTelemetry-native integration lowers adoption friction because it can sit on top of existing Bedrock, OpenAI, LangGraph, LangChain, and similar stacks
• –The local-first posture is credible and useful for privacy-sensitive prompts, PII, and internal workflows that should not leave the machine
• –This is more infrastructure/devtool than end-user AI app, so its value depends on whether teams adopt it as the default trace layer for agent work
• –The positioning is broad enough to compete with both tracing tools and agent workbenches, but the winner will likely be whoever makes the loop from failure to fix fastest