Whilst domain-specific, the multi-agent pattern for analysing technical files could work for other engineering workflows where we need rapid feasibility assessments.

Standard graduation rhetoric, but the underlying point holds: we're building the infrastructure for everything that comes next. The timing advantage is real.

This addresses a genuine pain point in agent development. When Claude breaks our codebase, we need to know which conversation caused it. The blame functionality looks particularly useful for debugging.

The autonomous skill creation after complex tasks could fundamentally change how we work with agents. Instead of manually crafting prompts, we'd describe what we want and let the agent build the capability.

The fact that we're seeing frameworks to build MCP frameworks suggests the protocol is gaining real traction. This could become as standard as REST APIs for agent integrations.

This makes MCP servers trivial to build. We can expose our existing Python functions to Claude and Cursor without wrestling with JSON schemas or credential management.