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This post discusses how to make MCP toolchains work using a framework where the MCP servers do most of the work while models walk breadcrumbs. Models don't plan - they look at the conversation, scan the tool list, and grab whatever looks most probable. Making effective chains means making sure the server makes the next call blindingly obvious at every step.

As AI agents automate implementation, software engineering value is shifting from writing code to exercising judgment about what to build and why. Product engineering now requires humans to own implementation consequences and user impact, making strategic decision-making the most durable skill for engineers.

Anthropic has introduced new connectors for its AI chatbot Claude that allow it to integrate with major creative tools like Adobe Creative Cloud, Blender, Ableton Live, and others. These connectors let Claude access data, assist with tasks, and interact directly within these apps, aiming to streamline creative workflows and reduce repetitive work. The move builds on Anthropic's push into the creative industry, positioning Claude as a tool for faster ideation and broader capabilities rather than a replacement for human creativity.