Telling your agent “no” is a moat now, rearward deployed engineers, and harnessing the context for your SDLC

This week on the Friday Deploy, Ben and Andrew explore Uber's strategy of "rearward deploying" engineers to spread agentic AI workflows into departments like legal and marketing. They also dive into Anthropic making Claude Code's Auto Mode the default, Meta's new on-device Muse Glimmer model, and Tim O'Reilly's case for an open source AI ecosystem. Finally, they break down context engineering for the SDLC and examine new research showing why generalized agent skills outperform personalized ones. 

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Follow today's stories:

• After starting the tokenmaxxing panic, Uber's CTO is back with a very different AI story
• Auto mode is now the default in Claude Code for Pro, Max, and Team plans
• Introducing Muse Glimmer: An Open Agentic Model That Runs on Your Device
• Why Open Source Matters for AI
• Your SDLC is your context engineering
• Do personalized skills help coding agents? An empirical study of developer interaction histories

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