27 articles on AI tools, agents and the craft of technical program management, written by Gianfranco Mileo, TPM at Google.
Forget the hype. AI is here, and it's fundamentally changing how Technical Program Managers get work done. From release planning to risk tracking, learn how to leverage these tools to automate the drudgery and focus on what truly matters.
Hand-crafting LLM prompts is a bottleneck. DSPy is changing the game, turning prompt engineering into a systematic, optimizable process. This is how we build AI products that scale.
TPMs are buried in data and comms. I've been there. AI isn't science fiction; it's a practical co-pilot for your daily grind, automating the grunt work so you can focus on strategy and impact.
AI isn't just for researchers or developers anymore. For Technical Program Managers, it's a game-changer for daily workflows. I'm cutting through the noise to show you how practical AI tools can automate and accelerate release planning, stakeholder syncs, risk tracking, and retrospectives.
The Model Context Protocol (MCP) is the missing bridge between your AI assistant and every Google Workspace tool you use daily. Here's how TPMs can build one — with real code, real ideas, and real impact.
Will AI replace program managers? After 5+ years at Google and watching this transformation from the inside, here's my honest take.
Before Google, I built GFM Corp from scratch. Looking back through the lens of today's AI tools, here's what would have been different.
Deep technical reviews require understanding thousands of pages of context. Here's how I use NotebookLM to prepare for reviews in a fraction of the time.
AI can flag risks and suggest solutions, but knowing when and how to escalate is still a deeply human skill. Here's my framework for technical escalation.
I built an AI agent that writes weekly blog posts about AI in program management. Here's the architecture, the decisions, and what I learned about AI content quality.
I've managed programs using everything from sticky notes to enterprise software. Here's where AI fits in the evolution — and where it's still falling short.
Working on Camera and Media in the Android ecosystem has given me a front-row seat to how AI is transforming mobile experiences — and how we manage that complexity.
