AI Product Management: How to Master Problem Shaping in the Age of AI Agents
1 months ago 高效码农The Modern AI Product Manager: Thriving in the Age of Agents When I joined Google three months ago, I witnessed what felt like three years’ worth of AI progress: Gemini 3 Pro and Flash, the Interactions API, Nano Banana Pro, the Gemini Deep Research Agent, Antigravity Agentic IDE, the Gemini Live API with Native Audio, and ADKs for Python, Java, Go, and TypeScript with state-of-the-art context handling. This unprecedented acceleration isn’t unique to Google—every major and emerging AI company is shipping at breakneck speed, thanks to AI coding agents. This revolution isn’t just changing technology—it’s fundamentally transforming product management. The …
Distributed Agent Orchestration & AI: How the Engineering Bottleneck Has Shifted Forever
1 months ago 高效码农AI and Distributed Agent Orchestration: What Jaana Dogan’s Tweet Reveals About the Future of Engineering A few days ago, Jaana Dogan, a Principal Engineer at Google, posted a tweet: “Our team spent an entire year last year building a distributed Agent orchestration system—exploring countless solutions, navigating endless disagreements, and never reaching a final decision. I described the problem to Claude Code, and it generated what we’d been working on for a year in just one hour.” This tweet flooded my Timeline for days. What’s interesting is that almost everyone could find evidence to support their own takeaways from it. Some …
AI App Trends 2026: The Critical Shift from Making Tools to Thinking Partners
1 months ago 高效码农The AI App Landscape in 2026: The Paradigm Shift from “Making Tools” to “Thinking Partners” Having delved into the insightful notes on AI applications for 2026, grounded in observations from 2025, a clear and compelling picture of the near future emerges. The current AI application ecosystem is maturing in ways both expected and surprising. We have cracked the code on making software development cheap, yet this reality hasn’t permeated enterprises or the world to the extent its low cost implies. We’ve likely realized less than 10% of its potential impact on how companies are built and what software will exist. …