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Kath Korevec

Kath Korevec

Director of Product - AI Developer Assistants (AIDA)

Google Labs

Conference Session

Proactive Agents: Moving Beyond Chat-Based AI

Time: 1:45 PM

Speaker Bio: Director of Product at Google Labs. Previously VP of Product at Vercel, Senior Director at GitHub. Deep DevEx expertise.

Speaker Profile: Full Speaker Profile

Company: Google Labs AIDA (AI Developer Assistants) team. Building Jules (autonomous coding agent) and Stitch.

Focus: Moving beyond chat-based interaction. The vision is for agents to be proactive, ambient, integrated tools rather than reactive chat interfaces.

Slides

Slide: 13-15

Slide

Key Point: This appears to be a gratitude wall or community board where conference attendees shared what they’re grateful for, creating a moment of human connection and reflection during the technical conference.

Literal Content:

  • Dark green/gray chalkboard-style background
  • Handwritten text in various locations answering “What are you grateful for?”
  • Responses include:
    • “I recovered from cancer”
    • “My family”
    • “Life, Health, Peace”
    • “friendship”
    • “nature”
    • “opportunity”
    • “My Daughter”
    • “CAFFEINE, DUH!”
    • “Jesus” (circled with heart)
    • “my first NYC marathon with my family”
    • “TRAVEL”
    • “¡VIVA ESPAÑA!”
    • “God’s Grace n’ Mercy!”
    • “Days in NYC w/ my love life”
    • Various doodles and small illustrations

Slide: 13-58

Slide

Key Point: Demo of an AI coding assistant that can automatically identify and execute development tasks from a backlog, showing features like finding bugs, writing code, and documentation, with the ability to track and execute multiple refactoring and implementation tasks.

Literal Content:

  • Left side: Large text “DEMO” on dark background
  • Right side: Purple gradient interface showing:
    • Repository: “robattract-ai/aeth-python” (main branch)
    • “Start” button with play icon
    • Three action options: “Find and fix a bug”, “Write code”, “Document my code”
    • Section: “Recommended for robattract-ai/aeth-python”
    • List of tasks with play buttons and status indicators:
      • Remove LRO Polling Workaround in Express Mode
      • Remove Streamlit Timeout Workaround (with checkmark)
      • Implement Flash Reason in Claude Integration
      • Refactor Tool Appending Logic
      • Refactor Unitary to Streaming Content Translation
      • Add Support for Service Account Credential Exchange
      • Refactor Tool Declaration Merging
      • Implement Cancellation Logic for A2A Agent Executor
      • Implement Server-Side Filtering for Memory Search

Notes

  • Needed to remind the husband to do the dishes — Jules is about the mental load
    • That’s where we are with async agents today
    • We are serial processors not multiple ones
    • “Humans are unitaskers”
  • Trust
    • Know when to step in
    • To know what’s missing
  • Most tools are fundamentally reactive
  • “Imagine when compute isn’t a limiting agent at all”
  • 4 things
    • Observation
    • Timely action
    • Personalization
      • Learn how you work, what you tend to ignore
    • Seamless integrations
  • Proactive system like Nest learning, like a good collaborator
  • Jules is focused on the code awareness now, but moving to system awareness
    • Memory — how to write its own memory
  • Demo gods didn’t work
  • Tasks
    • Suggested tasks
    • Recommended tags
    • It comes up with the prompts!
    • Gives context of the code and also rationale on what to do
  • A giant case study
    • Where do they get these doom style graphics
    • Built a 6 foot animatronic head that sits in the window
    • For Halloween
    • Pee-wee Big Adventure
    • Built the firmware and stepper motors to control the sensors with Jules
    • Prompt -> ten minutes -> repeat — a tedious process
    • Wanted to focus on the creative parts
  • The patterns of how we use an IDE right now might not exist at all next year
  • “Don’t be afraid to question the new ways of building software”
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