Keynote
  1. 09:30–09:40
    Welcome
    John Allsopp
  2. 09:35–09:40
    Opening Words
    Ashling James
  3. 09:40–09:58
    State of the AI Model Landscape
    George Cameron
  4. 10:00–10:20
    Token Town (why compute strategy is product strategy)
    Sarah Sachs
  5. 10:20–10:40
    Everything Is a Factory
    Geoff Huntley
  6. 10:40–11:00
    Why Your Coding Agent Forgets Everything
    Igor Costa
  7. 11:00–11:20
    Three Lanes Below One Millisecond: A Rust SDK for Gemini Live
    Vamsi Ramakrishnan
  8. 11:20–11:30
    Keynote outro
    John Allsopp
AI Engineering
  1. 12:30–12:48
    Evaluation Precedes Evolution: Rubrics as the Load-Bearing Infrastructure of Self-Improving Agents
    Tanya Dixit
  2. 12:50–13:08
    Beyond Forgetful Bots: Architectural Patterns for Persistent, Proactive Claw-Style AI Agents
    Navan Tirupathi
  3. 13:10–13:28
    Shipping Sandboxed Workers for Notion Agents
    Adam Hudson
  4. 13:30–13:48
    Close your agentic loop
    Moss Ebeling
  5. 13:50–14:08
    How Many Agents Are Too Many? The Hidden Cost of Multi-Agent Systems
    Anannya Roy Chowdhury
  6. 14:10–14:28
    Kill the God Agent
    Adesh Gairola
  7. 15:30–15:48
    Agent Observability: Monitoring and Understanding Agents at Internet Scale
    Daniel Nadasi
  8. 15:50–16:08
    Our AI Hallucinated in Production: How We Fixed It With Evals
    Yicheng Guo
  9. 16:10–16:28
    The Application Layer Is the New Research Lab
    Abdul Karim
  10. 16:30–16:48
    Orbital Lasers vs For Loops: Economically Matching Models to Tasks
    Stephen Sennett
  11. 16:50–17:08
    Your AI Can’t Engineer (Yet)
    Theodoros Galanos
  12. 17:10–17:28
    Flue: The Agent Harness Framework, at Cloudflare
    Michael Hart
Software Engineering
  1. 12:30–12:48
    Fail fast, fix faster: Why faster AI models beat smarter ones
    AJ Fisher
  2. 12:50–13:08
    Building Frameworks Building Systems
    Ally Macdonald
  3. 13:10–13:28
    Why AI coding tools might not make the slightest difference
    Jason Cornwall
  4. 13:30–13:48
    Constitutional Prompting: Making AI Coding Agents Reliable Without the Iteration Tax
    Prem Pillai
  5. 13:50–14:08
    From Zero to Production: How 15 Engineers Shipped a Production LLM Product with AI Coding Tools
    Michael Zhang
  6. 14:10–14:28
    Multi-Armed Bandits: The Scientific Shotgun for Evals
    Ron Au
  7. 15:30–15:48
    Engineering for the Agentic Web When 50% of Your Traffic is Robots
    Janna Malikova
  8. 15:50–16:08
    The AI Control Plane: When Your Infrastructure Becomes the Context Window
    Bojan Zivic
  9. 16:10–16:28
    Treating Infrastructure as Data: Building an AI-Native Control Plane
    Jeffrey Aven
  10. 16:30–16:48
    Your Agent Doesn't Like Your APIs
    Mike Chambers
  11. 16:50–17:08
    Agentic Self-Healing in Production
    Jack McNicol
  12. 17:10–17:28
    How Canva built an Agentic Support Experience using Langfuse Observability
    Sergey Iakovlev, Sahil Bahl
Leadership
  1. 12:30–12:55
    Beyond Silicon Valley: Building AI Governance on the Fair Go Principle
    Aubrey Blanche
  2. 13:00–13:25
    Stop Blocking, Start Building: Rethinking Governance for the Agentic Era
    Hamish Songsmith
  3. 13:30–13:55
    Having your cake and eating it: An implementation guide for privacy with AI
    Nick Lothian
  4. 14:00–14:25
    Panel: Governance & Ethics
    Andrew Murphy, Aubrey Blanche, Hamish Songsmith, Nick Lothian
  5. 15:30–15:55
    Regulatory AI: Building Intelligent Compliance into Financial Operating Systems
    Theo Adis
  6. 16:00–16:25
    19Cabs: 1115 drivers, 500 customers, 90 days from idea — and why we still had to stop and rethink AI
    Balram Singh
  7. 16:30–16:55
    Enabling Safe AI Experimentation for Non-Technical Founders
    Inga Pflaumer
  8. 17:00–17:25
    Panel: Case Studies
    AJ Fisher, Theo Adis, Balram Singh, Inga Pflaumer
Hallway
  1. 11:45–12:05
    Build long running AI agents that pause resume and never lose context with ADK
    Nakul Gowdra
  2. 12:10–12:30
    AI Hamsters: Circling Your Way to Success
    Muhammad Ali
  3. 12:40–13:00
    Optimising GenAI at Runtime with Experimentation and Guardrails
    Aaron Montana
  4. 13:10–13:20
    The State of the AI Engineering Job Market in Australia
    Jake Maloney
  5. 13:25–13:35
    Who Needs a LoRA?
    Charli Posner
  6. 13:40–13:50
    Don't Be Cheap: AI and the Appearance of Engineering
    Birger Halfmeier
  7. 13:55–14:05
    The Software Engineer Who Don't Code
    Yasith Fernando
  8. 14:10–14:20
    How to Get Fired as an AI Engineer
    Kanish Gosain
  9. 14:25–14:35
    The Red Flags of Vibe Coding a Dating app
    Karina Pamamull
  10. 14:40–15:00
    One Tool to Rule them all: Building a Fast AI Agent for Real-Time Response
    Ryan Samarakoon
  11. 15:40–16:00
    Everyone Wants AI Capacity Now. Few Are Actually Running It.
    Daniel Apps
  12. 16:10–16:20
    The Agentic Contract: A practical framework from enterprises shipping agents to production
    Matt Doughty
  13. 16:25–16:35
    Democratizing Frontier LLMs - Cloud-cluster scale intelligence running on any Desktop PC
    Obadiah Pewee
  14. 16:40–17:00
    Code Trust and Verification for the AI Era
    Andre Kolodochka
  15. 17:05–17:15
    Vibe-coded Multiplayer Video Games
    Dr Sam Donegan
Workshop
All