Constitutional Prompting: Making AI Coding Agents Reliable Without the Iteration Tax Prem Pillai AI Engineer Melbourne 2026
Fail fast, fix faster: Why faster AI models beat smarter ones Andrew Fisher AI Engineer Melbourne 2026
From AI Survey to Production: What the Readiness Gap Actually Looks Like Dr Christian Dandre AI Engineer Melbourne 2026
19Cabs: 1115 drivers, 500 customers, 90 days from idea — and why we still had to stop and rethink AI Balram Singh AI Engineer Melbourne 2026
Regulatory AI: Building Intelligent Compliance into Financial Operating Systems Theo Adis AI Engineer Melbourne 2026
How Canva built an Agentic Support Experience using Langfuse Observability Sergey Iakovlev AI Engineer Melbourne 2026
Treating Infrastructure as Data: Building an AI-Native Control Plane Jeffrey Aven AI Engineer Melbourne 2026
The AI Control Plane: When Your Infrastructure Becomes the Context Window Bojan Zivic AI Engineer Melbourne 2026
Agent Observability: Monitoring and Understanding Agents at Internet Scale Daniel Nadasi AI Engineer Melbourne 2026
Three Lanes Below One Millisecond: A Rust SDK for Gemini Live Vamsi Ramakrishnan AI Engineer Melbourne 2026
Stop vibing your agents to production: applying ML discipline to agent development Justin Barias AI Engineer Melbourne 2026
Agentic SAST: Building an AI Pipeline for Rule Synthesis and Root-Cause Vulnerability Analysis Danila Sashchenko AI Engineer Melbourne 2026
