Optimising GenAI at Runtime with Experimentation and Guardrails Aaron Montana AI Engineer Melbourne 2026
How Many Agents Are Too Many? The Hidden Cost of Multi-Agent Systems Anannya Roy Chowdhury AI Engineer Melbourne 2026
Beyond Forgetful Bots: Architectural Patterns for Persistent, Proactive Claw-Style AI Agents Navan Tirupathi AI Engineer Melbourne 2026
Evaluation Precedes Evolution: Rubrics as the Load-Bearing Infrastructure of Self-Improving Agents Tanya Dixit AI Engineer Melbourne 2026
From Zero to Production: How 15 Engineers Shipped a Production LLM Product with AI Coding Tools Michael Zhang AI Engineer Melbourne 2026
Constitutional Prompting: Making AI Coding Agents Reliable Without the Iteration Tax Prem Pillai AI Engineer Melbourne 2026
Why AI coding tools might not make the slightest difference Jason Cornwall AI Engineer Melbourne 2026
Fail fast, fix faster: Why faster AI models beat smarter ones Andrew Fisher AI Engineer Melbourne 2026
What We Learned Taking a Culture-First Approach to AI Adoption at scale Eric Grigson AI Engineer Melbourne 2026
From AI Survey to Production: What the Readiness Gap Actually Looks Like Dr Christian Dandre AI Engineer Melbourne 2026
