Dasith’s Gossip Protocol - Adventures in a #distributed world

The fastest way to start checking an architectural rule is to ask the model.

Coding agents can produce a lot of code quickly.

I had the opportunity to speak at DDD Melbourne 2026 about something that has consumed a lot of my thinking over the past year: how we actually get reliable results out of AI coding agents on real, messy codebases.

A story about what it really takes to send someone to do a job for you, and why that turns out to be a genuinely hard problem we’re now being forced to solve because of AI agents.

I’ve been exploring hypervelocity engineering workflows with AI agents like GitHub Copilot, and one fundamental challenge continues to surface: maintaining shared context alignment between developers and AI.

I, along with my colleagues Jason Goodsell and Juan Burckhardt, had the opportunity to present our key insights and learnings from the rapidly evolving world of Large Language Models (LLMs) at Apidays Australia 2024 in October.

My team at Microsoft Industry Solutions Engineering have recently been building heaps of LLM based solutions for customers of varying sizes across industries.

I presented some my learnings around modern software supply chain security tools and landscape at API Days Australia 2023 and K8SUG Meetup in November.

Most systems we build today are delivered as containers.

I recently spoke at API Days Australia about my experiences building distributed systems and some challenges my team faced deploying and running them on the edge.