AI Agent Orchestration
What does swarm intelligence look like in the age of AI agents? How can we design incentives that guide agent behavior towards emergent goals?
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Un-conference is back for its 3rd edition! Join a unique, no-hierarchy gathering of software engineers, AI/ML practitioners, and technologists for a day of spontaneous collaboration, deep technical dives, and real-world knowledge sharing. Unlike traditional conferences, this unconference has no preset schedule or speakers. Instead, the agenda is created by you - on the spot. Whether you're building foundation models, deploying inference pipelines, scaling microservices, or experimenting with cutting-edge AI agents, this is the space to connect, discuss, and learn from peers who are in the trenches too. Some example sessions from our previous editions:
AI Coding Tools Can fully generated codebases deliver secure, scalable architectures - what's the role of human design in the future? Model Hosting & Reliability As models grow in complexity, how can we ensure reliable, cost-efficient hosting at scale? AI Agent Orchestration What does swarm intelligence look like in the age of AI agents? How can we design incentives that guide agent behavior towards emergent goals? AI-Driven Workflows Will the future belong to small, specialized models - or large, general-purpose ones with more tools? Meta Prompting for Code Generation What meta prompting techniques drive better code quality and maintainability?
Agenda: 6:00–6:30 PM: Welcome & Agenda Co-Creation
6:30–7:30 PM: Session Block 1 (60 mins) 7:30–8:30 PM: Session Block 2 (60 mins) 8:30–9:00 PM: Regroup & Discuss
This event is curated for those who are actively building in software and AI, so that every session sparks meaningful, technical exchange. If you’re not currently hands-on in full-stack or AI development, we encourage you to sit this one out - and just a reminder, doors close at 6:30 PM sharp!
Sessions & talks
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What does swarm intelligence look like in the age of AI agents? How can we design incentives that guide agent behavior towards emergent goals?
Can fully generated codebases deliver secure, scalable architectures - what's the role of human design in the future?
Will the future belong to small, specialized models - or large, general-purpose ones with more tools?
What meta prompting techniques drive better code quality and maintainability?
As models grow in complexity, how can we ensure reliable, cost-efficient hosting at scale?