Context is king. Talks and demos from engineers shipping AI agents in production.

Member of Technical Staff, Chroma

A live preview of Chroma's specialized 20B-parameter agentic search model — frontier-level retrieval at a fraction of the cost and up to 10× the inference speed.

Co-Founder & AI Lead, Flow AI

A look at the harness Flow AI built for production data agents — search structure, memory pointers, multi-tenancy.

Founder & CEO, StackOne

A demo of building production integrations for AI agents.

Founder, The Token Company

A demo about the effects of compressing context for real-world use cases.

CPO & Co-Founder, GitHits

A live demo of source-grounded context for coding agents — canonical code examples with citations to upstream libraries, and live code navigation over open source codebases.

Co-Founder & CTO, ConfidentialMind

How context becomes the real interface between humans, agents, and production systems – powering workflows across engineering, product, and sales.

Software Engineer, Hugging Face

Rewriting developer tools so AI agents can actually use GPU infrastructure without misconfiguration and bugs.

VP Product Engineering, F-Secure

Bridging the gap between vision and practice in company-wide context engineering, with live demos featuring Claude Code.

Staff Software Engineer, Aiven

Comparing rules and skills through AI-driven unit test refactoring – with real results from Aiven's experiments.

Co-Founder & CTO, GitHits

Demo: Open-Source Code as Context for Coding Agents.

Co-Founder & CTO, Kaiku

Demo: Shared Context Across Teams and AI Agents.

Demo: From JIRA Ticket to PR – Autonomous Agent Orchestration.

Co-Founder & CTO, Factory

Context compression for coding agents. They built an eval framework to measure how much context different compression strategies actually preserve across long-running agent sessions, and tested it against approaches from OpenAI and Anthropic.

Head of Databases, Aiven

Why your agent is flying blind without data context. A demo showing the difference between operating with and without rich metadata, and how MCPs are turning static data catalogs into real-time context layers agents can reason with.

Co-Founder & CTO, ConfidentialMind

Context and RAG in practice. A walkthrough of a real RAG failure, fixed step-by-step using hybrid retrieval, metadata and scope filtering, and retrieval tracing – three practical "context knobs" used in production.

Co-Founder & CTO, Daylit

Context gaps in finance.

CPTO, Daily / Pipecat

Short-term and long-term tasks in voice AI.

Co-Founder & CEO, Nango

MCP's production gap: what customer-facing agents actually use.

Senior Tech Lead, Apify

Real-time web data for agent context with Apify MCP.

Founder, Datakor

A Brief History of Context: the Evolution of Metadata.

AI Product Director, Aiven

Why Your Data Catalog is Your AI's Brain.

Co-Founder & CTO, Flow AI

Building Reliable Data Agents with a Semantic Context Layer.

Head of AI, ConfidentialMind

Context and RAG in Practice.

Co-Founder & CTO, Realm

Context Management for Agentic RAG.