QCon San Francisco

QCon San Francisco 2026 is an in-person software engineering conference and training event for senior engineers, architects, and technical leaders, held November 16–20, 2026, in San Francisco. The conference covers applied AI and machine learning, agent orchestration, evaluation and guardrails, API design, architecture, distributed systems, platform engineering, observability and resilience, developer experience, and engineering organizations. Its program is organized into 12 curated tracks with more than 60 presentations from senior practitioners describing systems and practices used in production. Optional half- and full-day training sessions run November 19–20 and cover topics including building AI agents and selecting among agent-development SDKs.

An InfoQ podcast series about intentional corporate culture and software management in engineering organizations. Hosted by Shane Hastie, InfoQ's Lead Editor for Culture & Methods, it features conversations with senior software leaders about building engineering teams and systems, organizational practices, hiring, leadership, and lessons from decisions they would handle differently. The podcast is intended for software architects and senior developers and is distributed through services including Apple Podcasts, YouTube, SoundCloud, Spotify, Overcast, and an RSS feed.

InfoQ is a technology information and community platform that publishes articles, interviews, conference videos, transcripts, and presentation slides, primarily covering software development, architecture, cloud computing, and related engineering practices.

AI Engineer is an AI engineering events and community organization operated by Software 3.0 INC. It runs flagship and regional events alongside year-round community engagement, knowledge exchange, and collaborative activities focused on practical AI engineering. Its public program includes conferences, workshops, talks, guides, and other opportunities for the global AI engineering community.

Confluent is an event-streaming platform used in the described system to carry live event messages from a win-probability system to downstream processing. That processing determines whether an event is a key moment and generates explanatory text.