Upcoming Events - QCon

Software development moves quickly. One year, a particular architecture is considered cutting-edge; the next, engineering teams are busy figuring out how to maintain it without losing sleep. For developers and technology leaders who want to separate practical innovation from industry hype, QCon San Francisco 2026 offers an opportunity to learn directly from professionals building and operating modern software systems.

Taking place November 16–20, 2026, at the Hyatt Regency in San Francisco, QCon brings together experienced software engineers, architects, and technical leaders. The main conference runs November 16–18, followed by optional training sessions on November 19–20. Its focus is on lessons from real-world engineering, including what works in production, which approaches create unnecessary complexity, and how teams can make better technical decisions.

Practical Lessons for Modern Software Teams

One of QCon's biggest attractions is its emphasis on engineering experience rather than product promotion. The program features senior practitioners sharing technical decisions, implementation challenges, and lessons learned while building systems used in real environments.

That distinction matters. A successful proof of concept doesn't automatically translate into a reliable production service. Teams must consider performance, maintainability, security, operational costs, and the ability to scale as demand grows.

QCon's sessions are designed to help attendees understand those trade-offs. Participants can explore architectural approaches, examine the reasoning behind engineering decisions, and learn how other organizations address difficult technical problems.

For development managers, this knowledge can inform technology roadmaps and help teams avoid expensive mistakes. For individual engineers, it provides practical ideas to evaluate and potentially apply in their own projects.

AI Engineering Moves Beyond the Experiment

Artificial intelligence is an important part of the 2026 program. As businesses move from AI demonstrations to production deployments, engineering teams face new challenges involving reliability, evaluation, security, and operational oversight.

QCon's AI-related topics include agent orchestration, evaluation systems, guardrails, and observability. These areas address a central challenge for businesses: how to build AI-powered applications that behave consistently enough to support real customers and business processes.

For example, an AI assistant might produce impressive results in a demonstration but struggle with unexpected inputs, incomplete information, or complex multi-step tasks. Engineers need ways to measure performance, detect failures, manage risks, and improve systems over time.

Sessions exploring these problems can help technology teams develop a more disciplined approach to AI implementation. Rather than adopting a tool simply because it generates impressive results, attendees can learn to assess whether a solution is reliable, cost-effective, and appropriate for its intended purpose.

Architecture, APIs, and Platform Engineering

AI isn't the only subject worth watching. Software architecture, API design, platform engineering, and distributed systems remain essential as organizations modernize their applications.

Poor architectural decisions can create problems that surface months or years later. Services become difficult to maintain, integrations break, and teams spend more time managing complexity than delivering new features.

QCon provides opportunities to examine how experienced engineers approach these challenges. Topics such as API usability, system observability, and resilient architecture are relevant to organizations building cloud-native applications, distributed platforms, and business-critical services.

The value extends beyond individual coding techniques. Understanding why an architecture succeeds—or fails—helps technical leaders make decisions that balance immediate delivery needs with long-term stability.

Training and Professional Development

The conference also offers optional training on November 19–20. These sessions give participants an opportunity to develop specific skills beyond the main conference presentations. The published program includes training related to AI agents, AI-assisted coding, and foundational software engineering practices.

This combination of conference sessions and hands-on learning makes QCon relevant to professionals at different stages of technical leadership. Attendees can explore emerging approaches while strengthening the engineering fundamentals needed to implement them responsibly.

Networking is another benefit. Conversations with peers who face similar challenges can uncover alternative solutions, useful tools, and approaches that may not appear in formal presentations.

Why QCon San Francisco 2026 Deserves Attention

QCon is particularly valuable for senior developers, software architects, engineering managers, and technical decision-makers who need more than high-level technology predictions. Its emphasis on production experience helps participants connect emerging ideas with the realities of software delivery.

Organizations looking to improve system reliability, evaluate AI investments, modernize architectures, or strengthen engineering practices may find useful insights throughout the program.

The takeaway: Successful software engineering isn't about adopting every new trend. It's about understanding which techniques solve real problems and applying them thoughtfully. QCon San Francisco 2026 offers an opportunity to learn from practitioners who have worked through those decisions firsthand.

Event details and registration: Register Here