Overview
The AI Engineering Summit 2026 is a comprehensive in-person training event aimed at enterprise software engineers who want to adopt AI productively within development teams. The Berlin edition is organized around practical, hands-on tracks that cover AI driven development, AI governance and security, legacy modernization, and developer experience with AI toolchains. The event runs from November 16 to November 20, 2026, at the Maritim pro Arte Hotel in Berlin, Germany. It is designed for developers, engineers, CTOs, tech leads, backend and full-stack engineers, API engineers, and DevOps professionals who want concrete methods, playbooks, and actionable guidance to implement AI workflows in real-world software projects.
Dates and Location
- Start: 2026-11-16
- End: 2026-11-20
- Location: Maritim pro Arte Hotel, Friedrichstraße 151, 10117 Berlin, Germany
- Organizer: Entwickler.de Akademie; performer: Software & Support Media GmbH
- Language: German (content provided in German with English translation available where applicable)
Agenda and Format
The summit blends multiple formats to maximize practical takeaways:
- Keynotes and track sessions on Agentic Software Engineering, Quality Testing and Code Review, Enterprise AI Governance and Security, Legacy Modernization with AI, and Developer Experience with AI Toolchains
- Problem Lab sessions, halbtägige Workshops (half-day workshops), and intensive bootcamps
- On-site networking, hands-on labs, and collaborative sessions that emphasize real-world application
- Access to training content, playbooks, and checklists designed for enterprise software teams
The event creates a curated program that aligns AI workflows with software delivery, including governance, security, IP protection, and compliance considerations. It highlights how coding agents, AI workflows, and agentic software engineering practices can be integrated into secure, auditable development processes.
Tracks and Sessions
- Agentic Software Engineering: From coding assistants to productive team workflows
- Quality, Testing and Code Review: Making AI-generated code production-ready
- Enterprise AI Governance and Security: Safe and compliant AI usage in large organizations
- Legacy Modernization with AI: Understanding and modernizing existing systems
- Developer Experience and AI Toolchains: Environments and tooling for AI-enabled development
- Tracks include sessions, scheduled talks, and sessions around labs and labs days, including Lab Day opportunities for hands-on practice
Speakers and Program Chairs
The program includes speakers and contributors such as trainers and a program chair who assemble the annual program. The event emphasizes learning from experienced practitioners and industry experts, including sessions led by trainers and insights from the program chair overseeing the content and track alignment.
Who Should Attend
- Developers, Software Engineers, CTOs, Tech Leads
- Backend and Full-Stack Developers, API Engineers, DevOps Engineers
- Technical leaders seeking practical guidance for introducing AI into development workflows
What You’ll Take Away
- Concrete patterns and best practices for integrating AI into development, testing, and delivery
- Playbooks and checklists for governance, security, and QA in AI-enhanced software projects
- Knowledge about managing legacy systems with AI while maintaining compliance
- A community of peers and experts for ongoing collaboration and knowledge sharing
FAQs
- Is this event online or in-person? This event is an on-site, in-person summit in Berlin.
- What languages are used? Content is presented primarily in German, with English translations where available.
- Are there workshops and bootcamps? Yes, the program includes half-day workshops, problem labs, and intensive bootcamps.
- Who should I contact for tickets? Information about ticketing is provided on the event page, including on-site price tiers and early-bird options.
For attendees, the summit offers an immersive, hands-on experience to bridge AI theory and practical enterprise software delivery, ensuring participants leave with actionable strategies to implement AI in their teams while maintaining governance and security considerations.
