Berlin · Maritim Pro Arte Berlin
Hosted by Software & Support Media GmbH
AI Engineering Summit brings five days of hands-on enterprise AI training to the Maritim Pro Arte Berlin from 16–20 November 2026. Designed for teams moving beyond AI experiments, this inaugural event explores how to integrate coding agents, AI assistants and agentic workflows into real software delivery processes. Held in Berlin, the summit combines practical instruction with peer learning and problem-solving. Its programme includes five AI engineering tracks, more than 15 workshops, two deep-dive bootcamps and a dedicated Lab Day. Most training sessions feature hands-on exercises, best practices and live demonstrations rather than relying on theory alone. What the programme covers The five tracks address the technical and organisational challenges involved in adopting AI across enterprise engineering: - AI Software Engineering: Integrating coding agents and assistants into development, testing, code review and delivery with clear processes and standards. - Quality, Testing & AI Code Review: Using AI to support automated testing, intelligent reviews and higher software quality. - Enterprise AI Governance & Security: Establishing rules for data protection, intellectual property, compliance and controlled AI use across complex environments. - Legacy Modernisation with AI: Evolving established systems through gradual, traceable changes rather than a high-risk “big bang” rewrite. - Developer Experience & AI Toolchains: Avoiding tool sprawl and building a coherent AI toolchain for engineering teams. The Lab Day is a distinctive part of the format. Attendees work alongside experts and other software teams on genuine challenges drawn from day-to-day engineering. The emphasis is on developing concrete solutions, exchanging experience and transferring the lessons directly into participants’ own development organisations. Who should attend? This summit is aimed at software engineers, software architects, Tech Leads, Platform Engineers, Developer Experience teams, Engineering Managers and technical decision-makers. It is particularly relevant for organisations that already use or evaluate AI tools but now need to introduce them in a structured, secure and sustainable way. View the event and registration details
