Overview
The AI Coding Summit Berlin is a premier in-person and online event positioned to bring together developers, engineers, and AI practitioners for hands-on exploration of AI powered software development. Hosted in Berlin with a virtual online option, the summit is framed as a practitioner-led gathering focused on real workflows, tools, and techniques that enable AI-assisted development at scale. The event is designed for software developers, tech leads, engineering managers, and teams looking to integrate AI into their daily coding practices without hype, leaning into repeatable patterns and practical experiments.
What to expect
Participants can anticipate a cohesive program that blends talks, hands-on workshops, and interactive sessions led by a diverse set of speakers from leading tech companies and the broader developer community. The agenda emphasizes developer workflows that leverage agentic AI, multi-agent coordination, and AI assisted tooling. The program highlights concrete sessions around AI studio integrations, agent orchestration, evaluation of AI copilots, and end-to-end workflows for building AI-enabled software.
Agenda and tracks
The summit features a range of tracks and formats meant to maximize practical takeaways:
- Developer workflows and agentic programming: patterns for planning, executing, and validating AI-generated code with agentic architectures.
- AI engineering and reliability: maintainability, observability, and tracing for AI-driven applications.
- Tooling and platforms: Gemini APIs, AI studios, and related developer tools that accelerate AI-enabled software projects.
- Hands-on workshops: practical sessions that guide attendees through building, testing, and deploying AI-assisted components and workflows.
- Talks and talks archives: sessions that cover architectural patterns, best practices, and real-world case studies from industry practitioners.
Speakers and sessions
The program brings together experienced practitioners from major tech organizations and the GitNation community. Speakers cover topics such as building AI copilots, agentic workflows, and production-grade AI software strategies. The event also highlights collaboration and knowledge sharing opportunities, with showcased talks and hands-on demonstrations that illuminate how AI can be embedded into software development life cycles.
Format and logistics
Given the Berlin location and online availability, the format blends in-person experiences with online participation. The venue is described as a dynamic theatre setting in the Kosmos complex, located in a vibrant Berlin neighborhood with easy access to dining and nightlife. Attendees can expect a mix of presentations, workshops, and collaborative sessions designed to foster practical understanding and skill-building. Networking opportunities and live demonstrations reinforce the practical orientation of the program.
FAQs and attendee guidance
The event aims to provide actionable takeaways such as how to prototype AI workflows, how to integrate AI tools into existing CI/CD pipelines, and how to evaluate AI assistants in real development environments. For those joining remotely, the summit offers streaming access to sessions, interactive workshops, and opportunities to engage with speakers during Q&A segments. The program is suitable for developers seeking to boost productivity with AI, managers looking to guide their teams through AI adoption, and organizations exploring scalable AI coding practices.
Who should attend
Developers, software engineers, AI practitioners, team leads, and engineering leaders who want to see AI translate into concrete coding workflows and repeatable patterns will benefit most from this event. The summit invites attendees who are curious about practical AI applications in software development and eager to experiment with hands-on sessions and live tooling demonstrations.
Key details
- Start date: 2026-12-04
- End date: 2026-12-07
- Location: Berlin, Germany (Kosmos venue) with online option
- Focus: AI powered software development, practical AI workflows, and engineering patterns for AI in production
