Reimagine the future of software development in a world where code is written, tested, and maintained with the help of AI. The speakers will present the new era of Agentic development through practical lectures, live
demos, and topics such as Claude Code, Gemini CLI, Cursor, MCPs, Agentic Coding, AI-Driven Development, N8n, AI Automations, Autonomous Coding Agents, Copilot, and more.
Join The Movement
The way we write, test, and maintain code is being fundamentally transformed. Tools that began as simple autocompletes are now evolving into true collaborators - AI agents capable of understanding context, executing complex tasks, and operating autonomously.
The event will focus on the technologies and tools that are changing the way we write code, build processes, and develop smart work environments. The speakers will cover Autonomous Coding Agents & AI-Driven Development, as well as Advanced tools like Claude Code, Gemini CLI, Cursor, and N8n. They will also discuss Mastering AI Collaboration with Next-Generation Copilot Techniques and Building Secure, Efficient, and Intelligent Development Workflows.
This conference is essential for developers from all fields, team leaders, DevOps engineers, technology architects, and anyone involved in the software development lifecycle who is seeking practical tools to enhance productivity and efficiency. The revolution
isn't coming - it's already here. Join us to gain the hands-on knowledge you need to lead the change.
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Architected Vibing: How to Talk a Full-Stack App into Existence
This session shares a real-life experience of building a full-stack, cross-platform application from scratch using Vibe Coding and voice commands. It demonstrates how AI-native IDEs help turn high-level ideas into working products, showing a new workflow for developers. Attendees will learn about this approach and see how development can be as fast as their ideas.
Cross-Gen: AI Generation and the Return of Code Generation
In an era where AI can write entire applications, it’s tempting to think that traditional code generation has outlived its purpose.
Yet the principles behind classic codegen - reproducibility, structure, and maintainability — are more relevant than ever.
AI introduces new opportunities to revive these ideas, automating not just code output but also the design and evolution of generation templates.
By combining deterministic generators with adaptive AI models, we can achieve the best of both worlds: consistent scaffolding with contextual intelligence.
This talk explores how AI can breathe new life into old-school code generation—making it more practical, collaborative, and aligned with modern development workflows.
Same Steps, Smarter Cursor: Mastering MD Files
Typing the same prompts into Cursor repeatedly wastes time. This talk shows how .md can store, organize, and reuse prompts, turning repetitive tasks into a smooth, automated workflow. It also highlights the team management perspective - streamlining collaboration, reducing friction, and keeping everyone aligned.
Going Global with Cursor: Continuous Localization in a Real-World Web App
Discover how we used Cursor to implement continuous localization in a real-world web application—and fully localize an entire eCommerce storefront in just one week, with very low spend.
This talk breaks down our workflow from PoC to production, including how Cursor helped us automate key extraction, enforce consistency across locales, translate to Spanish, and how we used LLMs to translate database content
Learning to Code From History's Greatest Writers
The programmers of the future won’t just be great at coding, they’ll have to be great at explaining what they want. Clarity in prompts can be the difference between mediocre output and production ready systems. In this talk, we’ll borrow lessons from history’s greatest writers: Hemingway, Shakespeare, Austen and more, to learn how developers can write better prompts, steer coding agents, in order to ultimately build better systems.
Prompt Engineering: From Basics to Best Practices
This lecture introduces the foundations of prompt engineering with a focus on coding with AI. We begin by defining what a prompt is and examining the different types of prompts used when generating code. We then explore practical prompt design strategies and best practices tailored for programming tasks, including zero-shot and few-shot approaches, breaking down complex coding problems, iterative refinement, and more. Attendees will leave with a practical toolkit for crafting efficient prompts that produce accurate, reliable, and maintainable code, along with strategies to improve performance across diverse coding scenarios.
Debugging AI-Generated Code - A Practical Guide
AI coding tools are powerful, but what happens when the generated code breaks? This practical session explores effective strategies for debugging AI-written code, covering common failure patterns, diagnostic approaches, and workflow optimizations. Learn how to quickly identify and fix issues in AI-generated solutions, making your AI collaboration more productive and reliable.
One Command to Rule Them All: Turning Your CLI into a Knowledge Agent
Developers never have enough time, yet we’re constantly asked to maximize our impact: write better code, document it, and share knowledge with the team. What we really want is simple: run a single command and let the rest happen automatically. In this talk, we’ll explore how Gemini CLI and custom commands can turn that wish into reality. Through live demos, you’ll see how one command can extract reusable code from a project, generate clear documentation, and even create a ready-to-share slide deck, showing how the CLI can become a true knowledge-sharing agent that saves time and amplifies your work.
The Last Integration You’ll Ever Write: How AI Agents Learned to Code Themselves Into Games
Developers often struggle with integrating SDKs into games. At Ludeo, a multi-agent reinforcement learning system was built where five AI agents autonomously learn to integrate the SDK into games. These agents start with no prior knowledge, explore game objects, try different strategies, write code, and learn from errors until the integration works. This approach is not prompt engineering but uses real RL agents to write and debug production code, sharing knowledge across different game engines. The system achieved less than 3% performance overhead and a 90% success rate across various codebases.
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Habima, Tel-Aviv 
The event will take place at Habima - home of the National Theatre of Israel and a gem of an event venue, located in the beating heart of Tel Aviv.
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