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Join us on Tuesday, October 28, for a ride on the Autobahn of innovation to explore how we removed speed limits for the development of agentic features.
✅ Registration: https://gram.ly/3KT40lY

🚀 Let’s hit the road—ready, steady, go!

Our software engineers Yevhenii and Vladyslav will take you behind the wheel and share the fast-lane journey—from the very first LLM-powered features at Grammarly to a modern, first-class agentic surface.

🛣️ They will discuss:

  • Preparation at the starting line: How ready were we for the LLM boom (or not)?
  • Navigating technical challenges: Developing an agentic feature for all possible third-party platforms
  • Shifting gears: A flexible team set up to move faster
  • Strategic pit stops: Why slowing down to rethink mistakes helped us speed up overall

🔈 Yevhenii Sabanin is a back-end engineer with 10 years of experience. At Grammarly, Yevhenii has worked on a variety of features, including plagiarism detection, LLM-driven suggestions, and, most recently, agentic features.
🔈 Vladyslav Bozhko is a full-stack engineer working at Grammarly for six years. During his tenure, he has worked on several key Grammarly products, including Grammarly Editor, Grammarly for Mac, and Grammarly Browser Extension.

💥 Who will find this interesting:

  • Engineers working with LLM-driven features,
  • Engineers working with features for multiple platforms,
  • Product Managers, and Designers

Agenda:
✨ 18:30–19:00: Welcome and networking
✨ 19:00–20:00: Grammarly talk
✨ 20:00–21:00: Mingle with the Grammarly team

✅ Where: In-person, Grammarly Berlin hub
✅ When: Tuesday, October 14
✅ Language: English
✅ Registration: https://gram.ly/3KT40lY
The event is free. Registration is mandatory. Due to a limited number of seats, the invites will be sent to a limited number of interested guests on a first registered, first invited basis. Please check your inbox for a confirmation email about your attendance.

Events in Berlin, DE
Artificial Intelligence
Backend
Front-end Development
Full Stack Development
Software Engineering

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