GitNation
Log in
Alon Segal

Alon Segal

Alon is a Software Engineering Team Lead at Monday.com with over a decade of experience in the software industry. Prior to joining monday.com, he worked at companies such as at Intel, BrightSource, and MyHeritage, specializing in Frontend development before transitioning to leadership roles in 2020. Alon is passionate about "doing the right things right," combining architectural guidance with empathetic leadership to help his team reach their full potential. He holds a degree in Computer Science from the Hebrew University of Jerusalem, and in his spare time, loves to travels the world with his wife and kids, and as a true coffee enthusiast he manages a coffee community and develops shopping aid tools.
monday.com, Israelalonseg-monalon-segal-27074a86
From 8 Years to 6 Months: Orchestrating AI Agents for Large-Scale Refactoring
JSNation 2026JSNation 2026
Upcoming
From 8 Years to 6 Months: Orchestrating AI Agents for Large-Scale Refactoring
Refactoring thousands of files to break a client-side monolith is a daunting task, but when our estimation for extracting the client side monolith hit the 8-year mark, we knew manual refactoring wasn't an option, so we built an AI infrastructure engine that is currently compressing that timeline to just 6 monthsThis isn't a theoretical proposal, we are currently midway through the process, successfully migrating production code daily and compressing that timeline to just 6 months. In this talk, we'll explore the custom orchestration engine driving this reality, while you will walk away understanding how to combine the deterministic reliability of ASTs with the creative power of LLMs to solve your own "impossible" legacy migrations.
artificial intelligence
From 8 Years to 6 Months: Orchestrating AI Agents for Large-Scale Refactoring
Web Engineering Summit 2026Web Engineering Summit 2026
Upcoming
From 8 Years to 6 Months: Orchestrating AI Agents for Large-Scale Refactoring
Refactoring thousands of files to break a client-side monolith is a daunting task, but when our estimation for extracting the client side monolith hit the 8-year mark, we knew manual refactoring wasn't an option, so we built an AI infrastructure engine that is currently compressing that timeline to just 6 monthsThis isn't a theoretical proposal, we are currently midway through the process, successfully migrating production code daily and compressing that timeline to just 6 months. In this talk, we'll explore the custom orchestration engine driving this reality, while you will walk away understanding how to combine the deterministic reliability of ASTs with the creative power of LLMs to solve your own "impossible" legacy migrations.
artificial intelligence