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Amit Hanoch

Amit Hanoch

Amit Hanoch is a Tech Lead at monday.com with 10 years of experience in software engineering. A graduate of the Mamram unit with a B.Sc. in Computer Science, Amit focuses on navigating complex systems. His work focuses on making large-scale architectural shifts predictable and efficient through automation. In his spare time, Amit creates coffee videos online, where he explores the technical side of brewing the perfect cup.
monday.com, Israel
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