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monday.com's engineering department thrives on data-driven impact and engineering excellence, while focusing on scale, performance, and resiliency. We believe in empowering our engineers with ownership and fostering a culture of collaboration and togetherness, where every individual makes an impact. By building on our existing multi-product platform that serves millions of customers globally, we deliver innovative solutions that also extend to marketplace apps and integrations, with speed and precision. Our team tackles complex technical challenges with focus and intensity, and the sky is the limit as to what we can build and achieve here together with ample resources, but in a fast paced, entrepreneurial and startup like environment.

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  • The Agentic SDLC: From Specs to Autonomous Merge

    The Agentic SDLC: From Specs to Autonomous Merge

    monday.com, Yitzhak Sade 6, Tel Aviv, IL

    Join us for an evening exploring how engineering teams are moving beyond AI-assisted coding to autonomous workflows, from turning specs into production-ready code to building AI agents trusted to review and merge pull requests.

    Agenda:

    18:00 Gathering, mingling, food & drinks

    18:30 Humans where they matter, AI where it’s better: Agentic SDLC at monday.com - Neyema Awaskar, monday.com

    19:00 No Human Needed: building a merge agent developers trust - Omri Levy & Omer Militscher, Baz

    Talk Abstracts:

    Talk 1:
    Humans where they matter, AI where it’s better: Agentic SDLC at monday.com
    Neyema Awaskar, monday.com

    A year ago, engineers wrote code, opened PRs, waited for review, and merged.
    Tomorrow, they write a spec—and the rest happens automatically.
    When generative AI hit the scene, monday.com engineers started shipping faster than ever, but we quickly hit a wall: writing code became easy, yet review queues kept growing. The bottleneck had shifted from writing code to everything that came after.
    We realized that automating code generation was just bandaging a symptom. The cure required a complete paradigm shift: moving engineers from Builders to Directors.

    In this talk, we’ll share what worked, what failed, how we built trust and how we measure impact. Finally, we’ll give you a practical starting point that you can implement tomorrow to take your first step toward full autonomy.

    Talk 2: No Human Needed: building a merge agent developers trust
    Omri Levy & Omer Militscher, Baz

    Auto-merge sounds great until you ask the real question: would you actually trust an agent to merge your PR without looking? That's a question about trust - and trust is hard to earn.

    At Baz we've spent the last few years building agents across the dev cycle: deep code review that map-reduces subagents over a diff, a spec reviewer comparing your tickets and Figma designs to the actual UI, and most recently a merge agent that decides whether a PR is ready to merge, no human needed.
    In this talk we'll go under the hood of the patterns behind building agents that actually work - and specifically the merge agent: how it's triggered, how it reaches a verdict, how we test and benchmark it, and what's still left to figure out.

    Speaker Bios:

    Omri Levy is a squad manager and part of the founding team at Baz, building AI agents for the SDLC - from code review to production monitoring. Before Baz, he was at IBM Research, working on hyper-parameter optimization for RAG pipelines on the IBM watsonx platform.

    Omer Militscher is a product manager at Baz, where he builds AI agents for the SDLC - from code review to production monitoring.
    Before Baz, he was a Data Scientist at Salesforce, developing a data focused conversational agent, for Tableau Next Concierge team.

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    91 attendees

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