AI-Ready Platforms: Building the Foundations for Scale

As AI reshapes software engineering, the platform behind it becomes more important than ever. Join us for an Infra & Platform meetup focused on the systems, platforms, and AI capabilities that help engineering teams build and operate at scale

Agenda:

18:00 Gathering, mingling & refreshments

18:30 From AI Adoption to Operational Impact - Amit Mazor, DevOps & Pablo Martinez, Senior SRE @ monday.com

19:00 Your tickets are half empty - Shahar Polak, Head of R&D @ Imagen

19:30 Break

19:45 Separating Platform from Business Logic - Sofi Vasserman, Senior Tech Lead & Ziv Amram, Software Engineering Team Lead @ monday.com

Talk Abstracts:

• From AI Adoption to Operational Impact - Amit Mazor, DevOps & Pablo Martinez, Senior SRE @ monday.com

A look into monday.com’s AI transformation journey, from organizational enablement and Discover how we transitioned from organizational adoption to real-world devops applications. We will begin with a brief introduction to monday.com's agentic functions before diving into how these agents operate in production environments to resolve technical challenges.

• Your tickets are half empty - Shahar Polak, Head of R&D, Imagen

Jira says there is a bug. Production says there is a problem, but the useful context is scattered across logs, traces, Slack, repositories, dashboards, deployments, and customer data.
That gap is where engineering time disappears. At Imagen AI, we were spending up to four hours on bug triage before the actual fix could even begin. So we built LADIS - an internal AI agent that reads the operational context, enriches tickets automatically, and helps engineers start from signal instead of noise.
We cut triage from roughly four hours to four minutes in many cases.
This talk shares the architecture behind it: isolated skills, strict permissions, observability integrations, automatic ticket enrichment, and the failure modes we hit when our first super-agent tried to know everything.
The lesson is simple: don’t make engineers hunt for context. Bring the context to the incident.

• Separating Platform from Business Logic - Sofi Vasserman, & Ziv Amram @ monday.com

When AI can generate a new service in minutes, how do you ensure every service follows your engineering standards? We'll explore how platform engineering can enforce reliability, security, and communication patterns by design, allowing developers and agents to focus on business logic instead of infrastructure concerns. We'll share how we moved non-functional requirements like retries, circuit breakers, caching, and resiliency into the platform itself, along with the architectural principles, trade-offs, and practical lessons that any team can apply to build AI-ready platforms that scale without sacrificing reliability.