Continuous Testing

AI coding agents are genuinely powerful, and on a small project they feel almost effortless. Point them at a big codebase — a monorepo with a dozen packages, years of history, several teams — and you start to notice the rough edges: context fills up fast, conventions can slip, and the agent isn't always sure which part of the code to focus on. None of it is a dealbreaker; it just takes a different approach. This meetup is about that approach: the setup and the habits that keep AI coding agents useful once the codebase gets big. Evgeny Potapov, engineering manager with over 20 years of experience and cofounder of US-based startup ApexData, will share hands-on patterns from real work with Claude Code (and a bit of Codex): — How it's even possible: a look under the hood at how Claude Code and Codex operate on a codebase far larger than their context window — searching and reading on demand, and using sub-agents so the main context stays clean — Keeping the agent focused and well-fed: managing context, and how giving it the right related codebases and services actually makes it more capable — Pulling several projects into context: the backend, the app that produces the data, and product docs together, then a PoC of a feature that uses data from other apps in the project — Practical cases: onboarding into an unfamiliar codebase, tracing how things connect across the repo, and making changes that cut across many packages at once If you're a developer, tech lead, or engineering manager already using AI coding tools and curious how far they can go on bigger projects, come for concrete patterns and a chance to compare notes with others working at the same scale. 🕒 Schedule: 18:30 🥂 Networking, Pizza & Drinks 19:00 👋 Welcome Words 19:15–20:00 🎤 Evgeny Potapov: AI coding at scale: working with large codebases and monorepos — tips and tricks

**RSVP Here - [https://ocgroups.dev/cncf/group/jqbyur2/event/gkkgzva](https://ocgroups.dev/cncf/group/jqbyur2/event/gkkgzva)** Join us for a CNCF Tel Aviv meetup exploring how AI agents are moving from hype to production. We’ll hear practical lessons from building reliable SRE agents, evolving AI products into multi-agent systems, and navigating the fast-changing architecture of cloud native AI. **Building and Evaluating SRE Agents - Architectural Decisions and Tradeoffs** 18:00-18:30 Natan Yellin, Founder/CEO HolmesGPT, Robusta.dev Building an SRE agent that works reliably in production looks deceptively simple - wire an LLM to MCPs, ship it. The reality is harder.How do you implement memory and learning? What's the cost per investigation, and can you apply the agent to all alerts or only P1s? How do you measure agent performance? Etc. This talk walks through the architectural decisions we faced when building HolmesGPT, the CNCF SRE agent now running production for everyone from fast growing startups to Fortune 500 customers. We'll cover topics like: \* Agentic search vs. RAG \* Tool design: \* Context and memory \* Cost / Token budgets \* Evals \* Permissions and multi-tenancy Whether you're adopting HolmesGPT or building your own SRE agent, we'll share practical tips to make this work in your own production environment **From Prompt to Multi-Agent System: The evolution of our AI product** 18:30-19:00 Hila Fox, AI Product Manager, Qodo Once we were an agent, then an agentic agent, and now a full-blown multi-agent system. When I say 'once,' I mean one year ago. Remember when you could build products that didn't change under your feet every 5 minutes? I do. It was nice. In this talk, I'll share Qodo's journey through AI's chaos: 'agentifying' our code generation agent, architecting a multi-agent code review system using LangGraph and MCPs, and how we prepare for the inevitable next shift—because in AI, the only constant is change.

How do large tech companies get thousands of engineers to actually adopt AI, not just experiment with it? Not just through top-down mandates, but through guilds, task forces and communities that create momentum from within. Join us for an event where engineering leaders who've done this share their playbooks so that you can do it too. **This meetup is hosted by HoneyBook Engineering and Glue.** —---- **Agenda:** 17:45 - 18:30 - Food, drinks and mingling 18:30 - 20:00 - **Hadar Bismut** \| AI Communities & Guilds Builder\, Glue *Making AI stick: How Guilds and Communities Drive AI Adoption from Within* **Daniel Kidon** \| Backend Guild Lead\, HoneyBook *Build the Road Before the Car: How Guilds Turn AI Chaos into Momentum* **Netanel Abergel** \| Director of R&D\, monday\.com; **Sergei Safrigin** \| Software Engineer\, Tech Lead\, monday\.com *From AI-Assisted to AI-Native: When Agents Become Teammates* **Asaf Bruner** \| Engineering Group Manager\, SAP *Building a Digital Brain: From AI-Ready Repos to Agents in Daily Work* **Lihi Kab** \| Sr\. Technical Program Manager\, HiBob *From Guild to Impact: Using AI Communities to Shorten the SDLC* 20:30 - More drinks and mingling! The talks will be delivered in Hebrew. —---- **Making AI stick: How Guilds and Communities Drive AI Adoption from Within - Hadar Bismut, Glue** How can organizations support their teams in adopting AI, and not just deploy tools and random use cases that don’t really move the needle on velocity or SDLC? Hadar Bismut, Founder of Glue, will map the community structures that make AI adoption stick: from AI Champions and AI communities to engineering and AI guilds, and why the most lasting change grows from real employee needs, not top-down decisions. This session sets the stage for the four case studies that follow. **Build the Road Before the Car: How Engineering Guilds Turn AI Chaos into Momentum - Daniel Kidon, Backend Guild Lead, HoneyBook** When "AI is the big bet," most companies don't get clarity first, they get scatter. Prototypes everywhere, competing approaches, no shared foundation. Daniel Kidon, Backend Guild Lead at HoneyBook, will share how their Engineering Guild built a cross-functional AI task force that shipped a standardized AI platform and working MVP in six weeks, before the product had a single final use case. **Building a Digital Brain: From AI-Ready Repos to Agents in Daily Work - Asaf Bruner, Engineering Group Manager, SAP** In large engineering orgs, AI creates real impact when it's grounded in product context, not just code completion. Asaf Bruner, Engineering Group Manager at SAP Labs Israel, will share how SAP’s AI Guild built a “Digital Brain” across multiple products: making repos AI-ready, connecting them into shared semantic context, and embedding agents into daily workflows. Expect architectural choices, what failed, and what they changed mid-flight. **From Guild to Impact: Using AI Communities to Shorten the SDLC - Lihi Kab, Sr. Technical Program Manager, HiBob** What happens when you stop optimizing individual tasks with AI and rethink the entire delivery lifecycle instead? Lihi Kab, Sr. Technical Program Manager at HiBob, will share how an AI-powered Product Guild broke the SDLC into phases, matched each with the right AI tools, and found where AI truly accelerates delivery, through community-led experimentation, not top-down rollouts. **From AI-Assisted to AI-Native: When Agents Become Teammates - Netanel Abergel, Director of R&D and Sergei Safrigin, Software Engineer, Tech Lead, monday** At monday.com, AI agents are teammates - each with a name, a role, and a team. They join engineering squads, get assigned monday items, reply in Slack threads, ship features to production, review PRs on GitHub, and monitor what they shipped. Netanel and Sergei will share how monday's AI Champions scaled the Builders organization from AI-assisted to AI native teams - where agents and humans work side by side. —---- See you soon!

As products become increasingly agentic, the way we design, define, and measure user experiences is fundamentally changing. Traditional interfaces are evolving into intelligent systems that act, decide, and collaborate alongside users. In this meetup, we’ll explore what it means to build products in a world where AI agents are becoming part of the core experience, how this shift changes product thinking and UX design, and what new challenges emerge when products become proactive instead of reactive. Join us for a discussion on the future of product experiences in the AI-native era. **Agenda:** ◆ **18:30** - **Assembling**: Food, drinks and schmoozing ◆ **19:00** - **Daniel Eisenberg, Senior Product Manager @ Cyera:** **Notes on Taming an Agentic Product** ◆ **19:25 - Q&A #1** ◆ **19:30 - Panel** ◆ **19:55** - **Q&A #2** ◆ **20:00 -** **More Schmoozing**: Eating the last slice of pizza? until they kick us out. **Our Speakers:** **1\. Daniel Eisenberg\, Senior Product Manager @ Cyera** [https://www.linkedin.com/in/daniel-eisenberg-30771a58/](https://www.linkedin.com/in/daniel-eisenberg-30771a58/) Daniel Eisenberg leads product for Access Trail at Cyera — the tool suite that show enterprises who touched their most sensitive data, and why it matters. He came to the role the founder's way: he co-founded and ran Shape AI, a real-time cloud event-analysis startup acquired by Cyera in 2025. The throughline in his work is cutting noise, building the products that surface the insights that actually matter among countless signals, increasingly with AI doing the heavy lifting. recovering founder. Based in Tel Aviv, still ships. **Panel Guests** Alongside the main session with Daniel Eisenberg, the meetup will feature a panel discussion with product leaders from some of Israel’s leading technology companies, exploring how AI agents are reshaping product strategy, UX, decision-making, and the future role of product teams. **Panelists** ● Carmel Arad — Director of Product, HoneyBook [https://www.linkedin.com/in/carmel-arad-a2933a55/](https://www.linkedin.com/in/carmel-arad-a2933a55/) ● Or Fridman — Group Product Manager, Monday [https://www.linkedin.com/in/or-fridman-773762b0/](https://www.linkedin.com/in/or-fridman-773762b0/) ● Dr. Gil Hupert-Graff — CEO, ProductX [https://www.linkedin.com/in/gil-hupert-graff-79964710/](https://www.linkedin.com/in/gil-hupert-graff-79964710/) ● Galit Galperin — Founder, AI Mindset [https://www.linkedin.com/in/galitgalperin/recent-activity/all/](https://www.linkedin.com/in/galitgalperin/recent-activity/all/) ● Shachar Azriel — VP Product, Baz [https://www.linkedin.com/in/shachar-azriel-215748127/](https://www.linkedin.com/in/shachar-azriel-215748127/) ● Tessa Safarov — Product Manager, Cyera [https://www.linkedin.com/in/tessa-safarov-a40bb1a4/](https://www.linkedin.com/in/tessa-safarov-a40bb1a4/) Together, the panel will discuss what it means to build products in an AI-native world, how agentic systems are changing user expectations, and how product organizations should adapt for the next generation of intelligent experiences. **With thanks to our sponsor: Cyera** \*The event is held in Hebrew\*

באו לתקן כל מה שלא עובד. יותר טוב אם [צרו איתנו](https://docs.telavivmakers.space/welcome) קשר וספרו לנו מה הולכים לתקן ךפני להגיע. Come to fix together It is much better if you [contact us](https://docs.telavivmakers.space/welcome) and tell what do you want to repair before coming.

**TAMI Hacking Nights** \- join TAMI CTF team and practice challenges and CTFs with us \- share your knowledge about ethical hacking techniques and tools \- bring some device to reverse engineer it and explore how it works \- propose a bug bounty program to work on together \- just watch and learn from others The meetings are informal and open to all levels - from total beginners to hardcore CTF veterans. Join our HackaTAMI Telegram channel ([https://t.me/+KAXY_iPcPlpmZTRk](https://t.me/+KAXY_iPcPlpmZTRk)) to discuss what we will do this Tuesday and come to TAMI. ========== TAMI wiki: [https://telavivmakers.org](https://telavivmakers.org) TAMI main Telegram channel: [https://t.me/+0t5M0-jK9iIwZmM8](https://t.me/+0t5M0-jK9iIwZmM8)