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TestIL Group and JFrog are pleased to invite you to a meetup on:
“Powering Quality KPIs with AI: The Why and How”

Location: JFrog Office, Derech Menachem Begin 156, Tel Aviv-Jaffa, Israel (11th Floor)

Schedule
18:00–18:30 Arrival, Networking & Mingling
18:30–18:35 Opening Remarks - ITCB&TestIL
18:35–18:40 Opening Remarks - JFrog
18:40–18:55 Tal Zaguri (JFrog) - Navigating Industry AI Trends
19:00–19:15 Elad Or (Waze/Google) - Revolutionizing Waze Automation with Gemini AI Agents
19:15–19:30 Idan Marcino & Lihi Gilboa (JFrog) - Quality Enforcement with AI: Code Discipline & DevOps Discipline
19:30–19:45 Yaniv Zohar (Coralogix) - Reinventing Reliability & Observability with AI Agents
19:45–20:30 Expert Panel & Live Q&A (All Speakers)

About the Event
Moving Beyond Demos: Real Problems, Smart Solutions
Join us for an engineering meetup that prioritizes architectural depth and practical takeaways. We’re moving past “hello world” demos to tackle real world challenges and the why and how of intelligent quality engineering.
In a dynamic, TED-style session, we’ll explore how teams are applying AI to measurably improve key Quality KPIs: enforcing code discipline, reducing blast radius, and strengthening reliability at scale. Expect concrete strategies, real success stories, and a forward-looking view of what quality engineering becomes when AI is implemented with intent not hype.
Hosted by JFrog, this meetup brings together industry experts to share proven approaches, technical insights, and what’s next for modern quality engineering.

Lecture by Elad Or - SQA Group Manager, Waze (Google)
Topic: Revolutionizing Waze Automation with Gemini AI Agents
Bringing an insider’s perspective from Google, Elad will share practical AI automation strategies from the teams behind Waze. Learn how his group scales test coverage, improves execution efficiency, and leverages Gemini AI Agents to accelerate automation without compromising quality or engineering discipline.
Elad LinkedIn

Lecture by Yaniv Zohar - Director of Engineering, Coralogix
Topic: Reinventing Reliability & Observability with AI Agents
What happens when reliability and observability move beyond dashboards and start acting like autonomous teammates?
In this talk, Yaniv shares the story behind Olly, Coralogix’s AI agent, and how building it challenged long standing assumptions in the observability world. From early hypotheses that failed, through unexpected breakthroughs, to production outcomes that surprised the team this session offers a candid, engineering-first view of what it really takes to apply AI to complex systems.
Yaniv will cover what worked, what didn’t, how AI agents reshape 'day to day' team operations, and where reliability and observability are heading in an AI-first future.
Yaniv LinkedIn

Lecture by Tal Zaguri - Senior Product Manager, JFrog
Topic: Navigating Industry AI Trends
This talk provides a high-level snapshot of where AI in engineering stands today and where it’s heading next. Tal will break down the biggest industry shifts, the most common adoption patterns we’re seeing across organizations, and how leading teams are preparing for the next wave of AI driven development.
From tooling and workflows to engineering culture, you’ll leave with a clear framework for understanding what’s changing, what’s sticking, and what matters most as AI becomes part of everyday engineering.
Tal LinkedIn

Lecture by Idan Marcino - Automation Infrastructure Team Leader, JFrog & Lihi Gilboa - Quality Tech Lead, JFrog
Topic: Quality Enforcement with AI: Code Discipline & DevOps Discipline
How do you close the gap between quality strategy and what actually ships in code? In this joint session, Idan and Lihi present a complementary two pillar approach to AI driven quality enforcement pushing accountability to the earliest stages of the development lifecycle.
Pillar 1 - Strategic Enforcement (Idan):
Meet our AI Test Plan Generator. By analyzing Jira context and internal documentation, it automatically produces actionable test cases and enables tracking a strategic KPI: Test Plan Completion Rate a data driven signal of quality coverage and compliance.
Pillar 2 - Tactical Enforcement (Lihi):
See how we enforce standards in real time through AI Guardrails embedded directly in the IDE and CI pipeline. These guardrails act as automated gatekeepers, enforcing code discipline and organizational DevOps best practices before a single line is merged.
Idan LinkedIn
Lihi LinkedIn

The lectures is aimed for Seniors and Managers and will be held in Hebrew.

TestIL group | Nitzan@itcb.org.il | Nitzan 052-6718757
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Related topics

Events in Tel Aviv, IL
Artificial Intelligence Programming
Innovations in Software Testing
Software QA and Testing
Test Automation

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