Engineering Leaders In-person Event: From Vibe Coding to Production-Ready Agents

​​From Vibe Coding to Production-Ready Agents

​​How AI Becomes Production-Ready

​​AI and LLMs are moving from demos and experiments into production systems, raising new questions around evaluation, governance, observability, and agentic execution.

​​The question is how do we make it reliable, governed, and scalable?

​​Join us for a focused, in-person meetup for engineering leaders exploring what it truly takes to move from demos to production-grade AI systems.

​​Date: March 10th, 2026
Time: 10:00 - 12:30 (Delicious breakfast)
Location: Logz.io offices, Hamasger 35, 21st floor, TLV

*​The event will be held in Hebrew.

​​What to Expect

​​10:00–10:30 Arrival & Breakfast - We’ll start with coffee and breakfast, then have time to connect before diving into the content.

​​10:30–11:15 Setting the Foundation: From Vibe Coding to the Evaluation Stack - Lior Kanfi, CEO & Founder, Tikal

​​To move from impressive AI demos to systems that can actually scale, engineering teams need more than faster models and better prompts. They need a disciplined methodology.
In this session, Lior will explore what separates experimentation from production in AI-driven engineering systems.
The talk introduces Spec-Driven Development as the critical link between intent and execution, showing how clear specifications replace ad-hoc prompting and become a shared source of truth for probabilistic systems.
From there, the session moves into AI Evals as a core delivery practice, outlining a practical evaluation stack for building trust in AI-driven workflows. We will examine:

• ​​Why manual error analysis consistently delivers the highest ROI

• ​​How binary pass/fail evaluations create clear alignment across teams

• ​​How step-level diagnostics make AI behavior observable, governable, and production-ready

​​The session outlines what needs to be in place for AI systems to move from ad-hoc experimentation to structured, scalable engineering practice.

​​11:15–12:00 Agentic Observability: When AI Stops Assisting and Starts Acting - Tomer Levy, CEO, Logz.io

​​Observability is no longer about dashboards, alerts, or faster querying.
It’s about delegating investigation, decision-making, and action to AI agents.
In this session, Tomer Levy will share how fast-moving companies are evolving from traditional observability into an Agentic Observability workflow.

The talk will focus on three real-world use cases already reshaping engineering operations:

• ​​On-Call & Incident Response
  AI agents investigate incidents, correlate signals, and drive root cause analysis, reducing human intervention to a fraction of today’s workflows.

• ​​NOC Operations
  Replacing noisy, repetitive monitoring work with agents that detect, reason, and act across systems at machine scale.

• ​​Customer Support & Production Troubleshooting
  AI agents handle investigations for high-volume production issues, allowing support and engineering teams to focus only on the edge cases that truly require human judgment.

​​Tomer will also address the challenge organizations face: AI agents don’t implement themselves. Ownership, guardrails, and operational accountability must be designed deliberately.

​​12:00–12:30

​​Open Discussion 

​​A focused conversation with Lior and Tomer on the questions many of us are already dealing with:

• ​​Where does evaluation actually sit in the SDLC once agents are generating code and influencing delivery?

• ​​What does ownership mean when an agent reviews code or acts in production?

• ​​How do we move from individual AI usage to shared organizational standards?

• ​​What tends to break first when scaling agents beyond pilots?

​​We’ll use this time to connect the evaluation stack and agentic observability to the day-to-day reality of managing teams.

​​Please note

• ​​Registering through this page is an application for approval. Registrations will be reviewed and confirmed by the team.

• ​​By registering for this event, you agree to receive emails from Logz.io and Tikal.

​​We’re looking forward to a meaningful exchange on how AI systems truly become production-ready.

​​The Logz.io & Tikal Team

​​About Logz.io

​​Logz.io provides an AI-first observability platform that enables engineering teams to monitor, troubleshoot, and secure their environments more effectively and at lower cost.
The Logz.io Open 360™ platform combines AI agent technology with comprehensive observability capabilities to accelerate incident resolution and reduce MTTR, helping organizations operate AI-driven systems at production scale.

​​Logz.io's new product, OrionIQ, is a specialized AI Agent that reasons across your logs: runs proven operational workflows, integrates with existing tools and processes, operates safely with auditability and optional human approval, and scales operational expertise without adding headcount.

​​About Tikal

​​Tikal is your hands-on tech consultancy partner for scaling engineering organizations and delivering impactful technology solutions. With over 25 years of experience, Tikal supports companies across AI/ML, Backend, Data, DevOps, Fullstack, and Web, embedding hands-on expertise into engineering teams to drive real impact.
As the founders of the Israeli Tech Radar, Tikal actively shapes the engineering ecosystem by sharing insights and guiding technology leaders.