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AI Insights: Secure Code & LLM for Frontend Developers

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Hosted By
Michal T.
AI Insights: Secure Code & LLM for Frontend Developers


Date: Monday, October 30th, 2023 @ 18:00
Location: Tikal offices, 6 Kremenetski St, 1st Floor, Tel Aviv

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Join us for an enlightening dive into the fast-paced realm of AI-powered software development. Our focus will be on two key areas: Secure Coding and Large Language Models for Frontend Development.
Our exceptional speakers will delve into these emerging topics:
Nir Kaufman from Tikal will guide us through the practicalities of integrating Large Language Models in frontend development, revealing how to enhance user experiences to meet today’s high standards.
Liran Tal from Snyk will investigate the potential and pitfalls of relying on AI for secure coding, probing whether our dependency on such tools compromises software safety.
Don't miss this opportunity to engage, learn, and keep abreast of developments in the dynamic field of AI-enhanced software.

On the Agenda:

18:00-18:30: Networking, discussions, and tasty refreshments 🍕🍺
18:30-19:15: LLM for Frontend Developers in Practice // Nir Kaufman, Tech Lead at Tikal.
In this session, we will walk through the process of integrating Large language models (or LLMs) within a modern frontend application.
We will get familiar with the tools, terms, and practical usages that can take your application to the next level - providing great UX - as expected today.

About Nir:
Frontend Tech Lead at Tikal, Google developer expert for web technologies, and above all - a community enthusiat that believes that knowledge should be shared between us all :)

19:15-20:00: Can Machines Dream of Secure Code? // Liran Tal, Developer Advocate at Snyk
Do machines hallucinate insecure code? In the blink of an eye we jumped on the AI bandwagon and pivoted from AI skepticism to AI adoption, but what did we trade off exactly?
Writing secure code is tougher than it seems and we humans are getting it wrong time and time again. Even highly popular open-source software projects are repeatedly found vulnerable.
So how does ChatGPT or GitHub Copilot live up to standards of secure software? developers have already embraced AI for augmented software development but let's challenge those AI tools you've come to rely on day-to-day and see how capable they are in producing secure software.

About Liran:
Known for his open source and JavaScript security initiatives, Liran Tal is an award-winning software developer, security researcher, and open source champion in the JavaScript community.
He's an internationally recognized GitHub Star, acknowledged for his open source advocacy, and has received the OpenJS Foundation's Pathfinder for Security for his work on Node.js security. His contributions to developer security education include leading OWASP projects, building supply chain security tools, participation in CNCF and OpenSSF initiatives, and authoring books such as O'Reilly's Serverless Security.
He leads the developer advocacy team at and is on a mission to empower developers with better application security skills.
We look forward to welcoming you to our meetup for an evening filled with thought-provoking talks, professional networking, and, of course, delightful refreshments.

Join us to challenge your perspectives, enhance your skill set, and discover what lies ahead in AI-powered software development. 🐙

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