DevOps Exchange - London

AI Exchange June Ft. Wayve, Cato Networks & Coralogix

Thu, Jun 25 · 6:30 PM BST

Coralogix, Building 6, Devonshire Square, EC2M, London, GB

Join us on Thursday 25th June for our next AI Exchange event, hosted by Coralogix at their London HQ in Devonshire Square.

Pioneers of autonomous driving, Wayve, are exploring how Agentic AI can be integrated into software development in a measurable and trustworthy way. Cato Networks are applying AI to one of cybersecurity's most overlooked problems: the hidden risks buried within complex security policies. Finally our hosts Coralogix are addressing a challenge many engineering teams are beginning to face: AI coding agents are becoming part of everyday development, but very few organisations have visibility into how they're actually performing.

**Please make sure to head to the to AI Exchange Meetup page to register for this event**

As always, doors open at 6:30pm and talks start at 7pm sharp. We have another tight capacity for this event, so please RSVP as soon as you can to secure your space.

Agenda:

Lewis Isaac @ Coralogix
Who’s Watching the Agents? Observability for AI-Assisted Development

Code agents are already in your engineering workflow. The problem is that most organisations still have no visibility into what those agents are actually doing.
How many tokens are they consuming? How long are tasks taking? Are they introducing regressions? Are they measurably improving delivery, or just creating the feeling of progress?

The gap between “we have AI tooling” and “we understand our AI tooling” is where most teams are stuck right now.
In this talk, I will show you how OpenTelemetry can be used to instrument code agent workflows end-to-end, and how Coralogix Code Agents Observability brings all of those signals -token usage, cost, task duration, and code quality impact - into a single view.

Bio: Our speaker will be Lewis Isaac, Dev Relations @Coralogix bio Lewis is a Developer Advocate at Coralogix, where he works closely with developers to explore smarter approaches to observability and how deep technical telemetry can be connected to meaningful business and user outcomes. Prior to joining Coralogix, he was a Tech Lead at IBM, where he led the technical delivery of mobile application projects for clients including BP and a major UK bank.

Dave Kirk @ Wayve
Agentic Code Review @ Wayve

At Wayve, we have been pursuing an approach to Agentic workflows that prioritises observability and evaluation of quality of work. Our Agentic Code Review pipeline has been at the forefront of this initiative. In this talk, we'll discuss some of the approaches and lessons learned over the past four months of operating this pipeline

Bio: Dave Kirk has been programming for over 20 years, and doing so professionally for a decade. His career has primarily been focused on cloud infrastructure and development workflows. He is now the lead engineer in Wayve's effort to adopt agentic AI as an impactful part of our SDLC and beyond.

Avidan Avraham @ Cato Networks
Autonomous Policies Using LLMs to Sweep Up Misconfigs

Security policies and engines today are complex ecosystems - not just defined by rigid, structured configurations but also by many layers of free-text and meta-data that tell the real story behind a rule or a configuration. Traditional configuration analysis can flag obvious issues, yet it often overlooks the contextual “crumbs” left behind by temporary fixes, ad-hoc tweaks, or legacy testing exercises. These remnants, much like orphaned data in a software system, can create unexpected vulnerabilities that attackers are eager to exploit.

In this talk, I introduce a pioneering AI-driven strategy inspired by the concept of a software Garbage Collector. Just as a Garbage Collector continuously cleans up memory leaks, our AI agent proactively sifts through the meta-configuration, analyzing unstructured fields—free-text names, descriptions, annotations, and even multilingual notes—to identify contextual misconfigurations before they evolve into high-risk liabilities.

Advanced NLP is key: semantic analysis decodes the intent behind free-text entries, while contextual classification organizes policy components by interpreting diverse cues. This integrated approach detects anomalies that traditional tools may miss, shifting policy management from static settings to dynamic, context-rich narratives that reveal hidden security gaps.

We hope to see you there for another great AI filled evening!

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