Cleverbit Software

AGENTIC DELIVERY WEBINARS

These webinars bring together the people building and shipping software with AI agents to talk through what actually works. Each webinar looks at a different part of the agentic SDLC, from the gates and risk tiers that keep delivery accountable to the guardrails that stop an agent from making a decision no one signed off on.
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UPCOMING WEBINAR

When the agent decides, who answers?
… accountability in AI-assisted delivery

Source control records who committed code. It does not record who made the decisions behind it, and that gap is widening as AI agents take on more of the delivery process. This session explores how organisations can adapt accountability models for an AI-assisted development environment.

 

  • What's covered:
  • How organisations can adapt accountability models for an AI-assisted development environment
  • Why everything downstream of an agent should be treated as AI-influenced and checked consistently
  • The line between what automated controls can catch and what needs human ownership
  • A practical framework for deciding where human oversight remains essential
  • A live demonstration of how teams can maintain meaningful human accountability
AI accountability Webinar
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PAST WEBINARS

Agentic Delivery in Practice
… what it looks like inside a working team

In our last webinar we made the case for why agentic delivery needs an operating model: where the professional ceiling sits, why source control alone no longer tells you who was actually accountable, why old measures stop working the moment agents are involved. This one is the layer underneath. The operational calls you make day-to-day when you’re inside it.

What we’ll cover:

  • A mental model for when a change needs more scrutiny, and when it doesn't
  • A deeper look at the agentic development process: what to put in context, how to structure it
  • How team collaboration changes when developers spend more time with agents than with each other
  • How we tell whether our team is using AI productively, and the risks we keep an eye
WATCH THE RECORDING

Agentic Software Development
…Moving fast without breaking things

Most development teams are already using AI. What’s less clear is where the risks sit and what controls are actually needed.

This webinar recording cuts through the noise. It covers what changes when code generation becomes cheap but governance, verification and discipline remain the bottlenecks. If your organisation is adopting AI and wants to move faster without losing control, this is the session for you.

  • What's covered:
  • What Vibe Code Drift is and why it matters
  • How AI tools change engineering risk exposure
  • Security and architecture risks from low-scrutiny AI code
  • How to adopt a no-trust posture for AI
  • Agentic review workflows combining AI with human oversight
  • Practical steps to maintain speed and improve assurance
WATCH THE RECORDING

What attendees are saying

Jeremy Pullicino
Director of Engineering
Machete Tech

I found the webinar refreshing; there was no sales pitch and it was not an "AI will solve the worlds problems" vibe. Quite the opposite, it was an eye-opener about how careful we need to be with this tech and its promises."

AI solutions Developer

"I enjoyed the Agentic Software Development webinar. It was concise, practical, and gave a good picture of how agentic systems can enhance development workflows. It was a valuable session, and I'm glad I attended."

Mustafa Arınmış
Backend Software Engineer
SAN TSG

"The webinar was very useful. I came across the concept of "Dark Code" for the first time, which I found very interesting. The topic was also timely for us, as we're currently adding LLMs to our SDLC"

Chris Attard
Director
QuickFix Malta

"Honestly it was a very well informed webinar. Eman presented the material in a way that made me stop and genuinely assess where I sit as an AI-assisted builder."

Sofia Cassarino
QA Analyst

"I joined as a QA engineer, and the"Vibe Code Drift" part was very relevant to me. The idea that behaviour gets assumed rather than properly verified is something QA people deal with all the time, so it was good to hear it framed so clearly."

Klodiana Ducka
QA product engineer

I really enjoyed the webinar. The points around AI generated code risks, code reviews, traceability, and maintaining human ownership over the SDLC were particularly interesting and very relevant given how quickly AI assisted development is evolving.

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