8 Sep 2026
6:30am – 10:00am
Eficode
Join us for this half-day event designed for technology leaders looking to move beyond experimentation and rethink how AI fits across the software development lifecycle. Through expert sessions, practical insights, and real-world customer examples, discover what it really takes to build, scale, and operationalize AI successfully across your organization.
Book your place now
Explore the future of AI-driven software delivery
AI is accelerating software delivery at an unprecedented pace, but for many organizations, the challenge is no longer access to AI. It’s how to scale it effectively, govern it responsibly, and turn it into measurable business value.
Join us to explore:
How AI is reshaping the Software Development Lifecycle
The challenges organizations face when scaling AI adoption
Practical approaches to embedding AI into tooling, workflows, and delivery pipelines
How to move from experimentation to scalable, business-critical impact
Real-world examples of AI driving measurable outcomes
You’ll leave with actionable insights to help your organization build a scalable, AI-enabled SDLC.
Agenda
AI ambition is everywhere, but meaningful execution remains a challenge.
While AI coding tools are powerful, real value comes from more than just choosing the right models. Success depends on strategy, guardrails, testing, QA, and context engineering.
As AI accelerates code production, organizations must rethink the SDLC to turn AI capability into a measurable business impact.
In this session, you’ll explore the risks, rewards, and realities of scaling AI successfully across software delivery.
AI ambition is everywhere, but meaningful execution remains a challenge.
While AI coding tools are powerful, real value comes from more than just choosing the right models. Success depends on strategy, guardrails, testing, QA, and context engineering.
As AI accelerates code production, organizations must rethink the SDLC to turn AI capability into a measurable business impact.
In this session, you’ll explore the risks, rewards, and realities of scaling AI successfully across software delivery.
In this session, you will learn about GitLab Duo Agent Platform, a DevSecOps orchestration platform that enables developers to collaborate and work in parallel with multiple AI agents and agentic flows. Built on GitLab’s unified context, with full context across the software development lifecycle, it helps teams improve productivity and cycle time by delegating routine tasks to specialized agents and flows, while maintaining enterprise-grade security, governance, and organizational controls, and keeping AI use aligned with their requirements.
In this session, you will learn about GitLab Duo Agent Platform, a DevSecOps orchestration platform that enables developers to collaborate and work in parallel with multiple AI agents and agentic flows. Built on GitLab’s unified context, with full context across the software development lifecycle, it helps teams improve productivity and cycle time by delegating routine tasks to specialized agents and flows, while maintaining enterprise-grade security, governance, and organizational controls, and keeping AI use aligned with their requirements.
AI agents can now produce code faster than any human team, but speed alone does not create software that is secure, reliable or maintainable. As developers move from writing code to guiding agents and verifying their output, software engineering needs a new operating model.
This presentation introduces the Agent Centric Development Cycle, or AC/DC: a methodology for guiding, verifying and improving AI-generated code throughout its lifecycle. We will explore why human review alone is insufficient, how zero-trust, multilayered verification combines deterministic analysis with context-aware agentic reasoning, and how verification can be embedded into development, continuous integration and code maintenance.
Attendees will leave with a practical model for building an AI-enabled software factory that can move at agentic speed without sacrificing enterprise quality, security or control.
AI agents can now produce code faster than any human team, but speed alone does not create software that is secure, reliable or maintainable. As developers move from writing code to guiding agents and verifying their output, software engineering needs a new operating model.
This presentation introduces the Agent Centric Development Cycle, or AC/DC: a methodology for guiding, verifying and improving AI-generated code throughout its lifecycle. We will explore why human review alone is insufficient, how zero-trust, multilayered verification combines deterministic analysis with context-aware agentic reasoning, and how verification can be embedded into development, continuous integration and code maintenance.
Attendees will leave with a practical model for building an AI-enabled software factory that can move at agentic speed without sacrificing enterprise quality, security or control.
Talk details coming soon.
Talk details coming soon.
This session shows how Eficode's Road to Rovo was applied in a real-world context to enhance productivity, decision-making, and knowledge discovery across the business.
The session highlights practical use cases, key lessons learned, and measurable outcomes, demonstrating how Rovo can move beyond experimentation into scalable, business-critical impact within the toolchain.
This session shows how Eficode's Road to Rovo was applied in a real-world context to enhance productivity, decision-making, and knowledge discovery across the business.
The session highlights practical use cases, key lessons learned, and measurable outcomes, demonstrating how Rovo can move beyond experimentation into scalable, business-critical impact within the toolchain.
Speakers
Oskar Holm
Eficode
Consultant
Oskar is a consultant helping product and engineering teams adopt AI and maximize the benefits of these new tools. He is an enthusiastic proponent of agentic AI for coding, which he sees as a quality-of-life upgrade for developers.
Ciara Twomey Nielsen
Eficode
Atlassian Solution Architect
Ciara helps organizations get practical value from Atlassian’s AI capabilities, with a particular focus on Rovo and intelligent collaboration. She works with customers to simplify complex ways of working, improve knowledge discovery, and design Atlassian solutions that fit how teams actually operate. Her expertise helps organizations adopt AI with confidence while strengthening governance, productivity, and teamwork across the Atlassian ecosystem.
Andy Waterhouse
GitLab
Director EMEA Solution Architects
Andy Waterhouse is Director of Solutions Architecture for EMEA at GitLab, helping organisations adopt DevSecOps and AI. He has held global leadership roles at MongoDB, EMC’s Advanced Software Division and Chainalysis. Andy is committed to helping customers translate technology investments into measurable business outcomes and sustained value. A passionate coach and mentor, Andy has been a regular speaker at conferences such as Gartner, RSA Conference, IT Expo, CyberTech Europe, NATO NIAS and other industry events.
Tom Howlett
Sonar
Director of AI Engineering Engagement
Tom Howlett is Director of AI Engineering Engagement at Sonar, leveraging over 30 years at the forefront of Software Development Practices. Starting as a developer in ‘90’s .com startups in London and NYC, he transitioned to guiding companies in adopting agile software engineering practices with a strong focus on quality. This commitment eventually brought him to Sonar, where he led Product Management before moving to AI Engineering Engagement. He now focuses on how developers can build an efficient Agent Centric Development Cycle without compromising quality.
Maik Müller
Eficode
Principal Consultant
Maik's diverse background in IT, industry, and academia, combined with his creative and innovative nature, has allowed him to excel as a Principal Consultant and GitHub trainer. He keenly understands customer needs and seeks sustainable solutions and workflows for all team members, ensuring streamlined and efficient processes.
His passion for gaining and sharing knowledge has made him a valuable asset in the GitHub community. He continually seeks to improve his skills and knowledge while sharing his expertise with others. This approach has enabled him to drive positive change and innovation within his team and the broader organization.
- AI
- Atlassian
- Microsoft
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