Event

Supercharge your Software development lifecycle with AI

Thursday November 12th, 2026, London

När

12 Nov 2026

1:00pm – 4:30pm

Arrangörer

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.

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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

12:30
Lunch and networking

12:55
Welcome and introduction

13:00
Why your code is worthless and strategy is everything - Oskar Holm, Eficode

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.

13:30
AI Foundry and agent orchestration - Microsoft

14:00
Coffee break

14:20
Architecting Safe Autonomy: Isolation and Permission Models for Modern AI Tools - Sam Lane, Eficode

If it's inside my network, I can trust it." No longer rings true. AI agents aren't passive code; they're actors with credentials and initiative. Give them permission, and they may use it in ways you never predicted. The moment an agent can read a webpage, call an internal API, or access a database, every system it touches needs the same scrutiny as something on the open internet.


This talk covers what has to change across the SDLC: sandboxing that gives you a real kill switch, permission boundaries scoped to the task instead of the agent, and audit trails you can actually investigate when something goes wrong.


Threat modeling used to be about external actors. Now your own agents belong in that model too. The goal is one that holds up once agents are writing, testing, and shipping your code, so you can hand over the keys and still sleep.

If it's inside my network, I can trust it." No longer rings true. AI agents aren't passive code; they're actors with credentials and initiative. Give them permission, and they may use it in ways you never predicted. The moment an agent can read a webpage, call an internal API, or access a database, every system it touches needs the same scrutiny as something on the open internet.


This talk covers what has to change across the SDLC: sandboxing that gives you a real kill switch, permission boundaries scoped to the task instead of the agent, and audit trails you can actually investigate when something goes wrong.


Threat modeling used to be about external actors. Now your own agents belong in that model too. The goal is one that holds up once agents are writing, testing, and shipping your code, so you can hand over the keys and still sleep.

14:50
AI implementation, from idea to value - A real life customer journey

15:20
Wrap up and Q&A

15:40
Drinks and networking

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.

Samuel Lane

Eficode

Solutions Architect

Eficode is the leading DevOps company in Europe, driving and building the future of software development across 10 countries, with 500+ experts in DevOps and sustainable software development. Our Eficode ROOT managed DevOps platform provides centralized access control and real-time visibility of project status, quality, and performance that integrates with 50+ of your preferred tools, including the Atlassian Stack and open-source systems like Jenkins and Kubernetes.

Microsoft

  • AI
  • Atlassian
  • Microsoft

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