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Agentic Coding For 100 Developers
How has a $3b Stockholm SaaS company transitioned 100 developers to AI-native development over a few weeks?
Daniel shares how he helped Odevo with exactly this, but the answer might be more than you expect – it involves just as much discovery and psychology as it does training.
Learn about the social and business prerequisites for such a transformation, the syllabus that enables developers to use multi-agent workflows, and how ‘one-and-done’ training is insufficient for this type of behavioural change.
About the Speaker
Daniel is Head of Product at re:cinq, an AI-native transformation consultancy, and a CTO Craft 100 member. He founded cloud consultancy EngineerBetter, spent six years helping banks, government and defence organisations deliver software faster, then scaled and sold the business. Now he focuses on agentic coding, AI-native engineering, and software factories – with a practical, engineer-first perspective: fix your path to production before you let agents anywhere near it.
Real-Time Sign Language in the Cloud: Building Accessibility Infrastructure on AWS
Accessibility is too often an afterthought – bolted on at the end, limited by budget, or simply impossible without a human interpreter in the room. Signapse is changing that.
In this talk, Alex Le Peltier, CTO of Signapse, will show how a proprietary GenAI model hosted entirely on AWS is delivering real-time AI sign language at mass-market scale – from live flight announcements at Heathrow to Netflix live streams.
By combining AWS infrastructure with custom and public LLMs, Signapse has built a platform that fills the critical gap where interpreters can’t be present, freeing up scarce interpreter resources for where they matter most.
About the Speaker
Alex is a serial startup-er and tech leader with over 13 years of experience in both the public and private sectors. He’s passionate about understanding what challenges are faced by the deaf community and building innovative solutions that make a difference in people’s lives.
Dan Keeley
Principal Data EngineerReburaEvent Date: 11/03/2026Topics: AI, CICD, Cost Optimisation, Data, S3Predictable Designs in Data Engineering on AWS
What if we treated data engineering systems the way world-class hardware teams treat products headed for mass production?
John Teel (Texas Instruments) has spent years taking complex hardware from prototype to dependable, high-quality production at scale. In this talk, Dan borrows those “production-grade” principles – predictability, repeatability, and ruthless attention to failure modes, and translates them into practical patterns for building data platforms on AWS.
This is less about any single AWS service and more about building data systems that behave consistently, even as requirements, volumes, and teams change.
What you’ll learn:
Attendees will leave with practical, reusable approaches they can apply immediately:
- How to make systems maintainable
- How to keep costs efficient without heroics
- How to borrow best practices across engineering disciplines
About the Speaker
Dan is a community driven data engineer and now c-level team builder working with a wide range of Data technologies in the cloud. He is on the steering group for the biggest tech conference in London – BigDataLDN. He has won a number of awards, including being named in the top 50 data leaders and influencers in the UK.
When Things go Wrong: Managing Cost in the Cloud
There are lots of sessions that talk about the theory of cost management and tooling available on AWS, but far less look at the real world challenges of using them in production, as well as the rough edges they have – not to mention what happens when things go wrong!
In this session Matt will cover some of the hard lessons learned from working with AWS over the last 14 years, with a real-world example of how a simple mistake can cause problems, and how to avoid them in future.
The presentation is aimed at both those new to AWS and to veterans of the platform, and also includes practical guidance on how to improve your cost management on AWS.
About the Speaker
Matt has been using AWS since 2011, including 8.5 years at AWS in the public sector tech org. He has presented at 6 separate re:Invents and dozens of other events, covering a wide range of topics. Now as CEO of Rayo, Matt continues to help customers deliver mission outcomes using cloud technology.
AI as Your New SRE: The Next Frontier of DevOps
In the early days of DevOps, automation was the revolution. Today, AI is bringing the second wave – not just automating tasks, but reasoning, predicting, and autonomously managing complex systems like a tireless Site Reliability Engineer.
In this talk, we’ll explore how AI will reshape the DevOps lifecycle: from intelligent CI/CD pipelines and automated incident response to self‑healing infrastructure and generative configuration management.
You’ll see live demos of AI detecting, diagnosing, and fixing infrastructure issues in real time, and we’ll discuss the risks – over‑reliance on AI, governance challenges, and the need for explainability – plus the steps teams can take today to prepare for an AI‑augmented future.
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