London, UK · 18 June 2026
Rewriting the lifecycle: AI from idea to production
YLD Innovate brings together C-suite level technology, business and product leaders for an evening of open, peer-level conversation.
On 18 June 2026, join engineering leaders in person to discuss how AI is reshaping the entire software development lifecycle: from how code gets written and reviewed, to how it gets tested, secured, shipped, and operated in production.
Seats are limited, so please register your interest to attend, and we will be in touch to confirm your attendance.
A curated evening for engineering leaders and founders.
Most AI-in-engineering discussions stop at the individual developer. We're going further: what's working when you roll this out across hundreds of engineers with different tools, codebases, and risk tolerances.
We'll cover where AI actually shifts the numbers (and where the gains evaporate), what changes for team structure and code review, and how engineering leaders are rethinking how they measure effectiveness.
You'll leave with:
- Concrete examples from organisations rolling this out across thousands of engineers.
- A clearer view of where the productivity claims hold up and where they don't.
- Time with peers running into the same problems you are.
Fireside chat
✦ MODERATOR
Julie-Laure Mikulskis
Chief Operating Officer
YLD
Julie is COO at YLD, where she leads across engineering, product design, client services, and commercial growth. With 15+ years of experience, she tackles complex digital challenges using her expertise in Lean-Agile and DevOps to ensure high-quality delivery and innovation. Julie leads teams spanning software engineering, data science, and product design, focusing on delivering top-tier results while nurturing a collaborative environment.
✦ PANELIST
Fatma Dogan
GTM
Anthropic
Fatma is a go-to-market professional at Anthropic, where she works on bringing Claude’s AI capabilities to enterprise clients and markets. Before joining Anthropic, she built a broad foundation across strategy, partnerships, and consulting, working with organisations including the UNDP through Columbia University, alongside early-stage ventures and advisory firms. Her experience spanning international development, startups, and now frontier AI reflects a career focused on building bridges between complex products and the people and organisations that can benefit from them.
✦ PANELIST
Sérgio Ramos
Head of Engineering
YLD
✦ PANELIST
Sérgio Ramos
Head of Engineering
YLD
Panel discussion
✦ MODERATOR
Sérgio Ramos
Head of Engineering
YLD
Sérgio has been at the heart of YLD's technical evolution since its earliest days, shaping the engineering culture and strategic direction that define the company today. He is committed to empowering the engineering team and ensuring every client engagement delivers real, lasting impact. With AI reshaping the industry, he is focused on what comes next: how engineering teams can go deeper, build smarter, and create truly differentiated products.
✦ PANELIST
Fred Oliveira
VP of Engineering
Snyk
Fred is an engineer and entrepreneur with over 20 years of experience building products, best known as TechCrunch's first employee, co-founder of Crunchbase, and co-author of O'Reilly's first book on Redis. Today, Fred works on AI at Snyk, where he builds evals and tools to uncover and mitigate risks associated with AI. Beyond Snyk, he is one of the co-organizers of LisbonAI, and an active startup mentor.
✦ PANELIST
Gonçalo Silva
CTO
Doist
Gonçalo is a seasoned advocate for distributed teams who has worked remotely for over a decade and led global teams for most of that time. A technologist at heart with a near miss in astrophysics, he brings a thoughtful perspective to technical leadership, communication culture, and the future of work. He has led AI adoption at Doist and into Todoist with privacy, security, and tasteful UX at the centre, and remains hands-on through projects like Tau, a coding harness on top of Pi. Outside Doist, he co-organises Lisbon AI and is an active tinkerer and mentor.
✦ PANELIST
Vitor Rodrigues
Senior Staff Software Engineer
Google DeepMind
Vitor Rodrigues is an Engineering Lead at Google DeepMind, where he leads the Gemini Deployment team. He is responsible for driving the research-to-production model serving lifecycle, focusing on innovative, scalable, and efficient inference performance techniques and fleet-wide efficiency. Previously, he built and scaled Google’s ML infrastructure for training and experimentation. Vitor has also dedicated several years to applying AI/ML in Healthcare, including roles at Google and Curai. Beyond his primary work, he is an active angel investor and advisor, enjoying the opportunity to support early-stage founders in AI, with a particular focus on Health and Life Sciences
Agenda
18:00
Doors open, welcome drinks and food
18:30
Welcome remarks and intros
18:45
Fireside chat with someone from Anthropic
19:15
Break
19:30
Panel discussion and Q&A
20:15
Closing remarks
20:30
Networking and drinks
Agenda highlights
From autocomplete to orchestration
What does code review look like when PRs are larger and more frequent? How do security practices adapt when the attack surface shifts?
Adopting AI across large, complex organisations
We’ll discuss what adoption actually looks like in practice, how platform infrastructure needs to change, and how you bring an entire engineering organisation along without losing quality or control.
Measuring what matters
How do you measure the real impact of AI on engineering effectiveness, what incentives actually drive adoption, and what does good look like when the whole lifecycle has changed?