AI: From Possibilities to Production

This October, Algolia invites developers, engineers, and visionaries to DevCon 2025: a two-day exploration into the delicate balance between power and simplicity, between boundless possibility and unrelenting precision.

AI: From Possibilities to Production

We believe engineering challenges are not obstacles—they are invitations to design better answers. Developers have been imagining the potential of AI for sometime. Now, they are asked to deliver. To move from experimentation to enduring solutions. To build with architecture, infrastructure, and long-term maintainability in mind. To confront latency, relevance, and integration with precision. To make thoughtful choices—between tools, between trade-offs, between what is possible and what is practical.

This is why our 2025 DevCon theme is “AI: From Possibilities to Production.”

Algolia’s role in this journey is unmistakable. Our platform unites hybrid retrieval, real-time indexing, vector search, and production-grade performance. This theme gives us the space to show how Algolia empowers developers to transform ideas into reality, seamlessly, elegantly, and reliably.

Why it matters

We believe that the future of search and discovery is not defined by technology alone, but by the care with which it is imagined and refined. The conversations at DevCon 2025 will not simply be about what can be done—they will explore what should be done, and how to make it beautiful.

This is a gathering for those who obsess over the invisible: the microseconds saved, the friction removed, the moments when everything simply works.

The sessions

Every session at DevCon 2025 has been curated with the same meticulous care we give our technology—stripped of the unnecessary, leaving only the meaningful.

How Unintended Double Encryption Crippled Our Search Engine Performance
Staff Software Engineer Antoine Hémery unravels the quiet complexity behind a hidden performance fault—an accidental layering of encryption that suffocated throughput. It is a story of discovery, collaboration, and the beauty of working alongside Microsoft engineers to resolve what others might have accepted as a limit.

AI and the Lawyers of Yesterday and Tomorrow
Deputy General Counsel Laure Carli shares a personal transformation, from navigating intellectual property in a pre-AI world to becoming a legal architect for the age of neural networks. It is at once a technical story and a human one.

The Fellowship of AI
Maria Lungu and Paul-Louis Nech—Galadriel and Gandalf—invite us into their world, where UX and ML meet in both harmony and tension. This is not a contest of disciplines but an orchestration of perspectives.

From Search-as-You-Type to AI Search: Keeping Performance Aligned
Xavier Roche reminds us that performance is not an afterthought but a discipline. Every new capability must be weighed, balanced, and tuned until speed feels effortless.

Automating “Get the Look”
Solutions Engineer Oscar Meunier reveals how LLM-driven outfit merchandising creates an instantly shoppable aesthetic—designing not just an algorithm, but an experience.

An LLM Journey: From a Simple Dev Request to an Infra Hell
Quentin Renaud’s journey begins with a single question and descends into the intricate, resource-hungry depths of AI infrastructure. It’s an ode to the art of constraint.

Hacking with Purpose
Joni Khattar celebrates the power of a well-placed constraint: a hackathon’s finite time and focus, producing ideas that resonate far beyond their brief.

Algolia’s Journey of Infrastructure Scale
Jia Lei takes us from the first index to the largest possible dataset, showing the subtle engineering decisions that allow Algolia to keep its promises of speed and relevance—at any size.

And beyond these—stories of scaling machine learning rankings without customer code changes, solving the cold start problem with synthetic data, building smarter beauty search, and orchestrating queries at breathtaking scale.