Amsterdam.dev is teaming up with DevOops, and once again, we're happy to be hosted by Datadog!
Join us for an evening of tech, talks, and connection!
Whether you're a seasoned dev, a curious newbie, or somewhere in between, this meetup is all about sharing ideas, solving problems, and sparking inspiration. We’re bringing together a community of tech enthusiasts to chat about what’s new, what’s next, and what’s just plain cool.
Expect great conversations, lightning talks, and a chance to meet people who love building, breaking, and fixing things as much as you do.
🎤 Speakers will be announced soon — stay tuned!
🍕 Snacks, drinks, and good vibes included.
First talk: Building Developer Experience through Open Source Programs and Policies - Ayodeji Ogundare (Adyen) 🎤
Open source is more than shared code—it’s a foundation for better software development. This talk explores how structured open source programs and well-crafted policies improve developer experience both within organizations and across open source communities.
Inside teams, open source workflows reduce friction, encourage code reuse, and speed up onboarding. Across communities, clear governance, licensing, and contribution models foster collaboration and build trust.
You’ll hear lessons from leading organizations where open source is central to their engineering and business strategy. We’ll cover how to design and maintain open source programs that improve tooling, drive collaboration, and contribute to business goals.
Second talk: Chat with your codebase with Candle and Tree-sitter - Pratim Bhosale (Treblle)
In this talk, we'll try to understand how AI coding tools help us chat with code and why Rust for ML makes sense.
We'll understand tools like Candle and Tree sitter along with concepts like Chunking, HYDE, Reranking, Embedding, ANN which are crucial to Machine Learning and building search tools.
Questions we'll discuss and find answers to:
1. Why is querying large codebases difficult?
2. How to parse and extract structured data from your codebase (e.g., functions, classes, and comments).
3. Connect parsed code with semantic embeddings to make it searchable.
4. Complete pipeline recap
This talk is tailored for Rust developers interested in combining Machine learning models and programming language parsing into their applications.
Agenda:
18.00 – Walk-in/Doors open 🚪
18.30 – Food & Drinks 🍕🥤
19.00 – Welcome
19.15 – Building Developer Experience through Open Source Programs and Policies - Ayodeji Ogundare (Adyen) 🎤
19.45 – Break 🥤🚽
20:00 – Chat with your codebase with Candle and Tree-sitter - Pratim Bhosale (Treblle) 🎤
20:30 – Get together
21:30 – Doors closing
During the event, we’ll be taking pictures. We plan to use these photos on our social media channels and for promotional purposes. We would like to ask for your consent in advance. By attending the meet-up, you give us permission to take photos of you. If you do not wish for your images to be used, please let us know beforehand so we can make sure that you are not included in any of our footage.
