Learn how to use open-source harnesses like OpenCode & Pi w/ your own LLM and with it, build a real-world application

Registration to this event is only valid through the Luma platform: https://luma.com/11txn8gq

​Hello code campers! ​Since everyone is talking about using harnesses such as Anthropic Claude or OpenAI Codex, meaning, everyone is probably tired of hearing about them, we've decided to go in a different direction and explore other, lesser known things such as, OpenCode and Pi DOT Dev.

Come and join us and learn how to work with a wide range of open-source large language models (LLMs) such as DeepSeek V4, Gemma, Kimi K2, and GLM across various local-first environments. This comprehensive workshop is designed to teach you what is a code harness, how many types of them there are out there (you might be familiar with Claude Code or Codex or CoPilot but there are others and since the big-tech companies are moving to token-based usage, why not run your own solution locally). Also, we'll explore how to go about having effective agentic coding workflows while benchmarking model performance and hardware requirements.

​We will go through the setup process, focusing on how to install the desired LLM runner like Ollama or LMstudio locally.

​This will be our 7th event in our series of local-first, open-source AI events; therefore, we will try to focus on building a setup that doesn't depend on Big Tech but on smaller open-source tech instead.

​This workshop is open to all levels, from beginners to experts.

​Bring your laptop (make sure it's fully charged as local LLMs tend to be power-hungry), and don't forget to bring your coding gear (hoodie). ​This workshop will be most likely accompanied by a guest speaker (TBD).

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​Prerequisite

​Prerequisite: a local Ollama, LMStudio installation or equivalent (but if you don't have any of that, don't worry, come a bit early and we will help you). ​If you want to take a quick look at the slides from the previous events fell free to do so: ​https://andysign.github.io/ai-london-01/ (Ollama); ​https://andysign.github.io/ai-london-02/ (LangFlow, not really related but still) ​https://andysign.github.io/ai-london-03/ (private RAG w/ Anything LLM) ​https://andysign.github.io/ai-london-04/ (AI-native browsers) ​https://andysign.github.io/ai-london-05/ (OpenClaw basics) ​https://andysign.github.io/ai-london-06/ (OpenClaw advanced)

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​Agenda for the evening (Subject to change)

​18:00 - 18:30 Arrival and networking Mingle with fellow developers over refreshments.

​18:30 - 18:45 Introductions Intro and a bit of audience engagement.

​18:45 - 19:40 Workshop ​Hands-on technical workshop (if you are non-technical it's OK, tag along).

​20:30 - 20:45 Guest Speaker

​20:30 - 21:00 Networking

​21:00 - Closing remarks and follow-up ​ END: Carry on the fun at a nearby pub around the corner.

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Event Venue

We'd like to extend a heartfelt thank you to Encode Club. Encode Club has spent over five years fostering a global community of developers, researchers, and founders in Web3, AI, and emerging technologies. The Encode Hub brings everything together under one roof, providing a dedicated environment for collaboration and innovation through meetups, co-working, and in-person events.