Movies have promised the future where we can talk to AI Assistants with natural language and have them respond with all the nuances of humans. However for years we've been stuck with really "stupid" AI experiences over voice. With the advent of LLMS this is finally a reality!
Lots of different technologies have come together to create amazing audio experiences. However, there are some technical problems that we need to solve. In this talk we will learn how to chain these technologies, solve some of the common problems and build a new JARVIS together, powered by the LLM of your choice.


Javascript evolution has sped up (a lot) in recent years and event the most veterans developers find it hard to keep up with the latest trends. This meetup group aims to bring you monthly bite-sized updates on the world of Javascript along with a healthy dose of nice people, beer and pizza.
We are always looking for more speakers - submit your talk here (https://docs.google.com/forms/d/e/1FAIpQLSdFaatfveOUbrmer47jYb5J4J4ttxAFc1CgTjUDltBXmDOJmg/viewform)
Conversational interfaces like chatbots and voice assistants are rapidly becoming the future of how users interact with technology. In this talk, Salmen will share his thoughts and insights about the future of User-Interfaces, and he will show how to build customized, next-gen conversational UIs using NLUX ( https://nlux.ai ) – an easy to use open-source JavaScript library that he created.
Format: Technical talk with live demos, code and prompt examples
Description:
The role of the developer is fundamentally changing. We're moving from being executors who write every line of code to becoming orchestrators who conduct AI agents to build complex systems. This talk, based on my essay about transitioning from traditional coding to AI orchestration, shares practical insights from a year of experimenting with multi-agent development workflows. 🔗 Essay linked here: https://pivotech.substack.com/p/from-executor-to-orchestrator-my
Through real code examples and live demonstrations, I'll walk through my evolution from using ChatGPT for learning CS50 concepts to orchestrating Claude, Gemini CLI, and NotebookLM to build complete products. You'll discover the three distinct schools of AI development I've identified through hands-on experimentation: the One-Shot method, the Incremental approach, and my hybrid Layering technique.
I'll share the workflows I use to go from customer discovery sessions to deployed applications, including the mistakes, frustrations, and breakthroughs that shaped my approach. We'll explore the "Legacy Codebase Problem" that emerges from AI-generated code, the "Hyper-specificity Paradox" of detailed prompting, and the new skill set required to become an effective AI orchestrator.
Key Takeaways:
Three proven patterns for AI-assisted development and when to use each
Practical orchestration workflows for complex projects
The emerging skillset of the developer-orchestrator
How to maintain technical depth while leveraging AI efficiency
Real-world pitfalls and how to navigate them
Target Audience: Developers looking to evolve their practice in the age of intelligent agents. Minimal level of AI development experience required e.g. prompting Claude
Platform Sponsors

Torc is a community-first platform bringing together remote-first software engineer and developer opportunities from across the globe. Join a network that’s all about connection, collaboration, and finding your next big move — together.
Join our community today!

Don't let broken lines of code, busted API calls, and crashes ruin your app. Join the 4M developers and 90K organizations who consider Sentry “not bad” when it comes to application monitoring. Use code “guild” for 3 free months of the team plan.
https://sentry.io
Movies have promised the future where we can talk to AI Assistants with natural language and have them respond with all the nuances of humans. However for years we've been stuck with really "stupid" AI experiences over voice. With the advent of LLMS this is finally a reality!
Lots of different technologies have come together to create amazing audio experiences. However, there are some technical problems that we need to solve. In this talk we will learn how to chain these technologies, solve some of the common problems and build a new JARVIS together, powered by the LLM of your choice.


Javascript evolution has sped up (a lot) in recent years and event the most veterans developers find it hard to keep up with the latest trends. This meetup group aims to bring you monthly bite-sized updates on the world of Javascript along with a healthy dose of nice people, beer and pizza.
We are always looking for more speakers - submit your talk here (https://docs.google.com/forms/d/e/1FAIpQLSdFaatfveOUbrmer47jYb5J4J4ttxAFc1CgTjUDltBXmDOJmg/viewform)
Conversational interfaces like chatbots and voice assistants are rapidly becoming the future of how users interact with technology. In this talk, Salmen will share his thoughts and insights about the future of User-Interfaces, and he will show how to build customized, next-gen conversational UIs using NLUX ( https://nlux.ai ) – an easy to use open-source JavaScript library that he created.
Format: Technical talk with live demos, code and prompt examples
Description:
The role of the developer is fundamentally changing. We're moving from being executors who write every line of code to becoming orchestrators who conduct AI agents to build complex systems. This talk, based on my essay about transitioning from traditional coding to AI orchestration, shares practical insights from a year of experimenting with multi-agent development workflows. 🔗 Essay linked here: https://pivotech.substack.com/p/from-executor-to-orchestrator-my
Through real code examples and live demonstrations, I'll walk through my evolution from using ChatGPT for learning CS50 concepts to orchestrating Claude, Gemini CLI, and NotebookLM to build complete products. You'll discover the three distinct schools of AI development I've identified through hands-on experimentation: the One-Shot method, the Incremental approach, and my hybrid Layering technique.
I'll share the workflows I use to go from customer discovery sessions to deployed applications, including the mistakes, frustrations, and breakthroughs that shaped my approach. We'll explore the "Legacy Codebase Problem" that emerges from AI-generated code, the "Hyper-specificity Paradox" of detailed prompting, and the new skill set required to become an effective AI orchestrator.
Key Takeaways:
Three proven patterns for AI-assisted development and when to use each
Practical orchestration workflows for complex projects
The emerging skillset of the developer-orchestrator
How to maintain technical depth while leveraging AI efficiency
Real-world pitfalls and how to navigate them
Target Audience: Developers looking to evolve their practice in the age of intelligent agents. Minimal level of AI development experience required e.g. prompting Claude
Platform Sponsors

Torc is a community-first platform bringing together remote-first software engineer and developer opportunities from across the globe. Join a network that’s all about connection, collaboration, and finding your next big move — together.
Join our community today!

Don't let broken lines of code, busted API calls, and crashes ruin your app. Join the 4M developers and 90K organizations who consider Sentry “not bad” when it comes to application monitoring. Use code “guild” for 3 free months of the team plan.
https://sentry.io
Get in touch!
hi@guild.host