AI is rapidly transforming software development. Tools like GitHub Copilot and collaborative AI IDEs such as Cursor have already driven a 20–50% increase in developer velocity. Now, with the emergence of semi-autonomous coding agents like Claude Code, we anticipate productivity gains of 2–5× — and the performance of these agents is doubling roughly every six months.
As agents grow more powerful, the need for safe, scalable deployment becomes critical. At Coder, we use our open-source platform to orchestrate secure sandboxes that provide agents with the tools and resources they need — without compromising security or infrastructure integrity.
In this session, we'll explore:
- The evolving landscape of agentic coding ecosystems
- How Model Context Protocol (MCP) can transform any developer tool or platform into an LLM-accessible system
- How to deploy and scale agents across any infrastructure using Coder open source
- Architectures we've seen succeed across individuals and organizations
- How we see the future of AI/agent interfaces evolving
We'll also showcase a live, interactive demonstration of Claude Code and Coder — where you’ll have the chance to collaborate directly with a sandboxed agent in real time.
Come chat about deploying AI agents safely and at scale — and what we’re learning from our users, customers, and research about what’s next.
Meetup will start at 6:30pm. Speaker will start at 7pm. Food and beverages will be served. Come early and socialize with our growing group of GenAI engineers, scientists and hobbyists,
