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Poolside's family of foundation models purpose-trained from scratch for agentic coding. Laguna M.1 is the flagship model optimized for complex software engineering tasks with a 128K context window, supporting tool calling and multi-step reasoning. Laguna XS.2 is a lightweight, open-weight (Apache 2.0) model built for rapid agentic iteration, using a mixture-of-experts architecture with 33B total / 3B active parameters. Both models are trained on Poolside's own data and infrastructure using reinforcement learning, designed to write code autonomously rather than just offer chat-based suggestions.
Poolside's agent runtime that runs coding agents directly from the developer's shell, VS Code editor, or CI/CD pipelines without switching windows. Each agent operates in an isolated sandbox with configurable policy controls, end-to-end audit traces, and version control for agent work. It supports the open ACP standard for agent-to-editor communication and can automate code review, generation, and testing on every push. Agents work inline with the editor, providing suggestions, edits, and context without leaving the development environment.
A web-based, mobile-optimized agentic coding development and interactive preview environment that lets developers write code with Laguna models on the go. Shimmer provides an interactive preview environment for agentic coding workflows, allowing developers to build and iterate on software from any device. It pairs with Poolside's Laguna models to deliver AI-powered coding assistance in a browser-based interface designed for mobility and flexibility.
