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Amazon Bedrock

poolside in Amazon Bedrock (coming soon)

Addresses the challenges of modern software engineering for large enterprises

Get started with Amazon Bedrock

Introducing poolside's Assistant, powered by Malibu and Point models

poolside addresses the challenges of modern software engineering for large enterprises. poolside's Assistant—powered by its generative models, Malibu and Point—excels at code generation, testing, documentation, and real-time code completion with advanced context awareness. AWS will soon be the first cloud provider to offer fully managed models from poolside.

poolside's Assistant

poolside's generative AI Assistant puts the power of poolside's Malibu and Point models right inside of your developers' Integrated Development Environment (IDE). poolside models are fine-tuned on your team's interactions, code base, practices, libraries, and knowledge bases.

Malibu

poolside's Malibu model excels at tackling complex software engineering challenges, such as code generation, test writing, refactoring, documentation, and more.

Point

poolside's Point model excels at low-latency code completion and uses advanced context awareness to accurately predict developers' needs.

Benefits

Fully integrated to offer an optimal experience to large-scale engineering teams.
Fine-tune poolside models on your specific code base and documentation to get increasingly relevant suggestions and develop your own proprietary model.
Write code faster with AI that understands your project context and accurately predicts what you'll need next.

Meet poolside

poolside is pioneering the next generation of AI-powered software development tools, purpose-built for modern engineering teams. poolside’s foundation models (FMs), Malibu and Point, are trained using Reinforcement Learning from Code Execution Feedback (RLCEF), a novel approach to building AI models that improves performance in coding tasks. poolside is deployed in your environment, which allows you to securely and privately connect it to your data and tailor it to your needs—ingesting your code bases, documentation, and knowledge bases to create a model that is uniquely suited to your dev teams and business.

Use cases

Transform your development velocity with AI that writes production-ready code blocks, understands complex requirements, and suggests optimized solutions in real time. Reduce time spent on boilerplate code and focus on solving core business problems.
Get context-aware code suggestions that understand your entire code base, not just the current file.
Create and update technical documentation. Turn tribal knowledge into accessible documentation that evolves with your project.

poolside in Amazon Bedrock overview

By making poolside models available in Amazon Bedrock, the models can continuously learn from your team's code base. They are fine-tuned on your practices and documentation, securely adapting to your specific project and helping developers tackle daily tasks with increased accuracy and efficiency.

Model versions

Malibu (coming soon)

Excels at tackling complex software engineering challenges, such as code generation, test writing, refactoring, documentation, and more.

Max tokens: 100,000

Languages: English

Fine-tuning supported: Yes

Supported use cases: Code generation, software engineering challenges, test generation, documentation generation, custom and fine-tuned development

Learn more

Point (coming soon)

Engineered for rapid code completion, using advanced context awareness to accurately predict developers' needs.

Max tokens: Over 1 million

Languages: English

Fine-tuning supported: Yes

Supported use cases: Rapid code completion, context-aware predictions, in-line API suggestions, and syntax error prevention

Learn more