Master Poolside with our step-by-step tutorial, detailed feature walkthrough, and expert tips.
Explore the key features that make Poolside powerful for ai coding & development workflows.
Custom foundation models trained specifically for enterprise software development deployed within client security boundaries
Deploy sophisticated coding AI models on-premises for sensitive codebases without data leaving organizational control
Single and multi-agent systems that can plan, use tools, and execute in sandboxed environments with policy governance
Create teams of AI agents that collaborate on complex software projects with different specializations and capabilities
Dedicated research engineers who embed with client teams to design, build, and operate AI systems for specific environments
Get expert AI researchers working directly within your development team to build custom solutions for your specific challenges
On-premises, VPC, or workstation deployment options with role-based access control and air-gapped network support
Deploy AI development tools in highly secure environments like defense contractors or financial institutions
IDE extensions, terminal tools, and workflow integrations that work across existing development environments
Seamlessly integrate AI assistance into existing development workflows without changing tools or processes
Connectors to repositories, databases, data warehouses, and private documentation within strict security boundaries
Connect AI systems to private codebases, internal documentation, and proprietary data sources while maintaining security
Poolside operates at a much higher level, building complete multi-agent systems for autonomous software development rather than code completion. Their focus is on enterprise deployment with custom foundation models and embedded research engineers, whereas most coding assistants are cloud-based developer tools.
Poolside targets large enterprises with complex software development needs, strict security requirements, and the resources to support custom AI deployment. This includes financial institutions, defense contractors, and large technology companies with significant internal development teams.
Poolside offers on-premises deployment, private VPC hosting, or workstation-based installation options. All processing happens within client security boundaries with role-based access controls and support for air-gapped networks. They never process client data in shared cloud environments.
Poolside uses a Forward Deployed Research Engineer model where dedicated researchers embed with client teams for extended periods. Implementations are highly customized and typically involve multi-month engagements to design, build, and operate AI systems specific to the client environment.
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Tutorial updated March 2026