Devin vs Poolside (2026)

Devin

by Cognition

Poolside

by Poolside

Pros

• ✓Cognition names Citi, Mercedes-Benz, Goldman Sachs, Elevance, Dell, Santander and the U.S. Army and Navy among customers, publishes more than thirty customer stories, and reported crossing $1 billion in annualized revenue run rate in September 2026.
• ✓Devin Desktop, formerly Windsurf, is bundled into every paid plan, so Pro at $20 per month covers both autonomous cloud sessions and agentic coding in a local IDE under one subscription rather than two.
• ✓MCP works in both directions. Cognition publishes an MCP server at mcp.devin.ai that external agents connect into to manage sessions, playbooks and schedules, and Devin consumes external servers through its MCP Marketplace.

Limitations

• –Devin Cloud sessions run asynchronously, so tasks take minutes to hours rather than the near-instant responses developers expect in an editor. Live debugging and pair programming move to Devin Desktop or the CLI, which run against the same usage quota.
• –Cognition publishes no autonomous task-completion rate. Its 89% figure measures share of commits inside Cognition itself rather than the proportion of assigned tasks completed, and its own case-study language describes a human approving changes on large migrations.
• –Usage past the included quota bills at API rates, so monthly spend is hard to predict for teams running several concurrent sessions, and Enterprise moves to Agent Compute Unit billing with no published rate.

Pros

• ✓Agents run natively in VS Code, Visual Studio, Zed, IntelliJ, and terminal with MCP-connected access to Slack, Jira, GitHub, Workday, and Salesforce: the broadest enterprise tool surface of any AI coding agent platform with centralized MCP server management.
• ✓Four enterprise deployment options including air-gapped Dell hardware, bare metal, AWS, Azure, and Google Cloud: gives regulated industries and government agencies full control over data residency and network architecture.
• ✓Forward Deployed Research Engineers ship the first automated workflow with your team in weeks: an engineering partnership model that reduces implementation risk for large enterprises and government deployments.

Limitations

• –Enterprise-only with no public pricing or self-serve tier: Poolside targets Fortune 500 and government deployments; individual developers and mid-market companies need productized tools like Cursor or Claude Code.
• –No public trial or product evaluation path: procurement teams cannot evaluate Poolside without a sales engagement, unlike competitors that offer free tiers or documented API access.
• –Newer in the foundation model market than OpenAI, Anthropic, or Google: while well-funded at $626M+, Poolside has less production deployment history than established foundation model providers, with Laguna models only entering research preview in May 2026.