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Compare/Aider vs Poolside

AidervsPoolside

Generated from the two spec rows. Green marks the better value where a spec has a clear direction. Everything else is just different.

Aider
Aider AI (Paul Gauthier) · Terminal agent
#7OSS
Panel
7.1
2 spec wins
Reliability
7.2
Usefulness
6.8
Cost
7.5
Longevity
7.0

“Commits every change to git so you can see exactly which one broke the build.”

Poolside
poolside · Terminal agent
#15MCP
Panel
6.9
3 spec wins
Reliability
6.8
Usefulness
7.0
Cost
6.5
Longevity
7.2

“One of its three network policies is named unsafe-allow-all, which is at least the most clearly labelled decision on this board.”

Spec by spec

SpecAiderPoolside
Architecture
CategoryTerminal agentTerminal agent
Runslocallocal, sandbox, cloud
Platformsmacos, linux, windowsmacos, linux, windows
Context windownot documented1M tokens on Laguna S 2.1, 256k on XS 2.1 and M.1
Protocols
MCP clientNoYes
MCP serverNoNo
Capabilities
Runs terminal commandsYesYes
Multi-file editsYesYes
Git operationsYesYes
Browser controlYesThe /web command and URL detection drive a real Chromium through Playwright to render and read pages (--disable-playwright turns it off); the --browser flag is only aider's own Streamlit GUI. NoWeb search and fetch are documented; there is no DOM-level browser automation.
Sandboxed executionNoAider publishes a Docker image as an install option only; commands it runs are not sandboxed. YesTool commands run inside a container on your machine and need a local Docker engine; network policy is off, allow-list or unsafe-allow-all, enforced through a proxy container.
Multi-agent orchestrationNoYes
Headless / CI modeYesYes`pool exec --prompt ... --output json` with POOLSIDE_API_KEY, plus a documented GitHub Actions integration.
Models
BackboneOpenAI, Anthropic, Gemini, DeepSeek, OpenRouter, Bedrock, Vertex AI, Azure, Groq, xAI, Ollama, LM StudioLaguna S 2.1, Laguna XS 2.1, Laguna M.1
Bring your own modelYesYes
Local modelsYesYesDocumented local-run guides for Ollama and vLLM on Metal, plus full on-premises and air-gapped deployment.
Cost
Pricing modelbyokmixed
Starts at$0/mon/a
Free tierYesYes
Bring your own keyYesYes
Openness
Open sourceYesNo
LicenseApache-2.0proprietary
GitHub stars49,324n/a

Which one would each critic pick

CriticAiderPoolsidePick
El Juez——not enough reviews
El Amigo7.56.8Aider — Pick Aider if you want to see every diff and steer every step; pick Claude Code if you want the agent to find the files and run on its own.
El Crítico7.36.5Aider — Every edit is a real edit on your disk with no sandbox, and auto-commit is the one mitigation standing between a bad command and your afternoon.
El Profesor8.36.5Aider — The most legible architecture on the board, with a published harness; the SWE-bench numbers are from 2024 and should be read as history, not as a claim.
La Inversora5.37.0Poolside — Training your own models and selling deployments into other people's data centres is a capital-intensive bet on the one segment that cannot buy from a lab directly.
La Jefa5.57.0Poolside — It runs inside our own network, including air-gapped, on the Kubernetes platforms we already operate, and the enterprise price is a sales conversation.
El Hacker9.07.5Aider — Python I can read, prompts in the repo, .aider.conf.yml for model and edit format, --model ollama/anything for an air-gapped box; MCP is the one gap.

Picks are derived from each critic's own scores. Humans vote on matchups on the duels page.

Want a third column? The compare tool handles any two agents. Three-way comparisons are on the roadmap once the spec rows are all verified.