Aide by CodeStory vs Poolside

Detailed side-by-side comparison to help you choose the right tool

Aide by CodeStory

🔴Developer

AI Coding Assistants

Open-source AI-native IDE forked from VS Code that pairs a local agent (Sidecar) with cloud models to do proactive, multi-step coding.

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Starting Price

Custom

🔴Developer

AI Coding Assistants

Foundation-model company building enterprise-grade AI software engineers trained on private code with on-prem deployment.

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Starting Price

Custom

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Feature	Aide by CodeStory	Poolside
Category	AI Coding Assistants	AI Coding Assistants
Pricing Plans	6 tiers	83 tiers
Starting Price
Key Features		• Software-engineering focused foundation-model company rather than a lightweight autocomplete plug-in • Enterprise positioning for private, secure, and regulated development workflows • Targets teams that need coding assistance with stronger control over data, deployment, and governance

✓Provides aI-native VS Code fork with an autonomous agent runtime (Sidecar), a concrete advantage for teams that need this workflow
✓Provides repository-wide planning and multi-file edits, a concrete advantage for teams that need this workflow
✓Provides local codebase indexing for privacy-friendlier context, a concrete advantage for teams that need this workflow
✓Provides model-agnostic: Claude, GPT, Gemini, OpenRouter, a concrete advantage for teams that need this workflow

✗Current vendor pricing and plan limits could not be independently verified because the site returned no usable HTML
✗Adoption requires a realistic pilot because behavior may differ by plan, deployment, or connected service
✗Automated output still needs human review, narrow permissions, and a tested recovery path
✗Total cost may include implementation, training, model usage, hosting, and support beyond the license price

✓Best-in-class data residency story — model can run fully inside your VPC or air-gapped environment
✓Custom training on private code produces depth no public copilot can match
✓Founding team (ex-GitHub) has credibility with enterprise procurement and security teams
✓Includes evals and observability so you can prove ROI to a CIO, not just guess

✗Enterprise-only — no self-serve tier and no way to try it without a long sales cycle
✗You take on a heavy GPU footprint and the operational burden of running foundation models in-house
✗Product surface and exact naming are still shifting — flagged for manual verification
✗For most companies, GitHub Copilot Enterprise or Cursor delivers 90% of the value at a fraction of the cost

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