Vscode Extension vs Poolside AI
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Vscode Extension | Poolside AI |
|---|---|---|
| Pricing | Free IDE; you pay your LLM provider | Contact sales — no published tier |
| Deployment | Your desktop editor; keys stay with you | On-prem / air-gapped / multi-cloud inside the perimeter |
| Model choice | Bring your own — Gemini, GitHub Models, Ollama, LMStudio, OpenAI-compatible | Laguna XS 2.1 (33B/3B active, 256K) and Laguna S 2.1 (118B/8B active, 1M) |
| Governance | None — no admin console, managed billing, or SLAs | RBAC for humans and agents, audit trails, end-to-end trace observability |
| Interface | Forked Code - OSS editor with completions, panel/inline/quick/voice/terminal chat | Desktop app + CLI for agentic sessions |
| Buying motion | Download and paste an API key | Procurement, enterprise budget, no self-serve signup |

Open-source, privacy-first AI-native IDE forked from VS Code that runs on your own LLM API keys.
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Open-weight agentic coding models — Laguna XS 2.1 and Laguna S 2.1 — built for secure on-prem and air-gapped enterprise AI.
Visit WebsiteWhat real users say: Vscode Extension vs Poolside AI
Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.
Vscode Extension
93 mentions across 5 sources · 50% positive — mixed (weighted across 5 sources)
Hacker News, YouTube, Stack Overflow, GitHub, Lemmy
What users praise
- • Bring-your-own-key with Ollama, LMStudio, Gemini, Groq, and any OpenAI-compatible endpoint
- • Free IDE with no subscription, no per-seat fee, no model vendor lock-in
- • Installs existing GitHub Copilot extensions from the VS Code Marketplace
- • Covers completions, panel chat, inline chat, quick chat, voice, and terminal chat
What frustrates them
- • Crashes on startup on NixOS due to immutable filesystem assumptions, unresolved since Jan 2025
- • Restart loop bug spammed one user with 50+ popups, still open since Nov 2024
- • WSL2 install issues required a fix — install isn't always plug-and-play
- • Inline chat broke with codestral-latest while working on Gemini — model-dependent quirks
Researched Sep 29, 2026
Poolside AI
40 mentions across 4 sources · 48% positive — mixed (averaged across 4 sources)
Hacker News, YouTube, Bluesky, Lemmy
What users praise
- • Open-weight models with strong SWE-bench scores (72.5%).
- • On-prem, VPC, and air-gapped deployment for high security.
- • 256K context length supports long-horizon reasoning tasks.
- • Multi-agent orchestration with sandboxed execution environments.
What frustrates them
- • Community feedback is scarce; limited real-world user reviews.
- • Platform is still in research preview as of April 2026.
- • Pricing is opaque; only 'contact us' with no published tiers.
- • Trademark dispute with Poolside FM creates name confusion.
Researched Jul 17, 2026
Feature-by-feature
The feature lists barely intersect. Poolside ships models and a platform: Laguna XS 2.1 (33B params, 3B active, 256K context, built to run on-device) and Laguna S 2.1 (118B, 8B active, 1M context, aimed at long-horizon reasoning), plus single- and multi-agent orchestration with planning and tool use, sandboxed execution environments, data connectors to repositories, databases, and warehouses, and model selection, tool grouping, and project management in a desktop app and CLI. Its surfaces are OpenRouter and Vercel AI Gateway; its governance layer covers RBAC for both human users and agents, end-to-end trace observability, and auditability.
The VS Code Extension is an editor experience: context-aware completions, multi-file real-time edits, panel and inline chat, quick chat on a keyboard shortcut, voice chat, terminal chat, Smart Variables for referencing code elements in prompts, AI symbol renaming, automatic commit messages and PR descriptions, token-usage monitoring, and bring-your-own-model configuration. Integrations are Gemini, GitHub Models, Ollama, LMStudio, GitHub Copilot Extensions, and the VS Code Marketplace.
Capability depth differs by intent: Poolside's hard problems are orchestration, sandboxing, and proving what an agent did; the extension's hard problems are latency, in-editor ergonomics, and provider flexibility. One builds a governed agent runtime; the other wires your chosen model into a code editor.
Pricing compared
Poolside's pricing_type is contact: there is no published per-seat tier, so no self-serve trial and no instant sign-up. Budget approval requires a sales conversation, which is exactly the friction its 'not_for' list acknowledges. Whatever the contract lands at, the cost includes the models themselves — open weights you can inspect, fine-tune, and host, so infrastructure spend replaces per-token billing. The 2026-08-22 Bloomberg report of a $6B Nvidia licensing payment is a signal about Poolside's backing and commercial direction, not a price you can plan against; treat any number here as enterprise-negotiated. Factor in GPU capacity if you self-host Laguna S 2.1's 118B parameters, and far less for the 3B-active XS 2.1 on-device.
The VS Code Extension is free — the IDE costs nothing, and your only cost is what your model provider charges on your own API key. Teams using free provider tiers can push AI tooling costs near zero, which is precisely the persona Flexpilot targets. The trade is unbundled: no managed billing, no admin console, no support SLA, and you own quota management and key rotation. So the two pricing models answer different questions. Poolside: 'what does a governed, self-hosted agent platform cost us?' The extension: 'how little can we spend while keeping control of the keys?'
Who should pick which
- Regulated enterprise engineering team (finance, healthcare, defense)Pick: Poolside AI
Code cannot leave the perimeter, and RBAC, audit trails, and end-to-end trace observability are prerequisites before agents touch production code.
- Air-gapped or multi-cloud infrastructure ownerPick: Poolside AI
Open weights plus on-prem deployment let you run Laguna XS 2.1 or S 2.1 inside your own boundary instead of a hosted SaaS assistant.
- Solo developer or small team on a near-zero AI budgetPick: Vscode Extension
The editor is free and free provider tiers via Gemini or GitHub Models keep spend minimal.
- Model-tinkering developer who wants to switch providersPick: Vscode Extension
BYOM configuration plus Ollama and LMStudio integrations let you compare LLMs without changing tools.
- Team doing long-horizon multi-step refactors with governance needsPick: Poolside AI
Laguna S 2.1's 1M context and sandboxed agent execution fit large refactors that must remain auditable.
Frequently Asked Questions
Can I try Poolside before talking to sales?
No. Pricing is contact-only with no published tier or self-serve sign-up, so budget approval starts with a procurement conversation.
Does the VS Code Extension include any AI model credits?
No. You supply your own API key and pay the provider directly; the editor itself is free.
Is GitHub Copilot compatibility preserved in Flexpilot?
Yes — it lists GitHub Copilot Extensions and the VS Code Marketplace among its integrations, so existing Copilot flows can coexist.
Which Poolside model should I self-host?
Laguna XS 2.1 (3B active, 256K context) is designed for on-device lightweight scenarios; Laguna S 2.1 (8B active, 1M context) is for frontier-class long-horizon reasoning at higher infrastructure cost.
What licensing do I need to check for the extension?
It's open source with mixed GPLv3/MIT licensing, which its own not-for list flags as a concern for some teams.
Does the Nvidia deal change what Poolside sells?
The reported $6B license payment is a commercial development, not a published product or price change. Nothing in the current data alters the contact-only pricing or the model lineup.
Who should avoid both?
Anyone wanting a turnkey paid assistant with zero setup: Poolside requires enterprise procurement, and the extension requires you to manage your own keys and quotas.
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Last reviewed: September 21, 2026