Cubent vs Poolside AI
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Cubent | Poolside AI |
|---|---|---|
| Pricing | Free (BYOK); Pro and Team tiers 'Coming Soon' | Contact sales (enterprise) |
| Target User | Solo developers and small teams | Large enterprises in finance, healthcare, defense |
| Deployment | Local-first (VS Code extension, code never leaves machine) | On-prem, VPC, or air-gapped (defense only) |
| Model Control | Bring your own key; 23+ models from 6 providers | Custom open-weight models (Laguna XS.2, M.1) with fine-tuning |
| Context Length | Not specified (depends on underlying model) | Up to 256K tokens |
| Autonomy Level | Agent Mode for autonomous tasks (tests, refactors, PRs); Chat & Autocomplete modes | Multi-agent orchestration with planning, sandboxed execution, governance |
For large enterprises in regulated industries needing custom on‑prem AI with governance, Poolside AI is the obvious choice. For individual developers or small teams wanting a privacy‑first, multi‑model assistant with low cost and quick setup, Cubent is the better fit. Both are strong in their lanes but serve completely different markets.
Agentic AI coding assistant for VS Code with BYOK multi-model access and local-first privacy.
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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: Cubent 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.
Cubent
2 mentions across 1 sources · 50% positive — mixed (averaged across 1 source)
Hacker News
What users praise
- • Local-first architecture ensures code never leaves your machine.
- • Agent mode handles autonomous refactoring, test writing, and PRs.
- • Supports over 23 AI models from major providers including GPT-5.
- • Project-wide context awareness understands dependencies and configs.
What frustrates them
- • Virtually no user reviews or community validation exist online.
- • Agentic features are unproven with no reliability data available.
- • Early access may mean frequent bugs and incomplete features.
- • Multi-model support could lead to inconsistent suggestion quality.
Researched Jul 3, 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
Who should pick which
- Enterprise in regulated industry (e.g., finance, defense)Pick: Poolside AI
Poolside’s on‑prem deployment, auditability, and custom models meet strict compliance and security requirements. Its multi‑agent orchestration handles complex long‑horizon planning.
- Solo full‑stack developerPick: Cubent
Cubent’s free BYOK model, multi‑language support, and local‑first design give a developer full control over costs and privacy, with agentic capabilities for refactoring and PRs.
- Security‑conscious teamPick: Cubent
Cubent’s local‑first architecture ensures code never leaves the machine, and no training occurs on user code. It supports multiple model providers via BYOK, enhancing control.
- Large team needing custom AI modelsPick: Poolside AI
Poolside provides custom foundation models deployed in VPC or on‑prem, with executive‑grade governance and dedicated research engineers for deep integration.
- Developer wanting multi‑model flexibilityPick: Cubent
Cubent supports 23+ models from six providers (including latest GPT‑5 and Claude 4.5), letting users switch based on task needs and control costs via BYOK.
Frequently Asked Questions
Cubent vs Poolside AI: which should you choose?
For large enterprises in regulated industries needing custom on‑prem AI with governance, Poolside AI is the obvious choice. For individual developers or small teams wanting a privacy‑first, multi‑model assistant with low cost and quick setup, Cubent is the better fit. Both are strong in their lanes but serve completely different markets.
Can I use Poolside AI without contacting sales?
No, Poolside requires a sales engagement for access. It is not self‑serve.
Is Cubent completely free?
Currently the extension is free if you bring your own API keys (BYOK). Pro and Team tiers are 'Coming Soon' and may add paid features.
Does Poolside offer on‑prem deployment?
Yes, Poolside can be deployed on‑premises, in a VPC, or air‑gapped (defense only).
Does Cubent train on my code?
No, Cubent is local‑first and does not train on user code. All processing stays on your machine.
Which models can I use with Cubent?
Cubent supports 23+ models from OpenAI, Anthropic, Google, Cohere, Mistral, and OpenRouter, including the latest GPT‑5 and Claude 4.5.
What is the context length of Poolside’s models?
Both Laguna XS.2 and M.1 support up to 256K tokens of context.
Can Cubent work with Docker and Kubernetes?
Yes, Cubent integrates with Docker and Kubernetes for deployment configs and debugging.
Which tool is better for a startup with limited budget?
Cubent is better due to its free BYOK model and lower cost of entry. Poolside is enterprise‑focused and expensive.
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Last reviewed: July 3, 2026