Pulumi vs Continue.dev
Pulumi and Continue.dev are two popular AI coding tools that developers frequently compare. Both use a open-source pricing model, with Pulumi starting at Free and Continue.dev at Free. Both offer a free tier to get started. Below we break down features, pricing, strengths, and weaknesses to help you decide which tool fits your workflow best.
Last updated: March 2026
Quick Verdict
Choose Pulumi if you want infrastructure as code using real programming languages with ai assistance.. Pulumi's biggest strengths include use real programming languages instead of dsls and ai assistant generates infrastructure from descriptions. It's also rated higher (4.2 vs 3.9). Choose Continue.dev if you prefer the open-source ai code assistant for any llm and any ide.. Key advantages include complete flexibility in llm provider choice and fully open-source with active community.
Infrastructure as code using real programming languages with AI assistance.
The open-source AI code assistant for any LLM and any IDE.
| Pulumi | Continue.dev | |
|---|---|---|
| Pricing | Free | Free |
| Free Tier | Yes | Yes |
| Pricing Model | Open-source | Open-source |
| Rating | ★ 4.2 | ★ 3.9 |
| Categories | DevOps & Infrastructure | Code Generation, AI Code Editors |
| Key Features | 6 features | 6 features |
| Feature | Pulumi | Continue.dev |
|---|---|---|
| Infrastructure as code in Python, TypeScript, Go, and C# | ✓ | — |
| Pulumi AI for natural language to infrastructure code | ✓ | — |
| Multi-cloud support (AWS, Azure, GCP, Kubernetes) | ✓ | — |
| State management and drift detection | ✓ | — |
| Policy as code for compliance enforcement | ✓ | — |
| Reusable component libraries | ✓ | — |
| Tab autocomplete with any LLM provider | — | ✓ |
| In-editor chat with codebase context | — | ✓ |
| Support for local models via Ollama and LM Studio | — | ✓ |
| VS Code and JetBrains integration | — | ✓ |
| Customizable slash commands and context providers | — | ✓ |
| Fully open-source and self-hostable | — | ✓ |
Pulumi
Pros
- + Use real programming languages instead of DSLs
- + AI assistant generates infrastructure from descriptions
- + Strong multi-cloud and Kubernetes support
- + Open-source core with free community edition
Cons
- − Smaller community compared to Terraform
- − Requires programming knowledge (unlike simpler IaC tools)
- − State management can be complex for large deployments
Continue.dev
Pros
- + Complete flexibility in LLM provider choice
- + Fully open-source with active community
- + Works with local models for total privacy
- + Highly customizable through config files
Cons
- − Requires more setup than turnkey solutions like Copilot
- − Quality depends heavily on which LLM you connect
- − Less polished UX compared to commercial alternatives
The Bottom Line
Choose Pulumi if: you want infrastructure as code using real programming languages with ai assistance.. It's completely free to use. It holds a higher user rating (4.2 vs 3.9). Keep in mind: smaller community compared to terraform.
Choose Continue.dev if: you prefer the open-source ai code assistant for any llm and any ide.. It's completely free to use. Keep in mind: requires more setup than turnkey solutions like copilot.
Cursor
GitHub Copilot
Windsurf
Claude Code
TabNine
Bolt