DeepSource vs Ironwood AI
DeepSource
deepsource.comIronwood AI
ironwoodsolutions.aiSide by side
| Figure | DeepSource | Ironwood AI |
|---|---|---|
| Price from | $2/mo | $15/mo |
| Free plan | Yes | Yes |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | — |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 9 | 4 |
| Spec score · AI Code Review Tools | 9.3 (#3) | 8.3 (#13) |
| Support | The Team plan includes priority support, while Enterprise includes priority support with an SLA. | Ironwood can generate a sanitised support bundle for review before sharing; its support workflow is designed not to automatically upload source code or provider credentials. |
| What it does | DeepSource analyzes commits for code-health problems, security vulnerabilities and supply-chain risks, then helps remediate them. | Ironwood reviews code using selected AI providers and engineering context, with findings and evidence for engineers to inspect. |
Plans
DeepSource
- IndividualFree
- Open SourceFree
- Open SourceFree
- AI Review Standard$8, paid once
- SCA add-on$8 a month
- AI Review Advanced$15, paid once
- Team$24 a year
- Team$30 a month
- EnterprisePriced on request
Ironwood AI
- EvaluationFree
- Professional$15 a month
- Team$200 a month
- EnterprisePriced on request
In their own words
DeepSource
DeepSource is an AI code review platform for teams writing code with AI. It reviews pull requests through static analysis and an AI review agent, looking for bugs, anti-patterns, and security vulnerabilities. The review process uses more than 5,000 deterministic rules, while Autofix can provide verified, pre-generated patches for many detected issues. Other checks include secrets detection, open-source dependency vulnerability scanning, and infrastructure-as-code review for Terraform and CloudFormation. Teams can track code coverage and set thresholds for tested code. Supported version-control systems include GitHub, GitLab, Bitbucket, and Azure DevOps; listed integrations also include Jira, Okta, OneLogin, Slack, and Vanta. The service is available through web, API, Linux, macOS, Windows, and self-hosted deployment. Its GraphQL API has a documented limit of 5,000 requests per hour per user. The Open Source tier costs nothing and includes unlimited public repositories and members, plus monthly limits for reviews and formatting runs. Team costs $24 a year, billed yearly, with a stated rate of $24 per user per month. A 14-day trial is available. Enterprise uses custom pricing and offers cloud or self-hosted deployment, among other listed features.
Ironwood AI
Ironwood AI reviews code using AI providers selected by the team, along with engineering context such as coding standards, architecture documents, requirements, and technical guidance. Engineers can inspect findings and supporting evidence before deciding what to do. Teams can review multiple repositories in a batch, including cross-repository analysis when service boundaries matter. Listed AI providers include OpenAI, Anthropic Claude, Google Gemini, and Ollama; source-control integrations include GitHub, Azure DevOps, and Bitbucket. Jira, Azure Boards, and Confluence are listed for delivery workflows. Ironwood runs on infrastructure controlled by the customer, with local Admin, Reviewer, and Viewer roles; customers manage source-control and AI-provider credentials. Hosted AI providers receive review prompts and selected code or context, while Ollama can keep the AI request inside customer infrastructure. Ironwood says it does not need to receive or store source code, prompts, or findings to run a review. Professional includes PDF reports, role-based access control, platform health, and diagnostics. Evaluation is free for 30 days for two developers and one installation. Professional costs $15 a month; Team is $200 a month for up to 20 developers. AI-provider usage is billed separately.