Ironwood AI vs Octopus

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.

Octopus indexes a codebase and uses that context to review pull requests automatically. When a pull request opens, it retrieves related indexed code through vector search and sends the changes and context to a configured language model. Findings receive severity ratings and appear as inline comments. The GitHub integration also reviews updates, posts check runs, and can create issues from findings. Octopus supports GitHub, GitLab, Bitbucket, and Forgejo, and includes source-cited codebase chat plus a CLI for reviews, context queries, and repository checks. Teams can use knowledge-base documents to guide reviews, with rules, repositories, and reviewer settings shared across an organization. AI options include providers such as Anthropic Claude, OpenAI, Google, xAI Grok, Alibaba Qwen, Cohere, and OpenRouter. It can be self-hosted with Docker Compose, PostgreSQL, and Qdrant, with optional local models and embeddings through Ollama. The cloud service stores review and indexing data; findings persist through the PR lifetime and 90 days after closure, while indexed embeddings remain as long as a repository is connected. Free self-hosted and cloud tiers are listed. Live team telemetry requires a paid organization.