gitStream vs Octopus

gitStream uses YAML configuration files to automate pull request workflows and shape code review. It can add context to pull requests, route work to code experts or reviewers, and merge changes designated as safe, small fixes, or work from trusted teams. Contextual labels can estimate review time and flag Jira information, missing tests, or deleted files. LinearB's AI services can generate pull request descriptions and review code changes. Automations can also notify security teams about sensitive changes. Setup guides cover GitHub, GitHub Server, GitLab, and Bitbucket Cloud; the listed code hosts are GitHub, GitLab, and Bitbucket. gitStream is available on the web or self-hosted. The free account has a monthly cap on pull requests that can trigger automations; once reached, new pull requests do not run them and the check is marked Skipped. Paid pricing starts at $29 per user per month, billed annually. A 45-day Essentials trial requires no credit card but is currently limited to GitHub Cloud users. LinearB says the product uses Git metadata and immediately deletes shallow-cloned data after processing, without scanning, analyzing, or saving code.

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.