# Kodus ## Docs - [PR review for compliance (SOC2, HIPAA)](https://docs.kodus.io/cookbook/en/compliance-review-pipeline.md): Configure Kody Rules and Memories to enforce audit trail, data handling, and access control requirements. - [Install custom MCP plugins](https://docs.kodus.io/cookbook/en/custom-plugin-install.md): Step-by-step instructions for connecting any custom Model Context Protocol plugin to Kodus. - [Turn your best practices doc into review guardrails](https://docs.kodus.io/cookbook/en/guide-handbook-guardrails.md): Convert your engineering handbook into living Kody Rules with optional MCP plugins. - [Kodus for monorepos](https://docs.kodus.io/cookbook/en/kodus-for-monorepos.md): Configure directory-level rules, path-specific overrides, and rule inheritance to get precise code reviews in a monorepo. - [Kodus + sprint workflow](https://docs.kodus.io/cookbook/en/kodus-sprint-workflow.md): Integrate business logic validation into your sprint cycle so every PR is validated against task requirements before merge. - [Security-first review pipeline](https://docs.kodus.io/cookbook/en/security-first-review-pipeline.md): Set up Kody Rules focused on OWASP top 10, secrets detection, and secure coding patterns. - [Onboarding a new team](https://docs.kodus.io/cookbook/en/team-onboarding.md): Step-by-step guide to set up Kodus for a new team — from connecting repos to teaching your first conventions. - [Installation](https://docs.kodus.io/how_to_deploy/en/deploy_kodus/generic_vm.md): Deploy Kodus on a Generic Virtual Machine. - [MCP Manager](https://docs.kodus.io/how_to_deploy/en/deploy_kodus/mcp_manager.md): Deploy MCP Manager for Kodus. - [Reverse Proxy](https://docs.kodus.io/how_to_deploy/en/deploy_kodus/reverse_proxy.md): Configure a reverse proxy for Kodus. - [Troubleshooting Guide](https://docs.kodus.io/how_to_deploy/en/deploy_kodus/troubleshooting.md): Solve common issues with Kodus. - [Updating](https://docs.kodus.io/how_to_deploy/en/deploy_kodus/updating.md): Update your Kodus installation. - [Kodus Architecture](https://docs.kodus.io/how_to_deploy/en/kodus_architecture.md): A deep dive into Kodus's technical infrastructure. - [Local Quickstart](https://docs.kodus.io/how_to_deploy/en/local_quickstart/orchestrator.md): Get Kodus running on your local machine — API, Worker, Webhooks, Web UI, and all dependencies in one command. - [Creating a Webhook](https://docs.kodus.io/how_to_deploy/en/platforms/azure_devops/azdevops_webhook.md) - [Creating a Webhook](https://docs.kodus.io/how_to_deploy/en/platforms/bitbucket/bitbucket_webhook.md) - [Creating a GitHub App](https://docs.kodus.io/how_to_deploy/en/platforms/github/github_app.md) - [GitHub OAuth App (Sign in with GitHub)](https://docs.kodus.io/how_to_deploy/en/platforms/github/github_oauth.md) - [Creating a Webhook](https://docs.kodus.io/how_to_deploy/en/platforms/github/github_webhook.md) - [GitLab OAuth App (Sign in with GitLab)](https://docs.kodus.io/how_to_deploy/en/platforms/gitlab/gitlab_oauth.md) - [Creating a Webhook](https://docs.kodus.io/how_to_deploy/en/platforms/gitlab/gitlab_webhook.md) - [Auto License Assignment](https://docs.kodus.io/how_to_use/en/auto_license_assignment.md) - [BYOK - Bring Your Own Key](https://docs.kodus.io/how_to_use/en/byok.md): Configure your own API keys for maximum flexibility and cost control. Available on every Kodus plan. - [AI Agents](https://docs.kodus.io/how_to_use/en/cli/ai_agents.md): Integrate the Kodus CLI with AI coding agents for autonomous review-fix loops. - [Command Reference](https://docs.kodus.io/how_to_use/en/cli/commands.md): Complete reference for all Kodus CLI commands, flags, and options. - [Concepts](https://docs.kodus.io/how_to_use/en/cli/concepts.md): Mental models to get the most out of the Kodus CLI. - [Decision Memory](https://docs.kodus.io/how_to_use/en/cli/decision_memory.md): Capture and persist AI agent decisions as structured files in your repository. - [Getting Started](https://docs.kodus.io/how_to_use/en/cli/getting_started.md): Install the Kodus CLI, authenticate, and run your first review. - [Kodus CLI](https://docs.kodus.io/how_to_use/en/cli/introduction.md): AI-powered code review, business validation, and agent workflows — from your terminal. - [Self-Hosted Setup](https://docs.kodus.io/how_to_use/en/cli/self_hosted.md): Connect the Kodus CLI to your self-hosted Kodus instance. - [Troubleshooting](https://docs.kodus.io/how_to_use/en/cli/troubleshooting.md): Common Kodus CLI errors, exit codes, and how to debug them. - [Bug Ratio](https://docs.kodus.io/how_to_use/en/cockpit/metrics/change_failure_rate.md): Measure the percentage of PRs that are bug fixes (also known as Change Failure Rate) - [Deploy Frequency](https://docs.kodus.io/how_to_use/en/cockpit/metrics/deploy_frequency.md): Measure how often your team deploys code to production - [Developer Activity](https://docs.kodus.io/how_to_use/en/cockpit/metrics/developer_activity.md): Track developer productivity and activity patterns over time - [Kody Suggestions](https://docs.kodus.io/how_to_use/en/cockpit/metrics/kody_suggestions.md): Measure the effectiveness of AI-powered code suggestions - [Lead Time Breakdown](https://docs.kodus.io/how_to_use/en/cockpit/metrics/lead_time_breakdown.md): Break down your development cycle into coding, pickup, and review phases - [PR Cycle Time](https://docs.kodus.io/how_to_use/en/cockpit/metrics/lead_time_for_changes.md): Measure the time from first commit to production deployment - [PR Size](https://docs.kodus.io/how_to_use/en/cockpit/metrics/pr_size.md): Measure the average size of your Pull Requests - [PRs by Developer](https://docs.kodus.io/how_to_use/en/cockpit/metrics/prs_by_developer.md): Track completed Pull Requests per developer grouped by week - [Overview](https://docs.kodus.io/how_to_use/en/cockpit/overview.md): Comprehensive analytics and metrics for engineering team performance - [Business Logic Validation](https://docs.kodus.io/how_to_use/en/code_review/business_logic_validation.md): Compare your pull request against business rules or specs with @kody -v business-logic. - [Centralized Config](https://docs.kodus.io/how_to_use/en/code_review/configs/centralized_config.md): Manage all code review configuration and Kody Rules as code in a single repository. Changes sync automatically after each merge; rollout is controlled from the UI or the CLI. - [Custom Messages](https://docs.kodus.io/how_to_use/en/code_review/configs/custom_messages.md): Configure personalized start and end review messages for Kody - [Custom Prompts](https://docs.kodus.io/how_to_use/en/code_review/configs/custom_prompts.md): Customize Kody's review prompts for each category and severity level to match your team's needs - [Directory-Level Settings](https://docs.kodus.io/how_to_use/en/code_review/configs/directory_level.md): Target specific folders in your repo with custom code review settings. Ideal for monorepos. - [General](https://docs.kodus.io/how_to_use/en/code_review/configs/general.md) - [Config Inheritance & Overrides](https://docs.kodus.io/how_to_use/en/code_review/configs/inheritance_overrides.md): How Global → Repository → Directory settings inherit, override, and propagate. - [Overview](https://docs.kodus.io/how_to_use/en/code_review/configs/kody_rules.md): Kody Rules are customizable guidelines your team sets up to automatically enforce code quality, consistency, security, and maintainability. - [PR Summarization](https://docs.kodus.io/how_to_use/en/code_review/configs/pr_summary.md) - [Repository Rules](https://docs.kodus.io/how_to_use/en/code_review/configs/repository_rules.md): Create custom Kody Rules directly in your repository using markdown files with structured templates. - [Rules File Detection](https://docs.kodus.io/how_to_use/en/code_review/configs/rules_file_detection.md): Automatically detect and import your existing rule files from popular AI coding tools to enhance Kody's code review capabilities with your team's established coding standards. - [Rule Inheritance](https://docs.kodus.io/how_to_use/en/code_review/configs/rules_inheritance.md): How Global → Repository → Directory rules are inherited, and how to stop or exclude inheritance at specific levels. - [Suggestion Control](https://docs.kodus.io/how_to_use/en/code_review/configs/suggestion_control.md): Control how Kody provides feedback in your PRs. - [Code Review Flow](https://docs.kodus.io/how_to_use/en/code_review/flow.md) - [Azure DevOps PAT Token](https://docs.kodus.io/how_to_use/en/code_review/general_config/azure_devops_pat.md) - [Bitbucket API Token](https://docs.kodus.io/how_to_use/en/code_review/general_config/bitbucket_pat.md) - [Github FGPAT Token](https://docs.kodus.io/how_to_use/en/code_review/general_config/github_pat.md) - [GitLab PAT Token](https://docs.kodus.io/how_to_use/en/code_review/general_config/gitlab_pat.md) - [Reinforcement Learning](https://docs.kodus.io/how_to_use/en/code_review/learning/kody_learning.md): Kody gets smarter with every interaction. By learning from your team's feedback, she continuously adapts her code suggestions to match your team's preferences and standards. - [Automatic Rules Generation](https://docs.kodus.io/how_to_use/en/code_review/learning/kody_rules_generation.md): Kody can automatically generate custom rules by analyzing your team's code review history. Let her learn from your past reviews to create personalized coding standards. - [Plugins](https://docs.kodus.io/how_to_use/en/code_review/plugins.md): Plugins are a way to bring external business context directly into Kody's review workflow. - [Review Policy](https://docs.kodus.io/how_to_use/en/code_review/policy.md) - [Troubleshooting](https://docs.kodus.io/how_to_use/en/code_review/troubleshooting.md): Troubleshooting Kody Code Review - [Overview](https://docs.kodus.io/how_to_use/en/issues/overview.md): Track and manage unimplemented suggestions with the Kody Issues feature. - [Introduction](https://docs.kodus.io/how_to_use/en/overview.md) - [Pricing Deep Dive](https://docs.kodus.io/how_to_use/en/pricing.md) - [Getting Started](https://docs.kodus.io/how_to_use/en/quickstart.md) - [AI Model Security](https://docs.kodus.io/how_to_use/en/security/data_usage.md) - [Single Sign-On](https://docs.kodus.io/how_to_use/en/security/sso.md): Enable Single Sign-On (SSO) for secure and efficient access to Kodus. - [Workspace Roles](https://docs.kodus.io/how_to_use/en/workspace_roles.md): Learn about role-based access control (RBAC) in Kodus workspaces, including the different user roles and their permissions. - [Can I use my own LLM provider for code review](https://docs.kodus.io/knowledge_base/en/can-i-use-my-own-llm-provider.md): Bring your own API key and choose your preferred LLM provider for AI-powered code review with Kodus. - [What is the difference between Review Rules and Memories](https://docs.kodus.io/knowledge_base/en/difference-between-review-rules-and-memories.md): Understand when to use Review Rules vs Memories in Kody for the best code review results. - [How to automate code review on GitHub, GitLab, and Bitbucket](https://docs.kodus.io/knowledge_base/en/how-to-automate-code-review.md): Set up AI-powered code review that runs automatically on every pull request across GitHub, GitLab, Bitbucket, and Azure DevOps. - [How to check code against Google Docs specs](https://docs.kodus.io/knowledge_base/en/how-to-check-code-against-google-docs.md): Validate your pull request implementation against specifications written in Google Docs. - [How to connect Jira to your code review tool](https://docs.kodus.io/knowledge_base/en/how-to-connect-jira-to-code-review.md): Link Jira to Kodus so your AI code reviews automatically validate PRs against task requirements and acceptance criteria. - [How to connect Linear to your code review tool](https://docs.kodus.io/knowledge_base/en/how-to-connect-linear-to-code-review.md): Link Linear to Kodus so your AI code reviews automatically validate PRs against issue requirements. - [How to create custom code review rules](https://docs.kodus.io/knowledge_base/en/how-to-create-custom-code-review-rules.md): Define rules tailored to your team's architecture, patterns, and coding preferences that are enforced automatically on every PR. - [How to enforce coding standards in pull requests](https://docs.kodus.io/knowledge_base/en/how-to-enforce-coding-standards-in-pull-requests.md): Learn how to automatically enforce your team's coding conventions, architecture rules, and best practices on every pull request. - [How to fix webhook issues with GitHub or GitLab](https://docs.kodus.io/knowledge_base/en/how-to-fix-webhook-issues.md): Debug and resolve webhook connectivity problems between your Git provider and Kodus. - [How to generate code review rules automatically](https://docs.kodus.io/knowledge_base/en/how-to-generate-rules-automatically.md): Let AI analyze your code review history and suggest custom rules based on your team's actual patterns and standards. - [How to import rules from Cursor, Copilot, or Claude](https://docs.kodus.io/knowledge_base/en/how-to-import-rules-from-ide-tools.md): Sync your existing AI coding tool rules into Kodus so the same standards apply in your IDE and in code review. - [How to reduce code review noise and false positives](https://docs.kodus.io/knowledge_base/en/how-to-reduce-code-review-noise.md): Fine-tune your AI code review to surface only the most relevant suggestions and avoid alert fatigue. - [How to review PRs with project-specific context](https://docs.kodus.io/knowledge_base/en/how-to-review-prs-with-project-context.md): Give Kody access to your project docs, handbooks, and architecture guides for more relevant code reviews. - [How to self-host an AI code review tool](https://docs.kodus.io/knowledge_base/en/how-to-self-host-ai-code-review.md): Deploy Kodus on your own infrastructure with full control over data, models, and configuration. - [How to set up AI code review on Azure DevOps](https://docs.kodus.io/knowledge_base/en/how-to-set-up-ai-code-review-on-azure-devops.md): Install and configure Kodus for Azure DevOps repositories to get automated AI code review on every pull request. - [How to set up AI code review on GitHub](https://docs.kodus.io/knowledge_base/en/how-to-set-up-ai-code-review-on-github.md): Install and configure Kodus for GitHub repositories to get automated AI code review on every pull request. - [How to set up AI code review on GitLab](https://docs.kodus.io/knowledge_base/en/how-to-set-up-ai-code-review-on-gitlab.md): Install and configure Kodus for GitLab projects to get automated AI code review on every merge request. - [How to share coding standards across repositories](https://docs.kodus.io/knowledge_base/en/how-to-share-standards-across-repositories.md): Use rule inheritance and organization-level rules to maintain consistent coding standards across all your repositories. - [How to teach AI your team's coding conventions](https://docs.kodus.io/knowledge_base/en/how-to-teach-ai-your-team-conventions.md): Use Memories to make Kody learn your coding preferences, architectural decisions, and team conventions through natural conversation. - [Chutes — Subscription-Capped Inference for Open-Source Models](https://docs.kodus.io/knowledge_base/en/how-to-use-chutes-with-kodus.md): Learn how to connect Chutes AI's subscription plans — covering DeepSeek, Llama, Qwen, MiniMax and more — to Kodus. - [Fireworks AI - Fast Inference Platform](https://docs.kodus.io/knowledge_base/en/how-to-use-fireworks-with-kodus.md): Learn how to use Fireworks AI's models with Kodus - [Groq Cloud - Ultra-Fast Inference](https://docs.kodus.io/knowledge_base/en/how-to-use-groq-with-kodus.md): Learn how to use Groq's models with Kodus - [Moonshot (Kimi) - OpenAI-Compatible Inference](https://docs.kodus.io/knowledge_base/en/how-to-use-moonshot-with-kodus.md): Learn how to connect Moonshot AI's Kimi K2.6 models to Kodus — via the Moonshot Developer API or the Kimi Code Plan. - [Novita AI - Serverless GPU Platform](https://docs.kodus.io/knowledge_base/en/how-to-use-novita-with-kodus.md): Learn how to use Novita's models with Kodus - [Synthetic — Flat-Rate Subscription for Open-Source Coding Models](https://docs.kodus.io/knowledge_base/en/how-to-use-synthetic-with-kodus.md): Learn how to connect Synthetic.new's subscription-based API — bundling Kimi, DeepSeek, Qwen Coder, GLM and more — to Kodus. - [Together AI - Open Source Models](https://docs.kodus.io/knowledge_base/en/how-to-use-together-ai-with-kodus.md): Learn how to use Together AI's models with Kodus - [Z.AI (GLM Coding Plan) - Subscription-Based Inference](https://docs.kodus.io/knowledge_base/en/how-to-use-z-ai-with-kodus.md): Learn how to connect Z.AI's GLM models — including the GLM Coding Plan subscription — to Kodus. - [How to validate business rules before merging](https://docs.kodus.io/knowledge_base/en/how-to-validate-business-rules-before-merging.md): Catch missing requirements, forgotten edge cases, and logic gaps in your pull request before code reaches production. - [How to validate if a PR implements a Jira ticket](https://docs.kodus.io/knowledge_base/en/how-to-validate-pr-against-jira-ticket.md): Use Kodus to compare your pull request against Jira acceptance criteria and catch missing requirements before merging. - [How to validate Linear issues against pull requests](https://docs.kodus.io/knowledge_base/en/how-to-validate-pr-against-linear-issue.md): Ensure your pull request implements what the Linear issue describes by using AI-powered business logic validation. - [Knowledge Base](https://docs.kodus.io/knowledge_base/en/introduction.md): Answers to common questions about AI code review, coding standards enforcement, business logic validation, and more. - [Why are my code reviews paused](https://docs.kodus.io/knowledge_base/en/why-are-code-reviews-paused.md): Understand Kodus auto-pause behavior and how to resume automated code reviews. - [Why is my AI code review not triggering](https://docs.kodus.io/knowledge_base/en/why-is-ai-code-review-not-triggering.md): Common reasons and fixes when Kodus doesn't automatically review your pull requests. ## OpenAPI Specs - [openapi](https://docs.kodus.io/api-reference/openapi.json)