Codacy
Static analysis and quality gates for engineering teams.
Open-Source Projects
Discover top open-source software, updated regularly with real-world adoption signals.
Discover top open-source software, updated regularly with real-world adoption signals.
AI-powered code reviews that learn your team's standards
Kodus provides context‑aware, AI-driven pull‑request reviews, automatically learning your codebase and policies to catch bugs, enforce best practices, and improve quality across any language.
Kodus is an AI agent that acts as a tireless senior developer, delivering context‑aware code reviews directly in Git pull requests. By analyzing your repository’s history and custom review policies written in plain language, it offers actionable feedback on bugs, security, performance, and readability. All programming languages receive semantic analysis via a large language model, while a curated set (TypeScript, JavaScript, Python, Java, Go, Ruby, PHP, C#, Rust) also benefits from AST‑based structural checks for higher precision.
You can start instantly with the fully‑managed Cloud edition, which adds Kody learnings, productivity metrics, and unlimited review rules. For teams that need full control, the self‑hosted edition can be deployed via the provided CLI or Docker image, running on your own infrastructure while retaining the core review capabilities. Whether you run a monorepo with many languages or a focused codebase, Kodus adapts to your workflow and scales with your team.
When teams consider Kodus, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
Automated PR reviews for a multi‑language monorepo
Detects bugs and style issues across all services, reducing manual review time.
Enforcing security policies on new code
Flags insecure patterns and suggests mitigations before code is merged.
Onboarding new developers with consistent feedback
Provides actionable guidance aligned with team standards, accelerating ramp‑up.
Continuous compliance auditing in regulated codebases
Generates reports on policy adherence, supporting audit trails for Enterprise customers.
It analyzes historical pull requests and can be tuned with custom policies written in plain language.
TypeScript, JavaScript, Python, Java, Go, Ruby, PHP, C#, and Rust.
Yes, the self‑hosted edition can be deployed via the CLI or Docker image.
Cloud is fully managed and includes extra features like Kody learnings and metrics; self‑hosted gives you full control but only core review capabilities.
The open‑source edition supports up to 10 rules; Cloud Pro and Enterprise editions allow unlimited rules.
Project at a glance
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