Kodus

Sponsor

Open-source AI code review built to run where the organization controls: self-hosted or cloud, models under your keys, org-wide Kody Rules.

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[ Facts ]

Category: AI PR Review
Open source: Yes (AGPL-3.0 (dual-licensed; enterprise-marked files commercial))
Pricing: Free Community cloud tier (BYOK, up to 10 Kody Rules); Teams $10/dev/mo + your token costs; Enterprise custom; self-hosting free under AGPL source
Self-hosted: Yes — full stack — Free under AGPL via Docker Compose, VM, or Kubernetes/Helm; no seat minimums; optional daily heartbeat can be disabled.
Platforms: github, gitlab, bitbucket, azure-devops, forgejo
Model control: BYOK on every plan: OpenAI, Anthropic, Gemini, Vertex, Novita, or any OpenAI-compatible endpoint (vLLM/Ollama); zero token markup
Last verified: 2026-08-11

[ Against the 9 Standards ]

Based on public documentation as of 2026-08-11. ✓ documented · ~ partial · ✗ not offered · ? unknown. Methodology on the about page.

✓ Multi-dimensional Context

Repo-level analysis plus linked sibling repos; pulls business context from Jira, Linear, and Notion.

✓ Rule-Centric & Default Quiet

Plain-language Kody Rules with global-repo-directory scope; auto-imports .cursorrules, CLAUDE.md, AGENTS.md, etc.

~ Dual-Workflow: Local vs. PR

Reviews run via CLI locally, in CI, and on PRs; distinct local-vs-PR behavior modes not detailed publicly.

✓ Business Logic Validation

Pulls context from Jira, Linear, and Notion to check a PR against what the ticket asked for.

✓ Continuous Learning

Kody generates rules automatically by analyzing team review history; rules and review history persist.

✗ Sandbox Validation

No documented sandbox execution or runtime validation of findings.

✓ Economic Transparency

BYOK on every plan, zero token markup, published cost estimates, token-usage dashboard.

~ Actionability

Provides fix suggestions in reviews; one-click commit flow not verified in the posts we checked.

~ Measurable ROI

Token-cost and usage dashboard documented; DORA-style ROI reporting not verified in public posts.

[ In Our Coverage ]

AI Code Review vs Static Analysis: 2026 Guide

AI code review vs static analysis compared: determinism vs reasoning, false positives, SAST coverage, cost, and why mature teams run both.

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The best AI code review tools 2026 offers, compared honestly: Kodus, CodeRabbit, Greptile, Copilot and more — context depth, pricing, self-hosting.

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Why teams leave CodeRabbit and 7 alternatives compared — Kodus, Greptile, Qodo, BugBot, Copilot, Graphite, Panto. Pricing verified August 2026.

CodeRabbit vs Greptile: Which to Pick in 2026

CodeRabbit vs Greptile head-to-head: context models, review quality, pricing, self-hosting, and when to pick each. Verified August 2026.

Cursor BugBot vs CodeRabbit: 2026 Comparison

Cursor BugBot vs CodeRabbit: review philosophy, pricing, platform support, and self-hosting compared — plus when neither fits. Verified August 2026.

How to Evaluate AI Code Review Tools (2026): A Playbook

A practical playbook for how to evaluate AI code review tools: a 9-standard scoring rubric, red flags, a 2-week trial protocol, and vendor questions.

Open Source AI Code Review: The Real Options (2026)

Open source AI code review tools compared: Kodus (AGPL), PR-Agent (MIT), and more — real licenses, BYOK costs, and how they stack up against closed SaaS.

Self-Hosted AI Code Review: Options & Trade-Offs (2026)

Self-hosted AI code review explained: full-stack vs BYOK vs on-prem runners, verified vendor options, and what deployment really costs in 2026.

What Is AI Code Review? How It Works (2026)

AI code review explained: how LLM reviewers work, what they catch and miss, how they differ from linters and static analysis, plus sourced adoption data.

Evaluating Kodus?

Run it through the two-week trial protocol before you commit.

Evaluation Guide [↗]