Qodo

AI code review that enforces your standards across the SDLC

Qodo helps teams review code in the IDE and pull requests with deep codebase context. It focuses on catching issues earlier, enforcing rules, and making reviews more consistent across complex repos.

Agenticness = how independently a tool can take action, scored across 9 dimensions. Scored independently by David Kooi, Skylark Creations — see full rubric →

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Paid

Enterprise

Desktop

B2B

For Developers

IDE Extension

For Teams

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Recent activity

What's happened with Qodo lately

May 22, 2026
Score change
Rubric upgrade v3_0 → v3.1: score 8/32 → 9/368 → 9/36(+1)
Rubric upgrade: agenticness v3.0 (8 dims, /32) → v3.1 (9 dims, /36). Adds Dim 9 (Operator Sovereignty), splits Dim 6 into 6a/6b lenses, tightens Dim 4 autonomous-retry distinction. Not a product change — score shift reflects new dimension + recalibrated rubric, not a change in the tool. Fanout suppressed.
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News mentions sourced from our news feed; score changes from periodic re-evaluations.

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About

What It Is

Qodo is an AI code review and developer productivity tool for engineering teams. It is designed for code review, local IDE guidance, pull request checks, and policy enforcement rather than general-purpose chat.

What to Know

Qodo appears strongest when you need context-aware review automation in larger or more complex codebases. It emphasizes actionable suggestions, standards enforcement, and issue resolution, but it is still a review assistant rather than a fully...

Key Features

Context-aware code review suggestions

IDE-based review while you code

Pull request review workflows

Compliance and policy checks for PRs

Issue resolution with automated code updates

Use Cases

Engineering teams reviewing pull requests in complex repositories

Developers catching bugs, missing tests, and logic issues inside the IDE

Organizations enforcing coding and compliance rules across the SDLC

Agenticness: Guided Assistant

Executes tasks you assign, one step at a time, within narrow domains.

High evidence

Last evaluated: May 22, 2026

Dimension Breakdown

Action Capability

Autonomy

Adaptation

State & Memory

Safety

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