Qodo Review: AI Test Generation and PR Review in 2026

Most AI coding tools want to write your features. Qodo, the company formerly known as CodiumAI, picked a narrower lane: the parts of the job most developers skip. Tests. Pull request reviews. Catching the edge case you didn’t think about before it ships.

That focus is worth taking seriously, because test coverage and review quality are exactly where teams cut corners under deadline pressure. We spent time with Qodo’s three main surfaces — Qodo Gen in the IDE, Qodo Merge on pull requests, and the open-source PR-Agent that underpins it — to see whether the pitch holds up when you point it at code that isn’t a demo.

What Qodo actually is

Qodo is not one product. It’s three that share a brand:

• Qodo Gen — an IDE extension for VS Code and JetBrains that generates tests, suggests code, and runs a chat scoped to your repository.
• Qodo Merge — a hosted bot that reviews pull requests, writes PR descriptions, and proposes inline improvements. It runs on GitHub, GitLab, and Bitbucket.
• PR-Agent — the open-source (Apache 2.0) core that Qodo Merge is built on. You can self-host it and point it at your own model keys.

The rebrand from CodiumAI to Qodo happened in 2024, and if you used the old Codium VS Code plugin, Qodo Gen is its direct descendant. Worth a quick disambiguation: this is unrelated to Codeium, the autocomplete tool that became Windsurf. Similar names, different companies.

The reason the split matters is that you can adopt Qodo at three very different commitment levels. Self-host PR-Agent for nothing but your own LLM bill. Add Qodo Gen to one developer’s editor. Or roll out Qodo Merge across an org with a dashboard and policy controls. Few competitors give you that range.

Test generation in practice

The headline feature is test generation, and it works differently from “write a unit test for this function” prompts you’d type into a generic chatbot. Qodo Gen analyzes the function, infers the behavior it thinks you intended, and proposes a set of tests — happy path plus edge cases it derived from the code’s branches and types.

What we found useful: it surfaces cases you’d plausibly forget. Empty inputs, null handling, boundary values on numeric ranges, the branch where an early return fires. For a function with a few conditionals, you get a spread of tests rather than one token example.

What it can’t do: know your intent when the code is ambiguous. If a function has a bug, Qodo will sometimes generate a test that asserts the buggy behavior, because it inferred the spec from the implementation. This is the fundamental limit of generating tests from code rather than from a specification — and it’s true of every tool in this category, not a Qodo-specific flaw.

The practical workflow that paid off: write the function, let Qodo Gen propose tests, then read the assertions critically and delete or rewrite the ones that encode wrong behavior. Treat the output as a checklist of cases to consider, not a finished suite. Used that way, it genuinely shortens the gap between “function written” and “function covered.”

PR review with Qodo Merge

Qodo Merge is the half of the product we’d point most teams toward first, because PR review is where consistency tends to break down. The bot runs a set of commands you can trigger by comment or configure to run automatically:

• /describe — generates or updates the PR description and a change walkthrough.
• /review — posts a structured review: a severity estimate, security and edge-case flags, and specific concerns.
• /improve — suggests concrete code changes as committable inline suggestions.
• /ask — answers a question about the diff in context.

The /improve command is the standout. Instead of vague “consider refactoring this” comments, it produces inline suggestions you can apply with one click, in the same format a human reviewer’s suggested-change block uses. That removes the copy-paste friction that makes most automated review comments get ignored.

The honest caveat is signal-to-noise. On a small, focused diff, the review is sharp. On a sprawling PR that touches twenty files, you get volume, and some of it is the kind of generic advice an experienced reviewer scrolls past. Qodo lets you tune which checks run and set thresholds, which helps — but expect to spend time configuring it before the output matches your team’s bar. Out of the box it errs toward saying more rather than less.

The open-source PR-Agent route is the interesting escape hatch here. If data residency or model choice matters to you, self-hosting means your diffs go to a model endpoint you control rather than Qodo’s cloud. You trade the managed dashboard and the polish for ownership. For teams in regulated environments, that trade is often the whole decision.

Qodo offers a free tier aimed at individual developers, with paid Teams and Enterprise plans adding seats, org-wide controls, and usage limits above the free quota. Pricing moves often enough that you should confirm current numbers on Qodo’s site rather than trusting any figure quoted in a review — including this one.

If you also want an AI tool that writes the feature code itself rather than the tests and reviews around it, Qodo pairs naturally with an AI-native editor:

Who Qodo is for

Qodo earns its place if test coverage and review consistency are real problems for you — not aspirational ones. A solo developer who already writes thorough tests gets less from it than a five-person team where reviews are rushed and coverage is whatever someone had time for on Friday.

The strongest case is a team that adopts Qodo Merge for PRs and lets Qodo Gen handle the first draft of tests, with humans editing both. The weakest case is expecting it to replace the judgment that decides what “correct” means in the first place. It generates the scaffolding around correctness; it doesn’t define correctness for you.

Qodo isn’t trying to be the everything-tool, and that restraint is the point. If you want one AI to write your app, look elsewhere. If you want the tests and the review your team keeps deprioritizing to actually get done, it’s one of the more honest tools pointed at that problem in 2026.