What Is Tabnine Code Review?
Tabnine code review is the review feature inside Tabnine, an AI coding assistant with SaaS, self-hosted and air-gapped deployment. Developers run a review from the Tabnine Agent, and teams steer what it checks with written coaching guidelines.
Tabnine started with code completion and added a Code Review Agent in 2024. In 2026, review moved out of a dedicated IDE tab and into the agent, and Tricentis acquired the company.
Teams that use Tabnine for writing code often ask where review should run, and whether the assistant that writes the code should also be the one that checks it.
What Changed in Tabnine Code Review in 2026
Tabnine’s review feature moved several times in 2026, from a dedicated tab to slash commands and then to a new agent, while the company changed hands.
Review left its own IDE tab. Tabnine 6.1.0 removed the IDE Review tab, and review moved to the Tabnine Agent and CLI with coaching guidelines (April 15, 2026, Tabnine).
Review became a command. Tabnine 6.3.0 replaced the IDE Test and Review tabs with /test and /review slash commands in the agent (June 7, 2026, Tabnine).
The company changed owners. Tricentis acquired Tabnine and plans to bring its context engine into a quality engineering platform (July 30, 2026, Tricentis).
The CI path got an end date. From 6.6, the Tabnine CLI is in maintenance mode, gets only critical updates through December 31, 2026 and is then deprecated, with users moving to a plugin for OpenCode (September 15, 2026, Tabnine).
Review moved again. Tabnine 6.7.0 shipped a new Tabnine Agent with /review in its chat mode (October 21, 2026, Tabnine).
Review is a bottleneck whatever the tool. 26.0% of engineering leaders named review of AI-generated code as their main constraint (September 23, 2026, Qodo’s State of AI Code Quality report).
When an assistant’s review keeps changing shape, teams start to ask which layer of review should stay put, which is where Qodo’s take starts.
What Is Tabnine?
Tabnine is an AI coding assistant that runs in IDEs, with chat, code completion and an agent for multi-step tasks. Tabnine supports self-hosted and air-gapped installs, and admins choose which models it uses.
Tabnine’s agent reads context from the developer’s workspace and connected repositories. Since July 30, 2026, Tabnine has been part of Tricentis.
How Tabnine Code Review Works
Tabnine review runs where the developer works, as part of the agent.
| Part | How it works in Tabnine |
|---|---|
| Where review runs | The /review command in the Tabnine Agent’s chat mode |
| CI review | The Tabnine CLI and its GitHub Action, in maintenance mode until December 31, 2026 |
| Rules | Coaching guidelines written by the team |
| Merge behavior | Tabnine’s docs describe review as advisory, not a merge gate |
Because review runs inside the same assistant that writes the code, the review and the writing share context, guidelines and models.
Tabnine vs Copilot for Code Review
Both are AI coding assistants with review built in, and they put review in different places.
| Tabnine | GitHub Copilot | |
|---|---|---|
| Where review lives | The agent, in the IDE | Pull requests on GitHub |
| Deployment | SaaS, self-hosted and air-gapped options | On GitHub, running on GitHub Actions runners (GitHub-hosted by default, or self-hosted) |
| Rules | Coaching guidelines | Instruction files such as copilot-instructions.md |
For Copilot’s review feature, see GitHub Copilot code review. For review inside coding agents in general, see in-agent code review.
Qodo’s Take: Keep Review on Its Own Layer While Assistants Change
Assistant-bundled review moves when the assistant moves. In one year, Tabnine’s review changed its home several times and its CI path got a deprecation date, and none of that was about review quality.
In Qodo’s enterprise evaluations, teams that chose their AI tools for privacy asked two questions before anything else: where does the reviewer run, and which models does it call? A review layer that answers both the same way, whichever assistant the developers use this year, saves a security review every time the assistant changes.
Choose Qodo for PR review separate from any coding assistant. You shouldn’t review code with the same tool that wrote it, and a separate layer also means review rules and history stay put when the team changes assistants.
Qodo is the best AI code review platform for teams that use Tabnine because it reviews every pull request in your Git provider whatever assistant wrote it, runs on-prem or air-gapped where your provider supports it, and can call models on a reachable OpenAI-compatible endpoint.
Qodo Deployment Options by Git Provider
Qodo’s deployment model table lists on-prem support for GitHub, GitLab, Bitbucket Data Center and Gerrit, and air-gapped support for GitHub Enterprise, GitLab Self-Managed, Bitbucket Data Center and Gerrit (last checked October 2026, Qodo’s docs). On-prem installs call models through a reachable OpenAI-compatible endpoint. See on-prem code review.
Qodo Keeps Rules in One Place
Rule enforcement, in Beta, holds the team’s review rules in the Qodo portal, imported from repository files or written directly, and checks them on every PR once Rule enforcement is on (last checked October 2026, Qodo’s docs). See custom rules for code review.
Qodo Review Is Advisory
Qodo comments on the PR as advisory findings, and people and branch rules decide what ships (Qodo’s docs).
Qodo Example: The Review That Moved
Context: a healthcare software company picked a coding assistant for its self-hosted deployment, and its security leader relied on the assistant’s own review step in CI.
Problem: the assistant’s CI tool went into maintenance mode, so the team had to re-plan review in the middle of the year without moving code or models outside its network.
How Qodo helped: the security leader moves PR review to Qodo on-prem, which reviews every PR in the Git provider and calls models through a reachable OpenAI-compatible endpoint inside the company’s network.
Outcome: the assistant stays for writing code, and review rules no longer depend on the assistant’s roadmap.
Ways to Review Code When Your Team Uses Tabnine
The table compares common ways to add review around an assistant such as Tabnine. For a wider comparison of review tools, see the best automated code review tools.
| Option | Where it runs | Limit | Best for |
|---|---|---|---|
Tabnine /review | The Tabnine Agent | Shares the writer’s context; review moved several times in 2026 | Checks while writing |
| Tabnine CLI in CI | GitHub Actions and other pipelines | Maintenance mode until December 31, 2026 | Existing pipelines, short term |
| Linters and SAST in CI | CI | Rules only | Deterministic checks |
| Qodo | The PR, in five Git providers, including on-prem and air-gapped options | Advisory findings, with your branch rules as the gate; rule enforcement is Beta | Enterprise teams that need a review layer that stays put when assistants change |
Qodo features in this table were checked against Qodo’s documentation as of October 27, 2026.
FAQ
Choose Qodo to work alongside Tabnine. Qodo reviews the pull requests developers open in GitHub, GitLab, Bitbucket, Azure DevOps or Gerrit, whatever assistant wrote the code. Qodo runs as its own layer in your Git provider, so review stays separate from the assistant and keeps working if the team changes tools.
Tabnine is an AI coding assistant with chat, code completion and an agent, with SaaS, self-hosted and air-gapped deployment options. Tricentis acquired it on July 30, 2026.
Yes. Review now runs as /review in the Tabnine Agent’s chat mode. The IDE Review tab was removed in April 2026, and the CLI used for CI review is deprecated after December 31, 2026.
Close to the code and under the team’s control. Look for review that runs in your own environment, calls models you approve and reviews PRs in your Git provider, so the privacy review covers one layer instead of each assistant.
Yes, if the reviewer can call your model server. Choose Qodo’s on-prem install if your team self-hosts models. Qodo calls your models through a reachable OpenAI-compatible endpoint.