Git Integrations

Tabnine use is limited to one user per seat under the license agreement. If you want to use Tabnine in a CI/CD pipeline, please contact our team.

Run Tabnine CLI in your CI/CD pipeline to automate tasks on every pull request — code review, documentation generation, test scaffolding, and more.

Overview

Tabnine CLI can run in non-interactive (headless) mode inside CI/CD pipelines, triggered automatically on pull requests and merge requests. The provided integrations install the CLI, authenticate, and execute a prompt against your codebase — the agent has full access to the diff, the repository, and the platform's API to post comments and results.

The behavior is entirely driven by the prompt you provide. The out-of-the-box configurations include a comprehensive code review prompt, but you can customize or replace it to automate any task.

Prerequisites

Before setting up any integration, ensure you have:

• Tabnine account with Agents enabled for your team

• TABNINE_KEY — Tabnine Personal Access Token. Obtain this from your Tabnine admin console.

• Node.js 20 — Available in the CI runner (GotLab/Bibucket provided configurations use the node:20 image)

The TABNINE_KEY is a Personal Access Token used for non-interactive (headless) authentication. Store it as a secret/secured variable in your CI/CD platform - never commit it to your repository.

Supported Platforms

Platform	Integration Type	Trigger
GitHub Actions	Composite Action	pull_request event
GitLab CI/CD	CI Job	merge_request_event pipeline
Bitbucket Pipelines	Pipeline Step	Pull request pipelines

How It Works

┌─────────────────────┐
│  Developer opens    │
│  a Pull Request     │
└────────┬────────────┘
         ↓
┌─────────────────────┐
│  CI/CD pipeline     │
│  triggers           │
└────────┬────────────┘
         ↓
┌─────────────────────┐
│  Tabnine CLI installs│
│  and authenticates  │
└────────┬────────────┘
         ↓
┌─────────────────────┐
│  Agent executes     │
│  your prompt        │
└────────┬────────────┘
         ↓
┌─────────────────────┐
│  Results posted     │
│  on the PR/MR       │
└─────────────────────┘

The agent runs with access to:

• The full repository — it can read any file, not just the diff

• Shell commands — it can run build tools, test runners, linters, etc.

• The platform API — it can post comments, fetch PR metadata, and interact with the hosting platform

• Tabnine's context engine — it can search across your organization's repositories, fetch service summaries, and validate against coaching guidelines

Example Use Cases

Use Case	What the Agent Does
Code Review	Audits the PR diff for bugs, security issues, performance, and posts inline comments (included out-of-the-box)
Documentation	Generates or validates documentation for changed code and posts it as a PR comment
Test Generation	Scaffolds unit tests for new or modified functions
Coverage Analysis	Identifies untested code paths in the diff and suggests what to cover
Changelog Drafting	Summarizes PR changes into a changelog entry
Migration Validation	Checks database migrations for safety and backward compatibility
Custom Policies	Enforces team-specific conventions, naming rules, or architectural constraints

Each of these is achieved by changing the prompt passed to tabnine -y -p "..." in your pipeline configuration.

Customizing the Prompt

The core of every integration is a single call to the Tabnine CLI in non-interactive mode:

~/.local/bin/tabnine -y -p "YOUR PROMPT HERE"

The prompt defines what the agent does. The provided configurations include a detailed code review prompt, but you can replace it with any instructions. Your prompt can reference:

• Environment variables — CI/CD variables like PR number, commit SHAs, branch names

• Platform APIs — Instructions for the agent to call the GitHub/GitLab/Bitbucket API

• Shell commands — The agent can execute commands you describe in the prompt

• Tabnine tools — Remote code search, coaching guidelines, and other built-in capabilities

The -y flag enables auto-accept mode, so the agent executes tool calls without waiting for confirmation — essential for non-interactive CI/CD environments.

The Included Code Review Prompt

The out-of-the-box configurations include a comprehensive code review prompt that:

1

Fetches the PR/MR diff

Uses the platform's API to obtain the diff for the pull/merge request.

2

Classifies the change

Assigns a risk tier (Low, Standard, High) to the change.

3

Audits the code

Checks for correctness, security, performance, and other issues.

4

Analyzes cross-repo impact

Uses Tabnine's context engine to assess effects across repositories.

5

Validates against coaching guidelines

Applies team-configured coaching guidelines to the change.

6

Posts inline comments

Adds actionable suggestions on specific lines in the diff.

7

Posts a summary comment

Provides an overall assessment in a summary comment on the PR/MR.

The review evaluates code against these categories, in priority order:

Priority	Category	Examples
P0	Correctness & Logic	Null dereferences, off-by-one errors, async issues
P0	Data Integrity	Missing transactions, idempotency problems
P1	Security	SQL injection, hardcoded secrets, auth gaps
P1	API Contract Safety	Breaking changes, backward compatibility
P1	Error Handling	Silent failures, missing cleanup
P1	Performance	N+1 queries, blocking I/O, resource leaks
P2	Deployment Safety	Migration risks, missing feature flags
P2	Observability	Missing logging, exposed sensitive data
P2	Maintainability	Naming, conventions, documentation

Optional Configuration

All integrations support these optional settings:

Setting	Description	Default
Tabnine Host	URL of your Tabnine console (for self-hosted / EMT installations)	https://console.tabnine.com
Model ID	Override the AI model used by the agent	System default from admin console

Next Steps

Set up Tabnine CLI in your CI/CD pipeline:

• GitHub Actions — Step-by-step setup for GitHub

• GitLab CI/CD — Step-by-step setup for GitLab

• Bitbucket Pipelines — Step-by-step setup for Bitbucket

See Also

• Code Review (Interactive) — Using Tabnine CLI for manual code reviews

• Model Selection — Choosing the right model