TabninePrivacy-first AI code assistant for faster, more secure software development.
Overview
Key features
- Context-aware code completions
- AI chat for code generation and explanation
- Automated test and documentation generation
- Custom models trained on private code
- IDE integrations for VS Code, JetBrains, and more
- On-prem, VPC, and SaaS deployment options
Pricing
- Model
- Freemium
- Category
- Code Assistants
- Rating
- 4.5 / 5 (4)
Use cases
Accelerate Coding with Context-Aware Completions
Developers get real-time, context-aware code suggestions inside VS Code, JetBrains, and other IDEs to write code faster across many programming languages.
Secure AI Coding for Regulated Enterprises
Engineering teams in security-sensitive industries deploy Tabnine on-prem, in a VPC, or air-gapped so proprietary code never leaves their environment.
Automate Tests and Documentation
Use AI chat to generate unit tests, write documentation, and explain unfamiliar code, reducing time spent on routine engineering tasks.
Personalized Assistant for Team Codebases
Train custom models on a team's private repositories so suggestions follow internal patterns, standards, and conventions specific to the organization.
Pros & Cons
Pros
- Strong privacy and security controls
- Supports self-hosted and air-gapped deployments
- Works across many languages and IDEs
- Can be personalized to a team's codebase
Cons
- Advanced features require paid plans
- Suggestion quality varies by language
- Enterprise setup can be complex
Reviews
Average from 4 ratings.
Sign in to leave a review.
Skeptical, then convinced
I went in skeptical — most tools in this space overpromise. It actually delivers on custom models trained on private code, and can be personalized to a team's codebase caught me off guard. still, I'd recommend giving it a real trial.
Does the job
Pretty happy overall. Automated test and documentation generation just works and strong privacy and security controls. Suggestion quality varies by language can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.
Solid for our team
We rolled this out across the team last quarter and supports self-hosted and air-gapped deployments. Custom models trained on private code fits neatly into how we already work, and context-aware code completions removed a step we used to do by hand. Enterprise setup can be complex, which is the main caveat, but it has held up under daily use.
Does the job
Pretty happy overall. Automated test and documentation generation just works and can be personalized to a team's codebase. Enterprise setup can be complex can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.
Q&A
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