Augment Code vs Tabnine
Tabnine scores 7.5 to Augment Code's 6.3 among the AI coding assistants we rate, and is the better pick for 2 of the 4 kinds of buyer below.
Tabnine wins, 7.5 to 6.3
Augment Code's Standard plan costs $20 a month as a flat price for the whole team; Tabnine's Code Assistant plan runs $39 a month per developer, sold only as an annual subscription. Tabnine states your code is never stored, while Augment's retention is bounded by policy rather than zero. Augment reviews pull requests as a dedicated feature; that was not confirmed for Tabnine. Both promise not to train their AI on your code.
Pick Augment Code if your whole team wants one flat monthly price.
Pick Tabnine if you want as-you-type suggestions with a stated zero-storage code policy.
Best for
Who each one suits, decided on the criteria that matter to that buyer and the checked facts where the two differ.
- Reviews pull requests: Augment Code yes, Tabnine no
- Monthly price, cheapest paid plan: $20 against $39
- Bring your own API key: Tabnine yes, Augment Code no
- Runs models on your own machine: Tabnine yes, Augment Code no
- Option to keep no copy of your code: Tabnine yes, Augment Code no
- Runs on your own servers or cloud: Tabnine yes, Augment Code no
How they score
Both are scored the same way, against the other AI coding assistants we rate, from facts on each vendor's own pages. They split the criteria 2 each, with the rest level.
Where they differ
Every point where the two vendors' published facts disagree, with a link to where each fact was read. "Not published" means the vendor does not say either way.
Published by only one of them
Where they match (7)
Pricing, plan by plan
Every plan each vendor publishes, monthly and yearly where both are offered.
Augment Code
Tabnine
Pros and cons
From each tool's full review, written from the same checked facts.
Augment Code
- The Context Engine maps codebases as a structural graph rather than a text corpus, enabling support for repositories with 400,000+ files.
- PR Author agent handles the full workflow from first commit through merge, not just code generation.
- The Tester expert runs end-to-end changes and posts results with screenshots, a level of specificity most competing tools skip.
- Three distinct code review modes (Deep Code Review, Pair Review, and PR Risk Analysis) give teams flexible oversight options.
- PR Risk Analysis surfaces security vulnerabilities before a human reviews the code, with a claimed 60%+ automatic CVE remediation rate.
- The Cosmos platform enables shared memory and coordinated AI agents across an entire engineering organization.
- Built enterprise-first with agentic workflows that span from incident detection all the way through merge.
- The tool is expensive and clearly not positioned for solo developers or small teams on tight budgets.
- Very limited independent user reviews exist on platforms like G2, making third-party validation difficult.
- The 60%+ CVE auto-remediation claim is striking but has not been stress-tested across diverse codebases in public documentation.
- As a company founded in 2022, the product's long-term reliability and enterprise track record is still relatively unproven.
- The breadth of the feature surface and agentic complexity may introduce a steep learning curve for engineering teams adopting it.
- The enterprise-first focus means smaller or mid-market teams may find the product over-engineered for their needs.
Tabnine
- Tabnine's Enterprise Context Engine learns organizational architecture, naming conventions, and framework preferences across the entire team, not just individual files.
- The tool can be deployed fully air-gapped with zero data leaving your infrastructure, making it genuinely viable for regulated industries.
- Supports 30-plus programming languages including Python, JavaScript, TypeScript, Java, Go, Rust, and C++.
- Integrates with a wide range of IDEs including VS Code, JetBrains, Eclipse, and Visual Studio.
- Has been in the AI coding assistant space since 2018, giving it significantly more maturity than most current competitors.
- Code generation pulls from full project context and learns individual coding style over time, including variable naming and function structure.
- Multi-line completions are enabled and the engine adapts to how you write, not just what you write.
- Pricing is described as genuinely opaque, which creates friction for developers and teams trying to evaluate costs.
- The free plan has been removed, which significantly changes the value proposition for solo developers and indie users.
- Trustpilot scores raise concerns that are difficult to dismiss based on the review's own assessment.
- Tabnine does not position itself as the most aggressive or capable agentic workflow tool, which may disappoint developers seeking cutting-edge AI features.
- The tool's depth of features is not well communicated, meaning many users may not realize what capabilities exist beyond basic autocomplete.
- Marketing claims sometimes outpace what the product delivers in practice, based on gaps found between vendor docs and real user feedback.
Augment Code vs Tabnine: common questions
Which is better, Augment Code or Tabnine?
Tabnine scores 7.5 and Augment Code 6.3 out of 10 among the AI coding assistants we rate. Tabnine is ahead on model freedom and privacy and security. Augment Code is ahead on agents and your codebase and pricing.
Is Augment Code or Tabnine cheaper?
Augment Code's cheapest paid plan is $20/mo (Standard plan) and Tabnine's is $39/user/mo (Tabnine Code Assistant, annual subscription, quote required). Compare what each plan includes below before going on price alone.
Do Augment Code and Tabnine have a free plan?
Neither has a free plan.
What can Augment Code do that Tabnine cannot?
On the facts both vendors publish: reviews pull requests.
What can Tabnine do that Augment Code cannot?
On the facts both vendors publish: bring your own API key, runs models on your own machine, option to keep no copy of your code and runs on your own servers or cloud.
