Coding & Development
Tabnine
Completions you can air-gap
Tabnine is the privacy-first completion seat. Buy it when legal will not sign GitHub’s story.
Buyer verdict
Tabnine deserves a close look when deployment choice, code handling, governance, and organizational control matter more than winning a generic completion benchmark. The business case still has to survive on engineering outcomes: time to reviewed change, review burden, rework, and defects—not suggestions accepted.
Pricing and feature limits checked September 23, 2026. Vendor terms can change.
What it costs
Use the list price as a starting point. Model every role and the limits your operating process will actually use.
| Plan | Published price | What to notice |
|---|---|---|
| Code Assistant | $39/user/month on an annual subscription | Completions, chat, codebase context, governance, and deployment choices. |
| Agentic Platform | $59/user/month on an annual subscription | Adds agentic development, broader context, tools, and workflow capabilities. |
| Headless Agents | From $1,200/month annually | Capacity-priced automation for CI/CD and system-triggered engineering work. |
| Private deployment | Confirm with sales | VPC, on-premises, and air-gapped options depend on the commercial arrangement. |
Worked cost check
Fifty Code Assistant seats at the published rate equal $1,950 per month, or $23,400 across a year, before implementation and model-consumption terms. Fifty Agentic Platform seats equal $2,950 per month. The $1,000 monthly difference needs to buy measurable agent work—not simply access to a longer capability list.
Where it earns the seat
- • Code cannot be sent through an unmanaged public assistant and deployment location is a material buying requirement.
- • Engineering leadership needs centralized model, user, policy, provenance, and usage controls.
- • The team will compare reviewed delivery outcomes on its own repositories and change types.
Where it faceplants
- • Private deployment is treated as proof that generated code is correct, maintainable, or license-safe in every case.
- • The pilot reports accepted suggestions but ignores larger diffs, longer reviews, and 14-day rework.
- • Agent permissions reach repositories, tickets, commands, or pipelines before approval and rollback are tested.
A test that produces a buying answer
Run these jobs with your data. Record the result before anyone discusses whether the interface feels modern.
TEST 1
Run one repeated change type
Measure: Time to reviewed pull request, reviewer minutes, defects, and 14-day rework.
TEST 2
Test codebase context
Measure: Correct use of internal APIs, standards, permissions, and current repository state.
TEST 3
Compare deployment options
Measure: Data path, retention, model access, administration, latency, and incident responsibility.
TEST 4
Exercise an agent boundary
Measure: Approval before commands or writes, complete logs, safe failure, and rollback.
Continue the decision
Price the whole operating change
Model every seat and the human work around it, then document the baseline, evidence grade, and stop rule before approval.
Primary sources
AAT · Editorial reading
The Dials
Four readings. Not a score. Not a room.
Privacy-first completions. Legal likes the deployment. Still suggests.
Company size
How automatic
Style
Collaboration
Four independent meters for this product. They do not cross. Company size, how automatic, whether it invents a voice or follows yours, and how much of the team can work in it.
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