What each product actually is
Cursor ships as an AI-first desktop IDE built on a VS Code fork. The product thesis is that LLMs should sit inside the editor loop — autocomplete, Cmd+K-style inline edits, chat with repository context, and agent modes that touch multiple files. Buyers are choosing an opinionated hosted IDE experience, not a plug-in bolted onto an unrelated editor.
Tabby is a self-hosted coding assistant: a server you (or your platform team) operate, plus IDE integrations for completion and chat. The Community edition is Apache-2.0 and aimed at local or private-cloud inference, including consumer-grade GPU paths. It is not trying to be a full Cursor-class IDE fork; it is trying to keep code and prompts on infrastructure you control.
Scoreboard with dates (no re-test)
Cursor (tested 2026-03-27): overall 91, speed 94, privacy 62, developer experience 93 (v0.40.4).
Tabby (tested 2026-07-28): overall 85, speed 80, privacy 94, developer experience 82 (v2.1.0).
Cursor leads on overall, speed, and developer experience in the published Score v1 artifacts. Tabby leads decisively on privacy. Those four numbers are the evidence base for this comparison; treat them as dated editorial scores, not as a claim that both tools were re-run side by side for this page.
Privacy and data path
Privacy is where the products diverge most clearly. Cursor's published privacy score is 62 (tested 2026-03-27), reflecting a hosted AI IDE path where model providers and cloud features are part of the default experience. That is acceptable for many individuals and startups; it is a hard stop for regulated or air-gapped buyers.
Tabby's privacy score is 94 (tested 2026-07-28). The catalog and review frame Community as zero code transmission when you run inference yourself, with commercial Team/Enterprise options for SSO, RBAC, and organizational controls. If the buying constraint is "code never leaves our boundary," Tabby is the Score v1 winner on that axis even when Cursor wins overall.
Developer experience, speed, and pricing posture
Cursor's DX 93 and speed 94 (tested 2026-03-27) match the product story: deep editor integration, multi-file agents, and a workflow designed around continuous AI assistance. The trade-offs called out in the review — learning curve and pricing complexity — still matter. Catalog pricing describes a free Hobby tier and paid individual plans starting around Cursor Pro at $20/month, with higher Pro+/Ultra and team tiers for heavier use.
Tabby's DX 82 and speed 80 (tested 2026-07-28) reflect a capable self-hosted assistant that asks the organization to own hardware, model choice, reliability, and security. Pricing in the catalog: Community at $0 with unlimited seats for the open core; Team around $19/seat/month; Enterprise custom. Model and GPU costs sit outside the software fee either way.
Who should pick which — and the winner guide
Choose Cursor if you want a hosted AI-native IDE, you value agentic multi-file editing inside one editor, and you can accept a cloud model path. Choose Tabby if self-hosting, air-gapping, or maximizing privacy is non-negotiable and you have (or will fund) platform capacity to run inference.