OpenCode vs Tabnine (2026)

Upgraded from P: MCP servers, LSP servers, custom tools, plugins, formatters and native GitHub and GitLab integrations are all documented configuration surfaces, which is breadth across classes rather than a single tool set.

Upgraded from P: the Context Engine is explicitly agent agnostic, serving Cursor, GitHub Copilot and Claude Code alongside Tabnine's own platform, which is integration breadth across the customer's chosen agent estate.

Upgraded from P: Plan and Build are distinct shipped modes, multiple agents run in parallel on one project, and custom agents plus commands are configurable, which is multi step orchestration rather than a single request response loop.

Upgraded from P: the June record described an IDE assistant, but the product is now the Tabnine Agentic Platform with agents that plan and execute multi step workflows across IDE, CLI and CI/CD.

Upgraded from N: invocation spans TUI, CLI including scriptable non interactive mode, desktop, IDE extension, headless HTTP server, ACP clients and native GitHub and GitLab integrations. Channel coverage for a coding agent means developer surfaces.

Upgraded from P: the CLI is a new named product since the June record, and the platform now spans IDE, terminal and CI/CD rather than the IDE alone.

Upgraded from P: /init generates a committed AGENTS.md, references and rules are documented configuration surfaces, and LSP gives the agent semantic rather than textual code intelligence.

Upgraded from P and this is now the vendor's headline differentiator: a structured knowledge graph rather than similarity based retrieval, and the specific asset Tricentis acquired the company for.

Upgraded from P: sessions persist in a local SQLite store, are resumable and shareable by link, and AGENTS.md carries project knowledge across every session as a committed file.

Upgraded from P: the knowledge graph is continuously updated organisational state persisting across sessions and across agents, including third party agents, which is durable learned context rather than session memory.

Provenance and attribution is a real and unusual guardrail, telling the developer where generated code came from and whether it carries IP risk, but it is an output check rather than a configurable approval gate on agent actions.

Held at P deliberately. The named control surface is strong (SSO, central config, permissions, policies) and the no data retention architecture is a genuine posture, but there is no security attestation of any kind, so the axis conjunction fails on the attestation half. This is the mirror of 7ai, which had the certificate and no controls.

A published trust centre exists at trust.tabnine.com but was not retrieved on this pass, so specific attestations are unconfirmed; the grade rests on the documented control surface plus centralised governance, which meets the conjunction on the control half with the attestation searched for and not confirmed.

Session sharing exposes the full conversation including tool calls, which is real transparency, and the whole agent is open source and inspectable; held at P because there is no audit log, run history or organisation level record of agent actions.

Provenance and attribution gives per output traceability, which is genuine and rare, but no per agent execution trace or organisation audit log was retrieved; same reading applied across this lane.

Upgraded from N: Agent Skills, custom agents and custom commands are shipped packaging surfaces and an ecosystem page exists, but these are authored by the customer or community rather than a vendor published installable catalogue, so P not F.

Org native agents and the SDLC chat surface are vendor built product components rather than a customer installable library of agents or templates.

Private repo trained models and license compliant model selection are real model control, but no documented surface for the customer to choose or route between named frontier providers was retrieved; held at P as the June grid had it, on better evidence.

The Context Engine serving third party agents implies an integration interface, and a docs site exists, but no public API reference, SDK or MCP server was retrieved on either pass.

LSP diagnostics give the agent real feedback on whether its edits compile, and /undo allows iteration, but the axis measures what the customer can test of the agent and no evaluation harness exists.

Test generation and debugging assistance are the agent acting on the customer's code, which the axis does not credit; no harness for evaluating agent behaviour was retrieved. Watch item: the Tricentis acquisition is explicitly about folding this into an agentic quality engineering platform, so this axis is the likely one to move on a future pass.