What is tokenpatch?
tokenpatch helps your current AI coding app route bounded implementation patches to a lower-cost executor while keeping the strong model in charge of planning and review.
Quick answers for developers comparing tokenpatch, BYOK DeepSeek execution, hosted credits, and AI coding cost reduction workflows.
tokenpatch helps your current AI coding app route bounded implementation patches to a lower-cost executor while keeping the strong model in charge of planning and review.
No. The first release is BYOK-first. You can use your own DeepSeek key today without creating an account.
Hosted credits are planned later for invited users who cannot easily get or manage a DeepSeek API key. The public launch starts with local BYOK.
tokenpatch is designed to work with Codex, Claude Code, Cursor, and other MCP-capable tools.
It focuses on task-level cost, not just request-level cost. The report shows savings ratio, baseline cost, actual cost, and cost per applied patch.
No. tokenpatch is designed to sit beside those tools. The strong model still handles planning, judgment, and review while tokenpatch executes narrow implementation patches.
DeepSeek V4 Pro is positioned as a lower-cost coding executor for bounded implementation work. tokenpatch keeps the task scoped so the cheaper model is not asked to own the whole project.
No. In BYOK mode, Codex, Claude Code, Cursor, or your local environment keeps the strong-model configuration. tokenpatch only needs executor credentials.
Avoid using tokenpatch for broad architecture decisions, ambiguous product work, security-sensitive changes without review, or tasks where the allowed files cannot be defined.
It can run bounded documentation, test, and landing-page edits while preserving allowed-file boundaries and reporting the cost of each applied change.