mirror of
https://github.com/alibaba/open-code-review.git
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07b41bad79
Move MCP server to the current-state list now that it is supported, and replace the MCP roadmap entry with a delegate mode that lets ocr run on the host coding agent's subscription without a standalone LLM endpoint.
73 lines
3 KiB
Markdown
73 lines
3 KiB
Markdown
# Roadmap
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This document describes the planned direction for OpenCodeReview over the
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next year. It is a living document and will be updated as priorities evolve.
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Feedback is welcome via
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[GitHub Discussions](https://github.com/alibaba/open-code-review/discussions)
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or [Issues](https://github.com/alibaba/open-code-review/issues).
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## Current State (Mid-2026)
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OpenCodeReview currently provides:
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- A CLI tool (`ocr`) for AI-powered code review with deterministic
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engineering and agent hybrid architecture.
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- Integration with coding agents: Claude Code (plugin/skill), Codex
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(plugin), and Cursor (plugin).
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- A VSCode extension for in-editor code review.
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- CI/CD integration (GitHub Actions, GitLab CI, etc.).
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- Multi-provider LLM support (OpenAI-compatible, Anthropic, Google Gemini,
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Amazon Bedrock, Azure OpenAI, etc.).
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- MCP server — expose OpenCodeReview over the
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[Model Context Protocol](https://modelcontextprotocol.io/) so review
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capabilities can be invoked from any MCP-compatible client.
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- Review rules engine with per-file pattern matching.
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- Multi-language documentation (English, Chinese, Japanese, Korean, Russian).
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## Planned — H2 2026
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### IDE Plugins
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- **JetBrains plugin** — Bring AI code review to IntelliJ IDEA, GoLand,
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PyCharm, and other JetBrains IDEs with the same capabilities as the
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existing VSCode extension.
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### Delegate Mode
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- **Subscription-friendly review** — An opt-in mode where `ocr` no longer
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depends on a separately-configured LLM endpoint. Instead of calling an
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LLM itself, `ocr` resolves the review scope, applies excludes, loads
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review rules, injects background context, and collects the diffs, then
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hands that off as a structured review task for the host coding agent
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(e.g. Claude Code) to execute using its own agent loop and included
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subscription usage — removing the need for a standalone API key.
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### Ultra Mode
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- **Higher-recall review mode** — An opt-in mode that trades increased
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token consumption and review time for significantly higher issue recall
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rate. Designed for security-sensitive or high-risk changesets where
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thoroughness is more important than speed.
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## Planned — H1 2027
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### Domain-Specific Long-Term Memory
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- **Persistent review knowledge** — Enable the review engine to accumulate
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domain-specific knowledge over time (recurring patterns, past review
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decisions, project-specific conventions) and apply it to future reviews,
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improving relevance and reducing repeated feedback.
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## Not Planned
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The following are explicitly out of scope for the foreseeable future:
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- **Automated code fixing without human review** — OCR is a review tool,
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not an auto-fix tool. While it can suggest fixes, applying changes always
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requires human approval.
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- **General-purpose AI coding assistant** — OCR focuses exclusively on
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code review. Features like code generation, refactoring, or chat-based
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coding assistance are not planned.
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- **Self-hosted LLM bundling** — OCR connects to external LLM providers
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but does not bundle or host models itself.
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