# Tools > Every listed resource, editors’ picks first. The filters below can be combined. - Search: append `?q=` to the URL. Separate several keywords with spaces; all of them must match. Matches name, repository, tags, professions, description and README. - Filter by type: append `?type=` to the URL. - Filter by profession: append `?profession=` to the URL. Separate several ids with commas; a resource matches when it suits any of them. Ids are listed at https://hebbmind.com/api/v1/professions - Filter by tag: append `?tag=` to the URL. Separate several tags with commas; a resource must carry all of them. Tags are listed at https://hebbmind.com/api/v1/tags Resources for Full-stack / Indie or ML / AI, Tagged `code-review`, `alibaba`: 3 items. > - Full-stack / Indie: General software work: coding-agent workflows, code review, debugging and Git collaboration. > - ML / AI: Model training, evaluation and LLM application development. - [Open Code Review](https://hebbmind.com/plugin/open-code-review.md): [Plugin] Alibaba's open-source AI code review tool: reads the Git diff, groups changed files for parallel review by subagents and returns line-level comments; the plugin adds review and delegated review commands. Install the ocr CLI and configure a model first; delegated mode needs no API key. - [Open Code Review](https://hebbmind.com/skill/open-code-review.md): [Skill] Drives Alibaba's open-source ocr CLI to review Git changes (working tree, a commit or a branch diff), grouping line-level comments by severity and fixing them on request. Needs an LLM endpoint (Anthropic, OpenAI and other protocols); installs the CLI if missing. By Alibaba. - [Open Code Review](https://hebbmind.com/cli/open-code-review.md): [CLI] Alibaba's open-source AI code review CLI (ocr): a deterministic pass filters and groups files and matches rules, then an agent reads the context and writes line-level comments; ocr scan reviews a whole directory. Needs an LLM endpoint, or delegate mode to hand off to your coding agent.