{"adoption": {"forks": 410, "observed_at": "2026-08-28T04:05:46.899804+00:00", "stars": 1872}, "canonical_url": "https://ross.abutalabs.com/products/ai-dev-kit", "card": {"archived": false, "artifact_type": "plugin", "description": "Databricks Toolkit for Coding Agents provided by Field Engineering", "domain": ["developer-tools", "artificial-intelligence", "large-language-models"], "enriched": true, "function": ["mcp", "agent-framework", "developer-tools", "cli", "sdk"], "health_score": 98, "homepage": null, "language": "Python", "license": "NOASSERTION", "license_family": "other", "maturity": "active", "member_repos": ["databricks-solutions/ai-dev-kit"], "name": "databricks-solutions/ai-dev-kit", "platform": ["python", "cli", "cross-platform"], "pushed_at": "2026-08-13T05:16:28+00:00", "repo": "databricks-solutions/ai-dev-kit", "stars": 1872, "tags": ["databricks", "coding-agents", "claude", "cursor", "vibecoding", "skills", "mcp-server", "field-engineering", "ai-agents", "data-engineering"], "topics": ["agents", "claude", "cursor", "databricks", "vibecoding"], "urls": [], "use_cases": ["set up claude code or cursor to work with databricks", "install databricks skills for my coding agent", "run an mcp server that connects agents to databricks", "teach an ai agent about databricks asset bundles and genie", "bootstrap a vibecoding environment for lakebase and spark pipelines", "find experimental databricks developer tools from field engineering"], "what_it_is": "A Databricks Field Engineering toolkit that provides skills, an MCP server, and a Builder App for AI coding agents working with the Databricks platform. Its skills have largely graduated into the official Databricks AI Tools distributed via the Databricks CLI, with this repo remaining as an installer, guide, and home for experimental tools.", "when_to_avoid": ["you only need the official, engineering-supported skills - install Databricks AI Tools via the databricks CLI instead", "you need a fully supported MCP server with guaranteed maintenance - it is best-effort here", "you want a general-purpose agent framework unrelated to databricks"], "when_to_choose": ["you use coding agents like claude or cursor against databricks and want curated skills and MCP integration", "you want guided onboarding for agent-driven databricks development", "you want to try experimental field-engineering tools before they graduate to official releases"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/ai-dev-kit", "repo": "databricks-solutions/ai-dev-kit", "role": "main", "score": 80}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:05:46.899804+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T03:14:57.589661+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "9b454adf383501c3af9f9c760b928914dfe81d9552966053a46bddf8bd23a3fc", "fetched_at": "2026-08-28T04:05:46.899804+00:00", "kind": "readme", "missing": false, "url": "https://github.com/databricks-solutions/ai-dev-kit"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:05:46.899804+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T03:14:57.589661+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "9b454adf383501c3af9f9c760b928914dfe81d9552966053a46bddf8bd23a3fc", "fetched_at": "2026-08-28T04:05:46.899804+00:00", "kind": "readme", "missing": false, "url": "https://github.com/databricks-solutions/ai-dev-kit"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T03:14:57.589661+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "9b454adf383501c3af9f9c760b928914dfe81d9552966053a46bddf8bd23a3fc", "fetched_at": "2026-08-28T04:05:46.899804+00:00", "kind": "readme", "missing": false, "url": "https://github.com/databricks-solutions/ai-dev-kit"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:05:46.899804+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:05:46.899804+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:05:46.899804+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T03:14:57.589661+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "9b454adf383501c3af9f9c760b928914dfe81d9552966053a46bddf8bd23a3fc", "fetched_at": "2026-08-28T04:05:46.899804+00:00", "kind": "readme", "missing": false, "url": "https://github.com/databricks-solutions/ai-dev-kit"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:05:46.899804+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:05:46.899804+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T03:14:57.589661+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "9b454adf383501c3af9f9c760b928914dfe81d9552966053a46bddf8bd23a3fc", "fetched_at": "2026-08-28T04:05:46.899804+00:00", "kind": "readme", "missing": false, "url": "https://github.com/databricks-solutions/ai-dev-kit"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:05:46.899804+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:05:46.899804+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:05:46.899804+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T03:14:57.589661+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "9b454adf383501c3af9f9c760b928914dfe81d9552966053a46bddf8bd23a3fc", "fetched_at": "2026-08-28T04:05:46.899804+00:00", "kind": "readme", "missing": false, "url": "https://github.com/databricks-solutions/ai-dev-kit"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:05:46.899804+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:05:46.899804+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T03:14:57.589661+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "9b454adf383501c3af9f9c760b928914dfe81d9552966053a46bddf8bd23a3fc", "fetched_at": "2026-08-28T04:05:46.899804+00:00", "kind": "readme", "missing": false, "url": "https://github.com/databricks-solutions/ai-dev-kit"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T03:14:57.589661+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "9b454adf383501c3af9f9c760b928914dfe81d9552966053a46bddf8bd23a3fc", "fetched_at": "2026-08-28T04:05:46.899804+00:00", "kind": "readme", "missing": false, "url": "https://github.com/databricks-solutions/ai-dev-kit"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T03:14:57.589661+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "9b454adf383501c3af9f9c760b928914dfe81d9552966053a46bddf8bd23a3fc", "fetched_at": "2026-08-28T04:05:46.899804+00:00", "kind": "readme", "missing": false, "url": "https://github.com/databricks-solutions/ai-dev-kit"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T03:14:57.589661+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "9b454adf383501c3af9f9c760b928914dfe81d9552966053a46bddf8bd23a3fc", "fetched_at": "2026-08-28T04:05:46.899804+00:00", "kind": "readme", "missing": false, "url": "https://github.com/databricks-solutions/ai-dev-kit"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 97, "longevity": 18, "rhythm": 95}, "computed_at": "2026-09-03T02:20:16.233290+00:00", "flags": ["no_license"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 260, "days_push": 20, "days_rel": 36, "gap_med": 6.5, "n_releases_24m": 17}, "score": 80, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}