/GRAFT Skill + Astra: THIS IS ABSOLUTELY CRAZY!
In this video, I’ll show you how Graft works with Verdent to help AI coding agents understand codebases more efficiently. We’ll build a structural code graph, investigate a permissions bug, trace function relationships, apply a fix, refresh the graph, and verify everything with tests.--
Key Takeaways:
🧠 Graft builds a queryable code graph containing functions, imports, and relationships across your project.
🔑 The structural graph works without an AI provider key or a separate database server.
🤖 Verdent can use the Graft CLI to investigate code, inspect files, make edits, and run tests.
🔍 Graft queries and skeleton views help agents find implementations, inspect APIs, and trace function callers.
🐛 In the demo, Graft helps identify a missing export permission check in a document service.
🔄 Graft can detect stale graph data and automatically refresh changed files after an edit.
✅ The final tests confirm that viewers can still read documents but cannot export them without permission.
📊 Graft also provides an interactive visualization for exploring dependencies across a codebase.
⚠️ Static analysis and token-saving estimates have limitations, so graph results should still be verified with source inspection and tests.
👍 Overall, Graft provides useful structural context that can make AI-assisted coding workflows more focused and efficient. Receive SMS online on sms24.me
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