നിങ്ങളുടെ AI കോഡിന്റെ 70% ടോക്കണുകൾ പാഴാക്കുന്നു - (Fix in 5 Min)|Tool Turns Code to Knowledge Graph

Your AI assistant is reading your entire codebase every single time you ask
a question. Graphify fixes that — it builds a queryable knowledge graph of
your project once, and from then on your AI queries the graph instead of
re-scanning every file. Up to 27x fewer tokens. Faster, more accurate answers.

In this video I install Graphify from scratch on my Next.js travel agency
project (Horizons Travel) and walk through every command — build, query,
path, explain, update, and the bonus features most tutorials skip.

Works with Claude Code, Cursor, Codex, Gemini CLI, VS Code Copilot, Aider,
and 10+ more AI coding tools.

🔗 Graphify (53K+ ⭐ on GitHub): https://github.com/safishamsi/graphify
📦 Install: uv tool install graphifyy (double Y on PyPI — important!)
🐍 Requires: Python 3.10+ and UV

#ClaudeCode #Graphify #AITools

─── WHAT YOU'LL LEARN ────────────────────────
✅ Why your AI wastes 70% of its tokens on large codebases
✅ How to install Graphify in under 5 minutes (2 steps, not 1)
✅ Building a knowledge graph from any project — one command
✅ Querying your codebase with /graphify query, path, and explain
✅ Auto-updating the graph on every git commit
✅ Exporting to Obsidian, Neo4j, SVG, and Markdown wiki
✅ Running Graphify as an MCP server for custom AI agents

─── TIMESTAMPS ───────────────────────────────
00:00 The 47-file problem
00:25 What Graphify actually is
01:37 The real problem (horizons-travel walkthrough)
03:25 Install: Python + UV
04:13 Step 1: uv tool install graphifyy
04:35 Step 2: graphify install (don't skip this)
06:18 Building the graph live demo
06:57 Reading the output: graph.html, report, JSON
07:49 Graph output
08:57 Query command
10:19 Path command
11:01 Explain command
11:48 Keeping the graph fresh (--update & git hooks)
14:02 Outro

─── DEMO CODEBASE ────────────────────────────
The project used in this video is Horizons Travel — a Next.js 14 travel
agency app I built. Real folder structure, real API routes, real components.
Nothing fabricated.

─── TOOLS MENTIONED ──────────────────────────
- Claude Code (Anthropic) — primary AI coding agent
- Cursor — AI-first code editor
- Codex CLI (OpenAI)
- Gemini CLI (Google)
- VS Code Copilot (GitHub)
- Aider — terminal AI pair programmer
- UV — fast Python package manager (Astral)
- Obsidian — knowledge management
- Neo4j — graph database

─── CONNECT ──────────────────────────────────
If this saved you time, hit subscribe — more tutorials like this every week.
Drop a comment with the most surprising connection Graphify found in YOUR
project. Genuinely curious.

─── TAGS ─────────────────────────────────────
#ClaudeCode #Graphify #AITools #Cursor #AICoding #DeveloperTools #NextJS
#LLM #KnowledgeGraph #VibeCoding #CodingTutorial #Anthropic #MCP #AIAgents
#ClaudeAI #GeminiCLI #Codex #TechMalayalam #malayalamtechnology
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Видео നിങ്ങളുടെ AI കോഡിന്റെ 70% ടോക്കണുകൾ പാഴാക്കുന്നു - (Fix in 5 Min)|Tool Turns Code to Knowledge Graph канала CodeEase with Anu