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    The way to Construct Repository-Degree Code Intelligence with Repowise Utilizing Graph Evaluation, Useless-Code Detection, Choices, and AI Context

    Naveed AhmadBy Naveed Ahmad16/05/2026Updated:16/05/2026No Comments2 Mins Read
    blog11 2 3


    banner("§12  CLAUDE.md")
    sh("repowise generate-claude-md")
    md = TARGET / "CLAUDE.md"
    if md.exists():
       print(md.read_text()[:4000])
    banner("§13  MCP instruments by way of CLI")
    base = [
       ("get_dead_code",            "repowise dead-code --safe-only"),
       ("search_codebase",          'repowise search "timestamp expiry validation"'),
    ]
    llm_only = [
       ("get_overview",             'repowise query "Architecture overview please"'),
       ("get_context",              'repowise query "Explain signer and serializer modules"'),
       ("get_risk",                 'repowise query "What is risky about changing signer.py?"'),
       ("get_why",                  'repowise query "Why are signers stateless?"'),
       ("get_dependency_path",      'repowise query "How does URLSafeSerializer reach Signer?"'),
       ("get_architecture_diagram", 'repowise query "Produce a Mermaid diagram of the package"'),
    ]
    for title, cmd in base + (llm_only if HAS_LLM else []):
       print(f"n────  {title}  ────")
       sh(cmd)
    if not HAS_LLM:
       print("n(7 of 9 instruments above want an LLM key — set ANTHROPIC_API_KEY and re-run §13.)")
    banner("§14  Graph plot")
    if G shouldn't be None:
       import matplotlib.pyplot as plt
       high = [n for n, _ in sorted(pr.items(), key=lambda x: -x[1])[:40]]
       H = G.subgraph(high).copy()
       sizes = [4000 * pr[n] / max(pr.values()) + 80 for n in H.nodes]
       plt.determine(figsize=(12, 8))
       pos = nx.spring_layout(H, seed=7, okay=0.9)
       nx.draw_networkx_edges(H, pos, alpha=0.25, arrows=False)
       nx.draw_networkx_nodes(H, pos, node_size=sizes, node_color="#F59520", alpha=0.85)
       nx.draw_networkx_labels(H, pos,
           labels={n: Path(n).title if isinstance(n, str) else n for n in H.nodes},
           font_size=8)
       plt.title("itsdangerous — top-40 nodes by PageRank")
       plt.axis("off"); plt.tight_layout(); plt.present()
    print("n✅ carried out.")



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    Naveed Ahmad

    Naveed Ahmad is a technology journalist and AI writer at ArticlesStock, covering artificial intelligence, machine learning, and emerging tech policy. Read his latest articles.

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