Guides on auto-generated documentation, MCP tools for AI agents, git intelligence, and how repowise compares to other tools.

See how Repowise MCP cut the same refactor to 27× fewer tokens, with transcript and tool-call traces showing the exact savings.

Use leiden community detection to separate hotspots from boundaries in a code graph. Compare it with PageRank and pick the right signal for one repo decision.

Claude Code vs Cursor on one Python import cycle refactor: see the exact prompts, where each agent stalled, and which handled the graph better.

Why the codebase RAG landscape matters less than git history and ownership for a 50-person team. See the 4 questions that cut false leads.

A security review codebase case study on a Python monolith: find 19 hotspots, map ownership gaps, and cut duplicate reads with one review path.

Generate claude.md from repo architecture, ownership, and recent changes with MCP calls. Give Claude Code a day-one brief that cuts guessing.

RAG for code fails when it stops at chunks and vectors. See a 4-layer model with symbols, history, ownership, and a 36% cheaper retrieval path.

Claude Code vs Cursor on one Flask refactor: same prompt, exact edits, and where each agent lost the thread. See the repo context that changed the outcome.

A practical mcp tools design rule: return raw evidence when the model needs to inspect files, symbols, or decisions. See the boundary in Repowise.

Graph aware mcp cuts grep loops: resolve callers, dependents, and review impact in one hop. See the token and latency math.

See mcp tools design on a real regression: task-shaped tools cut re-reading and context loss, with 49% fewer calls and 27× fewer tokens.

Code hotspot detection as ranking, not a linter: Pagerank plus git history sorted quiet files from risky ones, so you can ignore the right 3.