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Overview
Draft maps your repo into a local knowledge graph and turns your ideas into reviewable specs — so your AI agent ships from a plan, not a guess. Spec-first planning, three-stage review, and a 14-dimension bug hunt, in one plugin for Claude Code, Cursor, Codex, opencode, Copilot, and Gemini.
News
Similarity Isn't Relevance: How Draft Retrieves Context by Reasoning, Not Vectors
Vector search returns the chunks that look like your query. Draft's knowledge wiki returns the concepts that actually matter -- by reasoning over a navigable table of contents instead of running a similarity search over embeddings. No vector DB, no chunki
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Vibe-Coding Doesn't Scale. Context-Driven Development Does.
An AI agent with no context writes plausible code that quietly breaks something three files away. It is a context problem, not a model-quality problem -- smarter models just guess more convincingly. Draft gives your assistant the four things a senior engi
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Speed Is the Wrong Axis: Benchmarking Draft's Graph Engine Against grep
We ran Draft's local code-graph engine head-to-head against GNU grep on two real repositories -- a 17K-LOC Rust service and a 221K-LOC polyglot platform. grep is often faster on raw latency. It is also wrong far more often (10% vs 100% hotspot precision)
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Draft v2.6: Graph Engine Upgrade - codebase-memory-mcp Now Powers All Code Intelligence
Draft v2.6 replaces the bundled graph engine with codebase-memory-mcp by DeusData - a tree-sitter + LSP-grade, 159-language, 100% local knowledge-graph engine. No API key, no external service, checksum-verified on install. The /draft:graph command builds
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The Tool Tax: How Claude Code, Cursor, Copilot, and Codex Handle 200 MCP Tools
Loading every MCP tool schema upfront costs 50-140K tokens and breaks selection accuracy past 30-50 visible tools. The four major coding agents converged on the same architectural pattern -- defer schemas, expand on demand -- but shipped four incompatible
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