Graphicle is a single Rust program that builds a code graph and project memory to give coding agents precise, cited context from a codebase. It indexes files, functions, calls and imports (using tree-sitter), captures agent sessions and documents, and serves ranked, line-and-file-anchored excerpts so models can answer without re-reading whole repositories. It runs locally with no account, API key or telemetry, stores everything in one SQLite file, and supports Claude Code, Codex, Cursor, VS Code and any MCP client. Common commands include graphicle setup, ask, context, graph extract, open (web UI), doctor and disconnect; setup adds MCP hooks and backs up changed files, and disconnect undoes the changes.
Operational specifics emphasize speed, privacy and maintainability: a 0.1.0 Rust engine processed ~31k Kubernetes files in 3m18s versus 26m38s for Graphify 0.9.88 on comparable hardware. Graphicle syncs changed files before each answer, ties reviewed memories to the specific code they reference (so memories go stale when code changes), and asks for human approval before recording new memories. It exposes Graphify-style MCP tools (query_graph, get_neighbors, shortest_path) and can span multiple repositories in a workspace. Install options include Homebrew or an install script; native Windows support is planned.
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Anthropic's revenue increased to $16.8 billion in the third quarter, and the company claims to be profitable. The company is known for developing AI models and safety-focused AI technology. (ft.com)
TypeSafe AI releases Jev 1.14.0 with experimental features like multimodal images, a new 'box' type, and extended context lengths, accessible under 'danger zone' flags. These features are designed for builders and dreamers to experiment with, but are not yet recommended for production use due to their jaggedness and ongoing improvements. (typesafe.ai)
Qwen 27B is being run at around 20 tokens per second on a jailbroken PS5's GPU by a Reddit user. This demonstrates the potential for gaming consoles to be used for AI workloads. (reddit.com)
Anthropic and OpenAI have generated significant revenue from their AI technologies, surpassing expectations. They face challenges in managing their newfound wealth and deciding how to allocate it effectively. (wsj.com)
Linus Torvalds has released his first patch series for the Linux kernel using assistance from a large language model. The approach integrates AI to help with code development and review processes. (lwn.net)
AI systems' ability to generate truthful and reliable information is examined, focusing on their strengths and weaknesses. The discussion considers how AI handles complex, ambiguous, or misleading data when telling the truth. (theconsensus.dev)
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