Claude Code is an interface/runtime for running code-oriented or agentic AI models and agents. Recent coverage highlights its use inside the AgentsDock IDE alongside Codex and Cursor, and its role in a ModelRift benchmark where agents driven via Claude Opus 5 produced printable STLs for CadQuery vs OpenSCAD agentic CAD tasks.
Panel is a local research workspace combining chat, files, PDFs, Markdown and Jupyter panes where an agent can read/write files and create custom viewers or apps. It requires Python 3.12+ and Claude Code for full features, runs at http://localhost:4173, and stores data in ~/Panel/panel.db and ~/Panel/workspaces. This is an early tester build with rough edges.
Ordewell turns one goal into an editable, typed plan of tasks where each task has its own runner, model, and mode and only completes when a unique completion marker appears. Plans can be rewritten before tokens are spent, preserve completed work, and support multiple runners (built-in Claude Code, Codex, OpenCode). Requires Node.js ≥20 and the TUI needs tmux.
AgentsDock is an IDE for agentic AI research that lets users run Claude Code, Codex, Cursor and other agents side‑by‑side on desktop and mobile. It supports connecting multiple servers, inline plots and renderings in chats, remote file editing, and persistent tmux sessions; installation is documented on GitHub.
ModelRift ran a controlled comparison of OpenSCAD versus CadQuery (OpenCascade B-rep) for fully agent-driven CAD tasks. Six agents solved three tasks using Claude Opus 5 through Claude Code; all resulting STLs were printable, but the tools differ in how they fail. Tests used CadQuery 2.8.0 on Python 3.14 and OpenSCAD 2026.06.12 on an M-series Mac; output sizes were ~13.1 KB for CadQuery and ~12.4 KB for OpenSCAD.
The open-source graphify-csharp is a headless Roslyn/MSBuild indexer that emits deterministic JSON semantic graphs, giving coding agents compiler-resolved callers, references, implementations, and inheritance. It is MIT-licensed, requires no IDE or database, and includes install and indexing commands.
Discussion on HN examines RTK (Rust Token Killer), which compresses terminal output to reduce tokens read by AI agents; despite README claims up to 90% reduction, JetBrains’ SkillsBench and independent benchmarks found little or no cost savings.
OtoDock 1.6.0 was released: a self-hostable company OS supporting multi-tenant agent collaboration, running with Anthropic/OpenAI or local models, free up to 5 users under a Fair Source license.
Geiger released npx geiger-scan, a one-command, read-only tool that inventories AI agents, plugins, and credentials on a machine, reporting which can execute code, access files, or use the network without telemetry.
That is everything