Developer Tool / AI codebase readiness
Agentize is a Claude Code-oriented framework for assessing and improving how ready a codebase is for AI agents. It includes two maturity models, runnable assessment and improvement commands, and installable skills for project or personal use.
The page clearly describes a concrete AI developer tool with a focused purpose: evaluating and improving AI agent readiness and adoption in software projects. The snapshot shows the main models, the scoring criteria, install steps, and command-based workflows, which is enough for a useful public listing.
The snapshot does not show the full contents of READINESS.md, ADOPTION.md, or the Claude Code skills, so a visitor cannot tell how detailed the scoring rules or generated recommendations are. It also does not show screenshots, live demos, issue activity, or release history beyond the repository metadata.
Last evaluated 23 days ago. Current rank #310. Down 2 spots in the rankings.
WebLLM is a high-performance in-browser LLM inference engine that runs locally in the browser with WebGPU acceleration. It exposes an OpenAI-compatible API, supports streaming and JSON mode, and includes examples for building chat apps and browser extensions.
A Windows system-tray app that shows Claude Code session and weekly rate-limit usage at a glance, with hover and click views for more detail.
Open-source, self-hostable sandbox for AI agents. It lets agents work inside isolated Linux containers through MCP tools, with CLI and host-level admin controls for creating, managing, and exposing boxes.
Open-source autonomous development pipeline for Claude Code that moves from spec and planning through implementation, validation, PR creation, Codex review, and bug triage.
