code assistant

OpenRig is a local control plane for multi-agent coding topologies. It uses a YAML-based rig spec to boot, inspect, snapshot, restore, and visualize agent fleets, with examples like product teams, adversarial review, research clusters, and secrets management.

Kimi WebBridge is a browser extension that lets AI agents click, fill forms, navigate, screenshot, and extract data in Chrome or Edge while running locally on the user’s device.

A public leaderboard that ranks GitHub, GitLab, and Bitbucket repos by how friendly they are to AI coding agents such as Claude Code, Cursor, Devin, Codex, Gemini, Aider, and OpenHands.

A TypeScript SDK for browser-native AI APIs and WebMCP, with composable wrappers, streaming, AbortSignal handling, and optional React hooks.

Command Center is a local AI coding environment focused on helping developers run multiple coding agents, review large diffs, and turn AI-generated edits into cleaner, production-ready code.

A file-backed workflow for resumable coding-agent projects, using Markdown records, a CLI, and bundled workflow skills to keep project state on disk instead of in chat.

Open-source, local MCP-based context layer for AI coding assistants. It scans a codebase, builds a behavioral graph, and aims to improve architectural understanding while reducing input-token use on large repos.

An agent-first web browser for automating web tasks, with Playwright integration and a CLI for browser control, page inspection, screenshots, navigation, and file actions.

Kit is a developer workspace that combines an editor, Chromium browser, terminal, email, calendar, whiteboard, and autonomous agent with shared AI context across the whole environment.

A CLI for structural code search and refactoring using AST patterns instead of regex. It supports find, replace, delete, and insert workflows, with examples for method renames, logging removal, and code inserts across files.

A free AI-readiness audit tool for Shopify catalogs that scores product visibility for AI shopping agents and flags catalog issues like weak titles, short descriptions, missing attributes, and sparse images.

A black-box benchmark report on how AI-generated tests detect functional bugs in live APIs across 20 scenarios and 7 systems.

Lowdefy is a config-first web stack that lets AI generate reviewable YAML for full-stack apps and can run AI agents that call existing endpoints as tools.

A Mac menu bar app that schedules Claude Code prompts to run later on the user’s Mac, using local files, skills, and CLI tools. Results post back when the job runs.

A workbench report comparing MiniMax M3 and GLM 5.2 on autonomous coding tasks, with scored results, latency and cost data, task-type breakdowns, and examples of where each model performed better.

CtxVault is an open-source receipt layer for governed AI context. It shows what evidence was selected, caveated, blocked, omitted, and how a context packet can be audited or rolled back.

Autolang is a scripting language and compiler for AI agent code, designed to run untrusted AI-written scripts in a controlled environment with restricted access to registered functions.

A docs index page for Claude Code that maps the documentation structure and links to major sections like getting started, core concepts, tools, automation, and deployment.

AIllowpages is an AI tools search engine with 2,500+ curated tools, category filters, instant search, and an AI helper that suggests tools from a user’s goal.

TokenScale is a browser-based AI API pricing explorer that compares 16 providers, converts token costs into familiar real-world examples, and shows how batch, cache, and conversation length affect spend.

GitHub Blog article on reducing token usage and API cost in agentic coding workflows, including logging token usage, removing unused MCP tools, replacing GitHub MCP with GitHub CLI, and measuring efficiency gains.

Pu.sh is a lightweight coding-agent harness delivered as a shell script. The page shows a direct install-and-run flow, a no-dependency setup, and links to GitHub, docs, and an MIT license.

A public visualization that tracks flagship AI models’ Elo history over time using the Arena AI Leaderboard dataset, with notes on caveats and methodology.

Anthropic research report on how people use Claude Code in practice, based on a large privacy-preserving analysis of session data. It covers task types, division of labor between user and model, and how domain expertise affects outcomes.