Packages reusable GitHub Copilot building blocks — agents, prompts, instructions, and skills — to make AI-assisted coding repeatable and standards-aligned for a team. Built around an RPI (Research, Plan, Implement) workflow in VS Code.
Provides adaptive workflow steering rules for AI coding agents to guide development across Inception, Construction, and Operations phases. Includes opt-in extensions (security, testing), IDE/agent integrations (Cursor, Kiro, Amazon Q, Copilot, Claude), and human-in-the-loop approval points.
Provides 2 million synthetic, expert-verified coding examples with step-by-step reasoning and executable solutions for fine-tuning instruction-following and code-generation models. Curated through multi-stage filtering and automated test validation to prioritize correctness and reasoning.
Shows per-provider usage meters, credit balances, and reset countdowns for AI coding providers directly in the macOS menu bar. Privacy-first design reuses existing sessions (OAuth, cookies, API keys) and includes a CLI, widgets, live status badges, and optional cost/spend charts across 50+ providers.
Extracts local chat logs, code context, diffs, and tool outputs from AI coding assistants and exports them as ML-ready JSONL. Auto-discovers common storage locations and handles SQLite/JSONL formats; scan extracted files for secrets before sharing.
Provides an IntelliJ IDEA plugin that embeds both Anthropic Claude Code and OpenAI Codex into the IDE — conversation-aware code assistance, @file context, session management, agent/skills commands, and provider switching for in-IDE AI coding workflows.
Provides an in‑IDE interface for IntelliJ IDEA to interact with Anthropic Claude Code and OpenAI Codex for AI-assisted coding. Supports dual-engine switching, file-aware context, session history, agent skills, MCP extensions, and security/permission controls.
Runs several AI coding agents — Claude Code, Codex, OpenCode — in parallel from one keyboard-driven desktop app, each on its own Git worktree. Playbooks batch markdown checklists, group chat coordinates agents, and a web server enables remote control.
A configuration layer for the OpenCode and Codex CLI coding agents. One install adds specialized sub-agents, lifecycle hooks, and bundled MCP servers — web search, docs lookup, code search — turning a bare agent into a harness for large codebases.
Coordinates multiple AI coding agents and persists work state in git-backed hooks; provides convoy-based work tracking, an AI coordinator (Mayor), agent lifecycle/watchdog tooling, and a merge/refinery workflow for reliable multi-agent code work.
Equips AI coding assistants like Claude Code and Cursor with 75+ executable tools, an MCP server, reusable skills, and a Python library to build on Databricks—Spark pipelines, jobs, dashboards, Unity Catalog resources, and ML workflows—from your editor.
Runs LLM-driven coding agents as durable workflows on Vercel, orchestrating isolated sandbox VMs for repo work, shell and file tools, and optional auto-commit/PR flows — designed for cloud-hosted, resumable developer automation.