Show HN: Artiforge – Build with AI in "easy mode" (artiforge.ai)

Artiforge is a newly announced AI Development Toolkit that promises to make building with LLMs “easy mode” by integrating code authoring, documentation, and workflow optimization into IDEs. Setup is quick: sign up to generate a personal access token, install Artiforge’s MCP (Model Context Protocol) plugin in supported IDEs (examples cited: Cursor, Windsurf), and start chatting with an LLM to generate features, docs, and deployable plans. Core components include an orchestrator for turning simple prompts into multi-agent plans and workflows, an agent documentation generator that produces guides and API references from your codebase, and a scanner that runs AI-powered code analysis to surface vulnerabilities, code smells, and optimization opportunities. There’s a 15‑day free trial with 80 credits and tiered plans for hobbyists through enterprise users. For AI/ML practitioners this matters because it bundles several friction points—context sharing, prompt engineering, multi-agent coordination, and documentation—into an IDE-centered workflow, potentially improving developer productivity and reproducibility. Technically, MCP-based integration aims to preserve model context across tools, orchestration automates multi-agent sequencing, and the scanner suggests security/quality fixes, which could accelerate MLOps and secure coding cycles. Trade-offs to watch include access/token management, model reliability, and vendor lock‑in, but for teams wanting faster iteration on model-infused features, Artiforge is positioned as an all-in-one developer UX for LLM-enabled software.