A product discussed on AI Engineer.

Full Spec MCP: Hidden Capabilities of the MCP spec — Harald Kirschner, Microsoft/VSCode
Jul 18, 2025 · 14:53
Harald Kirschner from Microsoft/VSCode argues that MCP's full specification unlocks powerful stateful interactions beyond the common 'tools-only' implementations, transforming AI assistants into more contextual and efficient agents. He highlights underused primitives like resources for rich data context and sampling for server-requested LLM completions, demonstrated via a dungeon game where dynamic tool discovery adapts to game state. VS Code's upcoming full spec support includes dynamic tool discovery, user-defined tool sets, a debug mode for server development, and support for streamable HTTP to reduce stateful server churn. Upcoming features like elicitations will allow tools to request user input directly. Kirschner calls on developers to build progressive, full-spec servers and contribute feedback to the open ecosystem, emphasizing that client and SDK support will follow as usage grows.

GPT Web App Generator - 10,000 apps created in a month: Matija Sosic
Jan 26, 2024 · 9:23
Matija Sosic, CEO and co-founder of Wasp, demonstrates how his team built mage, a GPT-powered full-stack web app generator that produced over 10,000 applications in one month. Mage specializes in generating React, Node.js, Prisma, and Wasp apps from plain English descriptions, thanks to three key factors: specialization in full-stack web apps, leveraging Wasp's high-level declarative configuration to reduce boilerplate and errors, and an automated error-fixing phase. A typical app uses 25,000 to 60,000 tokens and costs 10 to 20 cents by combining GPT-3.5 for implementation and GPT-4 for planning, versus $1–$2 with GPT-4 alone. Mage serves as a highly customized cross-starter, with current limitations around lack of interactive debugging, which is planned next. Future directions include live debugging and potentially fine-tuning an LLM for Wasp.
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