The Prompt Foundry extension for VS Code and Cursor has been introduced, allowing developers to build complex instructions from reusable blocks and utilize dynamic context to improve AI accuracy.
What Happened
Prompt Foundry has been released as an extension for VS Code and Cursor, as well as a TUI interface for terminal use (e.g., with Claude Code). The system uses Liquid syntax to handle dynamic variables and includes a built-in MCP server, allowing the AI to independently update context libraries and architectural notes based on the current session.
Context
The problem of AI "forgetfulness" and context window pollution when working with large codebases necessitates a shift from one-off text snippets to structured knowledge management systems. Utilizing the Model Context Protocol (MCP) enables a feedback loop where prompt engineering evolves into a process of managing a self-updating project knowledge base.
Why It Matters for the Industry
The project demonstrates a significant trend: the industry's transition from static prompt writing to dynamic "living" context management. This lays the groundwork for ecosystems where MCP becomes the standard for transferring knowledge between development tools and LLMs, turning instructions into modular components of the software development lifecycle.
Why It Matters for Users
Developers gain a way to combat context degradation and improve code generation quality by adhering to architectural patterns. The tool allows for the rapid assembly of precise instructions from verified templates and automatically saves important architectural decisions, reducing the time spent preparing context for AI agents.
What Is Not Yet Known / Limitations
In large-scale corporate deployments, questions regarding data security and the need for strict access control may arise when using self-updating prompt libraries.
Sources
Author
Look at AI, Editorial Team