The author introduces IPL (Intent Programming Language), a minimalist domain-specific language designed to enforce deterministic code generation from large language models by constraining the expression space. This approach aims to eliminate stochastic issues like hallucinations and architectural over-engineering while reducing development costs.
- IPL uses a strictly reduced grammar with core action primitives, allowing basic or local LLMs to translate natural language into .ipl files zero-shot.
- Business logic is isolated in a human-readable intermediate artifact, decoupling it from the target tech stack.
- The system supports multi-file .ipl structures for orchestrating complex architectures across heterogeneous stacks.
- Constrained transpilation locks the lexical scope, preventing LLMs from hallucinating exotic architectures and ensuring reliable code output.
The tool acts as a deterministic bridge between human intent and executable code, supporting targets such as Rust, Go, Java, Python, JavaScript, TypeScript, and HTML.