# A minimalist DSL to enforce deterministic code generation with LLMs

> Source: <https://discuss.huggingface.co/t/a-minimalist-dsl-to-enforce-deterministic-code-generation-with-llms/179149#post_1>
> Published: 2026-08-23 15:36:02+00:00

Hi everyone,

When integrating LLMs into production pipelines, we often face stochastic issues: hallucinations, architectural over-engineering, and a lack of reproducibility. Instead of stacking layers of fragile prompt engineering, I approached this from a language design perspective: **constraining the expression space to enforce determinism.**

I designed **IPL (Intent Programming Language)** with a pragmatic goal: **making software generation reliable while drastically cutting development costs and cycles.**

To build this minimalist DSL, I leveraged an LLM to help identify and structure a universal, irreducible core vocabulary designed to serve as a deterministic bridge between human intent and executable code.

**Minimal Grammar:** A strictly reduced syntax with core action primitives and standardized types. The structure is lightweight enough that **any basic or local LLM** can translate natural language into an `.ipl`

file zero-shot.

**Separation of Concerns:** Business logic is isolated in a human-readable, auditable intermediate artifact, completely decoupled from the target tech stack.

**Multi-File & Heterogeneous Stacks:** Multi-file `.ipl`

support allows orchestrating complex architectures mixing different backend and frontend layers.

**Constrained Transpilation:** By locking the lexical scope, the LLM cannot hallucinate exotic architectures. It acts purely as a reliable transpilation engine.

**Natural Language Intent:**

*“If the order exceeds 100 €, apply a 10% discount and notify the customer.”*

**Intermediary Intent Contract ( .ipl):**

*(Generated by a basic LLM or written manually)*

```
read order.total as number
if order.total > 100:
    compute discount = order.total * 0.10
    send notification to order.customer_id
```

**Target Code Generation:**

From this validated contract, the model transpiles deterministic, idiomatic code across various targets — backend (**Rust, Go, Java, Python**), frontend/integration (** JavaScript, TypeScript, HTML**), or hybrid stacks.

The repository includes the specification, parser logic, and the Studio IDE interface:

I would love to hear your thoughts, feedback, or critiques on this constraint-first approach to LLM-driven development!