Stop Prompting, Start Compiling: The Path to Predictable AI-Generated Code
This article introduces a new approach called Intent Specification Language (ISL) to generate consistent and predictable code using large language models (LLMs). It highlights the limitations of the current
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Why it matters
This approach addresses the fundamental limitations of the current
Key Points
- 1The
- 2 workflow of LLM-generated code leads to inconsistent results due to the inherent ambiguity of natural language prompts.
- 3Prompting is not a methodology - it's a superstition, not a reliable way to engineer software.
- 4ISL is a build system that defines a formal specification for each component, which the LLM then compiles into idiomatic code.
- 5The generated code is a read-only artifact, enforcing alignment between documentation and implementation.
Details
The article argues that the current approach of using LLMs to generate code suffers from the
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