Why Spec-Centered Development with LLMs?
The fundamental rationale behind prioritizing specifications when using AI for code generation. Explains the benefits compared to purely code-centric or ad-hoc AI usage.
Explanations
Provides background information, conceptual understanding, and rationale to help users build a mental model of how LLMs work in the spec-to-code context, why certain practices are recommended, and the broader implications.
- Goal: Help users understand the “why” behind the techniques and tools, fostering deeper understanding rather than just rote application.
How LLMs Process and Generate Code from Text
A simplified, accessible explanation of the underlying mechanisms of LLMs relevant to understanding their behavior in code generation. Avoids deep technical jargon where possible.
The Limitations and Capabilities of LLMs in Coding
A realistic and balanced look at what LLMs are currently good at in the context of software development and where their inherent limitations require human intervention and expertise. Addresses common misconceptions.
The Importance of Validation and Human Oversight
Reinforcing the critical role of human review, automated checks, and testing in the LLM-assisted workflow. Explains why generated code cannot be blindly trusted and the potential consequences of skipping validation steps.
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