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Common Lisp's Strengths Highlighted for LLM-Assisted Development
Key points
- LLMs shift development bottleneck to testing and rebuilding.
- Common Lisp offers a fast, image-based feedback loop.
- Debugger allows in-place fixes without program crashes.
- Macros enable language extension for domain-specific solutions.
The Shifting Bottleneck in Development
The advent of Large Language Models (LLMs) has significantly accelerated code writing. This shifts the primary bottleneck in software development from code generation to the subsequent stages of testing, rebuilding, and debugging. The speed of the feedback loop, from making a change to seeing its effect, now dictates development velocity.
Common Lisp's Fast Feedback Loop
Common Lisp minimizes the feedback loop due to its image-based nature, where programs exist as live images in memory. This allows for immediate replacement of functions without requiring a full restart or recompilation, effectively blurring the lines between read-time, compile-time, and runtime.
In contrast to most languages where errors crash a program, Common Lisp opens a debugger, preserving the program state, stack, and variables. This allows an LLM to analyze the debugger output, suggest fixes, and resume execution without a full restart, further accelerating the debugging process.
Metaprogramming with Macros
Common Lisp's foundation in 'List Processing' means code is represented as lists, identical to how data is structured. This allows the language's data manipulation tools to also operate on code. Macros, which are functions that transform code, become possible through this feature.
Macros enable developers to extend the language itself, allowing for the creation of domain-specific languages tailored to particular problems. This capability means developers can build a language suited to their problem domain and then write the program within that custom language.
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Reporting from
This article argues that Common Lisp is the best programming language, especially with the rise of LLMs for code generation. The author highlights Common Lisp's fast feedback loop, robust debugging capabilities, and metaprogramming features as key advantages in an LLM-driven development workflow.