Leveraging advanced language models (LLMs) has become integral to enhancing coding efficiency and accuracy. Aider introduces a groundbreaking approach by separating code reasoning from code editing, utilizing two specialized models to tackle each aspect of the coding process. This bifurcation not only optimizes performance but also leverages the unique strengths of different models to achieve state-of-the-art (SOTA) results in code editing tasks.
Traditionally, solving a coding problem using an LLM involves a single model handling both the reasoning required to devise a solution and the precise editing needed to implement that solution within existing codebases. This dual responsibility can dilute the model's effectiveness, as it must juggle complex problem-solving with meticulous code formatting and syntax adherence.
Aider's innovative approach divides this process into two distinct phases:
- Code Reasoning (Architect Model):