Cody by Sourcegraph

Cody predicts and suggests code as you type, which significantly reduces the amount of boilerplate and accelerates development. Performance varies based on codebase size; however, users report a notable reduction in coding time, particularly for repetitive tasks. Cody's suggestions become more accurate with context over time.

Cody can generate code snippets, functions, or even entire files from natural language prompts. Simple functions are often generated accurately, while complex logic may need refinement. Iterative refinement and human review may be required for the best results, but overall, code generation is a useful feature for boosting productivity.

Cody excels at searching through large codebases by understanding code semantics. This makes finding relevant snippets and definitions far more efficient than traditional text-based searches. Search speeds are generally very fast, even with massive codebases, making it a valuable tool for navigating complex projects.

Cody explains complex code blocks in natural language, which aids in understanding unfamiliar code and helps onboard new team members faster. These explanations are generally accurate and helpful, improving code comprehension speed. This feature is particularly beneficial when dealing with intricate or poorly documented code.

Cody can automatically generate unit tests for existing code, which helps improve overall code quality and reduce the number of bugs. While the quality of generated tests can vary and may require manual adjustments, improvements to code coverage are typically significant, enhancing the reliability of the codebase.