https://www.all-hands.dev/blog/vibe-coding-higher-quality-code
In the realm of software development, the integration of coding agents has become increasingly prevalent. A question often posed is: How can we effectively vibe with coding agents while ensuring high standards of code quality?
Over the past year, I have transitioned approximately 95% of my development work from manually writing code to employing coding agents. This document outlines several strategies that I have found effective in collaborating with these agents while maintaining code integrity.
Our team is currently engaged in the development of a sophisticated coding agent known as OpenHands. More information about this project can be found at OpenHands. The project encompasses a complex architecture featuring a Python backend, a TypeScript frontend, and extensive use of Docker technologies. Thus, maintaining code quality is of paramount importance.
To ensure code quality, it is advisable to lean heavily on static analysis tools. For instance, when working with a weakly typed language such as Python, employing type annotations and utilizing tools like mypy or pyright for type checking can be beneficial. Additionally, linting with a tool such as ruff and implementing pre-commit hooks ensures that the agent does not overlook any coding standards.
Adopting a test-driven development (TDD) approach is crucial. Coding agents can sometimes produce code that does not adequately address the underlying issue. By instructing them to write tests prior to any code modifications, the outcomes tend to be significantly improved.
The use of continuous integration (CI) is essential for maintaining code quality. This practice guarantees that tests are executed with every pull request. Coding agents can be tasked with monitoring GitHub Actions and addressing any bugs that arise as a result of these tests.
Each repository may possess unique requirements and rules. Therefore, it is beneficial to customize prompts and setup scripts tailored to the specific needs of your repository. This ensures that the coding agent operates within the appropriate context.
In large software projects, code reviews are a standard practice. When collaborating with coding agents, I recommend a two-tiered code review process. Initially, the individual who invokes the agent should review the agent's code as a draft pull request. Subsequently, a second reviewer should assess the complete pull request to ensure thorough evaluation.
The aforementioned strategies represent an initial list of practices that can enhance code quality when working with coding agents. I welcome any feedback on these techniques or suggestions for additional strategies. For a more comprehensive exploration of these topics, please refer to my blog post available at Vibe Coding for Higher Quality Code.
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