Pre-commit lint checks: Vibe coding's kryptonite (www.getseer.dev)

In a candid reflection on AI-assisted coding, a developer detailed their experience with 523 lint violations that emerged after running a pre-commit hook on what was considered production-ready code. The violations highlighted common issues such as excessive line length, broad exception handling, and duplicate code, raising concerns about maintainability within AI-generated code. Research from GitClear indicated that while developers felt 20% more productive using AI tools, cleanup work took an additional 19% more time, underscoring a significant productivity paradox. The author argued that relying on AI without stringent quality controls leads to technical debt that compounds over time. To address these challenges, the developer proposed a "zero-trust" approach to linting, making configuration files immutable and requiring explicit reviews for any changes. They advocated for the combined use of modern linting tools like Ruff for speed and Pylint for deep analysis to maintain code quality. Emphasizing a cultural shift, the developer concluded that while AI tools can accelerate code generation, disciplined practice and enforced constraints are essential to avoid the pitfalls of "vibe coding," where superficial coding speed compromises long-term maintainability. This discussion calls attention to the critical need for robust guardrails in AI-driven development environments to foster sustainable coding practices.