Vibe Coding Senior Devs as AI Babysitters?

The rise of AI coding assistants has brought a new reality for senior developers becoming AI babysitters. They spend a significant portion of their time reviewing and correcting AI-generated code. But despite the challenges, many believe this new role is valuable.

The Rise of AI Coding Assistants

1. Speed & Productivity Gains
   • GitHub found in studies that using Copilot can make developers code up to 55% faster in certain tasks. The GitHub Blog
   • Public sector studies e.g. GovTech Singapore saw improvements in coding task speed of 21-28% when using Copilot for routine tasks and refactoring.
   • In real-world project settings Copilot helps not just with boilerplate and autocompletion but also with debugging writing unit tests which can save 30-40% of time in some repetitive tasks.
2. Code Quality Readability & Developer Confidence
   • A GitHub study found that code with Copilot had higher pass rates for unit tests better readability more maintainability and fewer readability errors.
   • Developers reported feeling more confident when using Copilot and said coding feels more in flow less friction.
3. Adoption & Daily Use
   • Many teams organizations are using Copilot regularly in one study 67% of developers used it at least 5 days per week.
   • It isn’t just for novices senior and core developers see benefits especially in open source or projects where familiarity with the codebase helps them use suggestions more effectively.
4. Limitations & Situations Where It Struggles
   • Copilot and similar tools can underperform with very large complex codebases or when working across many files. Context-management understanding architecture or keeping track of dependencies remains challenging.
   • Also sometimes suggestions are wrong bugs missing edge cases or not optimal in terms of security performance. Developers still need to review test refactor.
5. Developer Satisfaction & Workflow Changes
   • Many devs say they enjoy coding more with AI help especially for grunt work tasks documentation boilerplate searching for examples etc.
   • The daily workflow is shifting: less time spent looking up syntax or standard patterns more time on higher-level logic architecture design.

While AI can boost productivity it’s not perfect. Senior developers now find themselves spending considerable time:

• Reviewing Code: Checking AI-generated code for errors bugs and security vulnerabilities.
• Debugging: Fixing the mistakes made by AI which can sometimes be subtle and hard to detect.
• Ensuring Quality: Making sure the AI-generated code aligns with project standards and best practices.

The downside is that time spent babysitting could be used for higher-level tasks like architecture design or mentoring junior developers. However many argue that this role is still valuable.

Why It’s Worth It

Despite the challenges senior developers see several benefits in their new role:

• Improved Code Quality: Reviewing AI code catches errors early and prevents future issues.
• Knowledge Transfer: The review process can teach junior developers valuable skills.
• Faster Development: AI can speed up the coding process even with the added review time.
• Focus on Innovation: AI handles repetitive tasks freeing up developers to focus on more creative work.

The Future of Vibe Coding

As AI coding assistants continue to improve the role of senior developers will likely evolve. They might focus more on:

• Training AI Models: Helping to improve the AI’s coding abilities.
• Developing AI Tools: Building new tools and platforms for AI-assisted development.
• Integrating AI into Workflows: Finding ways to seamlessly incorporate AI into the development process.