Balancing AI and Coding: Insights from Junior Python Interview

Introduction

At Nexcrest LLP, a leading tech company in Kannur, we recently conducted interviews for a Junior Python Developer role. Our aim was to hire Junior Developer and explore between balancing AI and Coding knowledge, reflecting our commitment to integrating advanced technologies while valuing foundational programming skills.

The Machine/Coding test: Coding with and without AI

We presented candidates with a Python coding challenge and asked them to solve it:

1. Manually: Using their own coding skills and knowledge.
2. With AI Assistance: ​Candidates were encouraged to utilize AI tools such as Claude, DeepSeek, and Qwen to generate or refine code, or any other AI tools they were familiar with. This approach allowed candidates to leverage tools they were comfortable with, promoting a more personalized and effective problem-solving process.

The goal was to understand how AI impacts coding efficiency and whether it complements or replaces the need for deep technical knowledge.

Key Takeaways from the Interview

1. AI is a Game-Changer

AI tools like ChatGPT, Claude, and DeepSeek proved to be incredibly useful:

• Faster Solutions: Candidates completed tasks in less time by leveraging AI-generated code snippets.
• Debugging Made Easy: AI tools helped identify and fix errors quickly.
• Idea Generation: AI provided creative solutions and alternative approaches to problems.

2. Knowledge is Still King

While AI tools were helpful, they couldn’t replace the need for core coding knowledge:

• Customization: For small updates or specific changes, manual coding was essential.
• Understanding Logic: Candidates who understood the logic behind the code could optimize AI-generated solutions better.
• Problem-Solving Skills: Deep knowledge of Python and programming concepts allowed candidates to tackle unique challenges that AI couldn’t handle alone.

3. The Perfect Balance: AI + Learning

The interview highlighted the importance of balancing AI and learning:

• Use AI as a Tool: Let AI handle repetitive tasks, generate boilerplate code, or provide quick solutions.
• Learn the Basics: Invest time in understanding programming concepts, algorithms, and problem-solving techniques.
• Stay Updated: Continuously learn and adapt to new tools and technologies.

​In our recent Junior Python Developer interviews at Nexcrest LLP, candidates were encouraged to use AI tools like ChatGPT and DeepSeek to generate or refine code. While options such as Claude and GitHub Copilot were available, candidates predominantly chose ChatGPT and DeepSeek, possibly due to familiarity or specific feature preferences.​

AI Tools Used in the Interview:

• ChatGPT:
  • Known for its natural language processing capabilities, ChatGPT assists in generating code snippets, explaining concepts, and debugging.​
• DeepSeek:
  • Specializes in code analysis and optimization, helping identify inefficiencies and improve code quality.​

Note on GitHub Copilot:

GitHub Copilot, powered by OpenAI’s Codex, offers real-time code suggestions within integrated development environments (IDEs) like Visual Studio Code. It’s designed to enhance coding efficiency by providing context-aware code completions. Some developers find Copilot particularly useful for hands-on coding tasks due to its seamless integration with coding environments.

The choice of AI tools varied among candidates, reflecting individual preferences and familiarity. This diversity in tool usage underscores the importance of balancing AI assistance with foundational coding knowledge to adapt to various technologies effectively.

Why This Matters for Aspiring Developers

For junior developers and coding enthusiasts, this experiment offers valuable lessons:

• Don’t Rely Solely on AI: While AI tools are powerful, they can’t replace the need for deep technical knowledge.
• Use AI to Enhance Productivity: Let AI handle repetitive tasks, but always understand the logic behind the code.
• Keep Learning: The tech industry evolves rapidly, and staying updated is crucial for long-term success.

Conclusion

​At Nexcrest LLP, we believe in the power of balancing AI and coding knowledge. Whether you’re a beginner or an experienced developer, striking the right balance between AI tools and coding expertise is key to staying ahead in the tech world.

Explore our blog for more insights on AI and coding! Stay updated with the latest trends in AI, coding, and technology at NexCrest LLP’s official blog.

Claude AI: https://claude.ai​

DeepSeek AI: https://www.deepseek.com