Hello there, technophiles and enquiring minds! Today, we're delving into the exciting area of artificial intelligence-powered self-fixing and auto-coding. It's like having your own code wizard - however, as with any magic, there are arguments for and against it. Let us go on this adventure together, exploring the possibilities, obstacles, and everything in between.

The Advantages of Using AI for Coding Hero 

1: Quick Problem Resolution:

Consider a world in which your code could self-heal, much like a superhero swooping in to rescue the day. AI with self-repairing powers may find and correct errors and glitches faster than you can say "debug." This results in fewer downtime, more efficient workflows, and a more satisfied staff.

2. Increased Productivity: Time is money, and every minute matters in the world of coding. By automating repetitive activities and creating code snippets, auto-code capabilities have the potential to greatly increase productivity. Developers may therefore concentrate on the more creative aspects of their profession, pushing the envelope of innovation.

3. Reduced Human Error: Humans, being, well, humans, are prone to making mistakes. But what if there was a safety net in place? AI-powered self-repairing and auto-coding systems can serve as a diligent guardian, detecting possible errors before they cause disaster. This not only increases code quality but also gives engineers a sense of confidence.

4. Ease of Access: Coding can be frightening, and not everyone is an experienced developer. Self-fixing and auto-code features have the potential to democratize coding by making it more accessible to a wider audience. This openness could spark a boom in creativity and innovation across multiple industries.

5. Continuous Learning and Improvement: AI learns and evolves, much like a coding assistant who improves with each work. The system's capabilities are being refined as it confronts new obstacles and adapts to diverse coding styles. This never-ending learning loop could result in a code powerhouse at your fingertips.

The Drawbacks: Overcoming the Obstacles

1. Loss of Human Touch: Coding is an art form, and each coder brings a unique viewpoint and problem-solving abilities to the table. The fear is that depending too much on AI may result in a loss of the human touch - that special something that makes code not only functional but also elegant and efficient.

2. Job Displacement Fears: The fear of job displacement is one of the most important arguments surrounding AI in different areas, including coding. Do we still need an army of human developers if machines can code and fix themselves? To address these concerns, the correct balance of automation and human input is critical.

3. Ethical Issues: As artificial intelligence becomes more advanced, ethical questions arise. Who determines the moral compass for an AI system that fixes code? Can biases be accidentally included in algorithms? These are important questions to ponder as we delegate greater authority to intelligent robots.

4. Over Reliance on AI: Having an AI ally is excellent, but too much dependence can lead to complacency. Developers may become less attentive, expecting that AI will detect and correct all flaws. This arrogance may lead to missing key issues or ignoring the critical skill of manual debugging.

5. Learning Curve and Adaptation: Integrating self-repairing and auto-coding features into existing workflows is not an easy task. As developers adapt to new tools and processes, there will be a learning curve. Change resistance, combined with the time required for skill acquisition, may impede the seamless implementation of these technologies.

Conclusion

As we stand at the crossroads of invention, don't lose sight of the essence of coding: creativity, problem-solving, and the human touch. We can traverse the future with confidence by embracing AI as a valued companion rather than a replacement, ensuring that our coding activities continue to reflect the best of both worlds.