SAY GOODBYE to Coding Jobs! AGI is Taking Over! (Should You Learn To Code 2024)

1. Coding landscape is rapidly evolving towards natural language programming.

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Shift towards coding in natural language is imminent, reducing the need for traditional coding skills.

• Nvidia CEO predicts coding in human language as the future norm.
• AI advancements like Alpha code 3 showcase the move towards automated coding.
• Future systems like Alpha code 3 could revolutionize software development.

2. AI-driven coding tools are reshaping the software engineering landscape.

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AI tools like Gemini and Alpha code 2/3 are enhancing coding capabilities, potentially automating coding tasks.

• Gemini's ability to understand, explain, and generate code across multiple languages.
• Alpha code 2's significant performance improvement over human competitors.
• Devon's AI software engineering capabilities hint at the future of coding automation.

3. Future coding careers face uncertainty due to AI advancements.

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Rapid AI progress may lead to automated coding, impacting traditional coding jobs and career prospects.

• AI's potential to run code autonomously poses a threat to manual coding roles.
• Tech industry layoffs and financial constraints hint at a challenging coding job market.
• Coding boot camps may no longer guarantee high-paying jobs due to industry shifts.

4. Coding skills remain valuable despite AI advancements.

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Learning to code is crucial as AI systems still require coding foundations for customization and troubleshooting, ensuring continued relevance in the industry.

• AI and machine learning tools like TensorFlow and PyTorch are built on programming languages.
• Understanding coding aids in utilizing AI tools effectively and gaining insights into algorithm workings.
• Coding skills enable customization, issue resolution, and deeper comprehension of AI and machine learning.

5. Demand for skilled software engineers remains strong.

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Despite concerns about automation, the software engineering field is projected to grow, with increased demand for skilled professionals in the coming years.

• The industry is expanding, with revenue increasing and a doubling in demand for software engineers since 2020.
• SAS companies are thriving, with the industry expected to reach $208 billion by 2023.
• AI is set to enhance programmer work rather than replace them entirely, offering tools to automate code generation.

6. Continuous industry monitoring is essential for career adaptability.

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Staying informed about industry trends and new tools is crucial for adapting to changes and seizing emerging career opportunities.

• Remaining proactive ensures timely adjustments to industry shifts and potential skill application in growing areas.
• Being alert to new developments prevents being left behind in rapidly evolving sectors.
• Early awareness of industry changes allows for meaningful career adjustments and skill utilization.