EncodedotsTechnolabs
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6 slides
Mar 10, 2025
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About This Presentation
For any software development company, the future still holds partly the mystery of AI-driven coding. While AI tools are already adept at delivering the code of an entire application or website, human intervention is still proving to be critical. But how long is the scenario going to remain the same?...
For any software development company, the future still holds partly the mystery of AI-driven coding. While AI tools are already adept at delivering the code of an entire application or website, human intervention is still proving to be critical. But how long is the scenario going to remain the same? In this blog post, we would like to answer many of these questions.
Learn how to approach AI changes in software development. Discover key skills and mindsets needed to thrive in the evolving tech industry.
WHAT WILL BE THE FUTURE OF SOFTWARE DEVELOPERS AND ENGINEERS? Can every developer think of joining an AI software development company that requires only a few super-skilled human engineers to monitor and bring human elements while AI tools generate code? Many industry leaders think new skills like data modeling, data engineering, and data analytics will rule the future of AI.
What does AI do in the field of software development? AI brings the edge of intelligent automation in the field of software development. It does so not just by generating code but also through test automation and implementation of best practices and workflows. Here are some of the ways AI is shaping software development. Code Automation Precise Code Cleaning and Bug Detection Streamlining Workflows Personal Coding Assistant AI-powered Test Automation Leveraging Best CI/CD Practices
THE MOST IMPORTANT DEVELOPER SKILLS TO STAY RELEVANT IN THE AI AGE Machine Learning (ML) and Data Science Neural Networks and Deep Learning Natural Language Processing (NLP)
ENDING NOTES Finally, software engineers and developers should not be apprehensive of AI threats. Instead, they should focus on managing technical debt and reshaping their skill set as the technologies evolve. Continuous learning and up skilling are what can make developers stay on the edge to meet AI challenges competitively and convincingly.
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