Redefining AI is the 2024 New York Digital Award winning tech podcast! Discover a whole new take on Artificial Intelligence in joining host Lauren Hawker Zafer, a top voice in Artificial Intelligence on LinkedIn, for insightful chats that unravel the fascinating world of tech innovation, use case exploration and AI knowledge. Dive into candid discussions with accomplished industry experts and established academics. With each episode, you'll expand your grasp of cutting-edge technologies and ...
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תוכן מסופק על ידי Daniel Aharonoff. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Daniel Aharonoff או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.
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Are A I Coding Assistants Overrated?
Manage episode 471015788 series 3472921
תוכן מסופק על ידי Daniel Aharonoff. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Daniel Aharonoff או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.
Read More: https://www.mindburst.ai/2025/02/are-ai-coding-assistants-worth-hype.html
In the rapidly evolving world of technology, A I coding assistants have emerged as both allies and adversaries for developers. While tools like GitHub Copilot and Tabnine promise to enhance productivity, a closer examination reveals that they often fall short of expectations. Issues such as limited context understanding and inconsistent quality in generated code can lead to frustration rather than efficiency. As the developer community navigates this duality, it's clear that while these A I tools can save time on routine tasks, they also pose risks to core programming skills. The future may lie in a collaborative approach, where human oversight and A I assistance coalesce to create a more effective coding environment.
…
continue reading
In the rapidly evolving world of technology, A I coding assistants have emerged as both allies and adversaries for developers. While tools like GitHub Copilot and Tabnine promise to enhance productivity, a closer examination reveals that they often fall short of expectations. Issues such as limited context understanding and inconsistent quality in generated code can lead to frustration rather than efficiency. As the developer community navigates this duality, it's clear that while these A I tools can save time on routine tasks, they also pose risks to core programming skills. The future may lie in a collaborative approach, where human oversight and A I assistance coalesce to create a more effective coding environment.
338 פרקים
Manage episode 471015788 series 3472921
תוכן מסופק על ידי Daniel Aharonoff. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Daniel Aharonoff או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.
Read More: https://www.mindburst.ai/2025/02/are-ai-coding-assistants-worth-hype.html
In the rapidly evolving world of technology, A I coding assistants have emerged as both allies and adversaries for developers. While tools like GitHub Copilot and Tabnine promise to enhance productivity, a closer examination reveals that they often fall short of expectations. Issues such as limited context understanding and inconsistent quality in generated code can lead to frustration rather than efficiency. As the developer community navigates this duality, it's clear that while these A I tools can save time on routine tasks, they also pose risks to core programming skills. The future may lie in a collaborative approach, where human oversight and A I assistance coalesce to create a more effective coding environment.
…
continue reading
In the rapidly evolving world of technology, A I coding assistants have emerged as both allies and adversaries for developers. While tools like GitHub Copilot and Tabnine promise to enhance productivity, a closer examination reveals that they often fall short of expectations. Issues such as limited context understanding and inconsistent quality in generated code can lead to frustration rather than efficiency. As the developer community navigates this duality, it's clear that while these A I tools can save time on routine tasks, they also pose risks to core programming skills. The future may lie in a collaborative approach, where human oversight and A I assistance coalesce to create a more effective coding environment.
338 פרקים
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