{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/659557afc7c0640016f29135/6814cd176ac0e5213b35a1e3?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"The Impact of AI on Google’s Coding Practices","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/659557afc7c0640016f29135/1746193608612-07670b8c-db3d-435e-8251-2af48a4efd64.jpeg?height=200","description":"<h2>AI’s Role in Google’s Code Generation</h2><p>Google has significantly integrated artificial intelligence (AI) into its software development processes, with over&nbsp;<strong>25% of new code now being generated by AI</strong>. This transformation is largely attributed to the introduction of advanced AI models, particularly those derived from Google’s Gemini large language model.</p>","author_name":"Danar Mustafa"}