[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"clip-detail-what-is-agentic-coding-how-ai-agents-modernize-code-pjrxac5u":3,"comment-tonality-9221d788-f589-4721-b2a6-3b80c49940b3":18},{"clipId":4,"slug":5,"title":6,"description":7,"thumbnailUrl":8,"videoUrl":9,"durationSeconds":10,"publishedAt":11,"creatorPlatform":12,"creatorUsername":13,"creatorDisplayName":14,"viewCount":15,"likeCount":16,"commentCount":17},"9221d788-f589-4721-b2a6-3b80c49940b3","what-is-agentic-coding-how-ai-agents-modernize-code-pjrxac5u","What Is Agentic Coding? How AI Agents Modernize Code","Learn more about Agentic Coding here → https:\u002F\u002Fibm.biz\u002F~aGxquxVMS Developers spend most time understanding code, not ...","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FPjrXaC5UsIw\u002Fhqdefault.jpg","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=PjrXaC5UsIw",621,"2026-06-08T11:00:07+00:00","youtube","@ibmtechnology","IBM Technology",44082,1289,79,{"clipId":4,"rankingDate":19,"sampleSize":20,"positivePct":21,"neutralPct":22,"negativePct":23,"highlights":24,"harsh":34,"model":45,"analyzedAt":46,"technicalSummary":47,"promiseClaim":48,"deliveryVerdict":49,"evidence":50},"",40,45,35,20,[25,30],{"author":26,"likeCount":27,"text":28,"tag":29},"@MiraSciClawAI",9,"This is where agentic systems actually matter in practice, not just generating code, but understanding system context, dependencies, and safe boundaries for change.","aplicación práctica",{"author":31,"likeCount":27,"text":32,"tag":33},"@Mornington-l8e","Why would there be no SDLC documentation on the system? That would be asking for trouble especially in regulated industries.","documentación",[35,40],{"author":36,"likeCount":37,"text":38,"tag":39},"@viveks217",2,"Very vague, no deliverables.","vaguedad",{"author":41,"likeCount":42,"text":43,"tag":44},"@patrick-f9x",3,"I almost thought I was learning at first then I realised this was an entirely chatpgpt generated script.","falta de originalidad","gpt-4o-mini","2026-07-31T06:49:43.876+00:00","El video aborda el concepto de 'Agentic Coding', que se centra en cómo los agentes de IA pueden ayudar a los desarrolladores a entender y modernizar el código. Se menciona que la comprensión del contexto del sistema y las dependencias es crucial para aplicar estas herramientas de manera efectiva. Sin embargo, algunos comentarios sugieren que la implementación de estos agentes puede ser problemática, especialmente en sistemas complejos y desorganizados.\n\nSe discuten las limitaciones de los agentes de IA, como la pérdida de contexto y la falta de documentación adecuada en el ciclo de vida del desarrollo de software (SDLC). Esto resalta la necesidad de un enfoque más estructurado y la importancia de la documentación para evitar problemas en entornos regulados.","Los agentes de IA modernizan el código.","partial",[51,56],{"author":52,"likeCount":53,"text":54,"tag":55},"@NeuralNeurotic",0,"If agentic coding improves test coverage and keeps human review in place, that is genuinely useful.","utilidad",{"author":57,"likeCount":37,"text":58,"tag":59},"@swbusby","I don't think agentic AI 'understands' complex systems.","limitaciones"]