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Vibe coding is more than a trend; it’s the next leap in modern development, fusing AI, no-code/low-code, and advanced collaboration. In 2025, vibe coding platforms will let solo developers, design teams, and even non-coders create production-ready software at record speed. These platforms blur the line between code and creativity, supporting everything from quick prototypes to robust enterprise systems. If you’re aiming to move faster, break silos, and unlock new ideas, vibe

LangChain and Rasa take different approaches to conversational systems, which affects how you design, deploy, and maintain them. LangChain orchestrates large language models for generative AI applications, while Rasa provides intent-based conversational AI with structured dialogue management. Rasa, around since 2016, offers a mature system for production-ready, structured conversations. LangChain, newer and focused on LLM workflows, gives developers flexibility to experiment

AI agents are software systems  designed to carry out tasks and coordinate workflows by interacting with data, APIs, and internal tools. They can assist with multi-step processes such as gathering and validating information, managing operational workflows, and integrating across platforms without constant manual intervention. An IBM report  finds that 70 % of executives consider agentic AI significant for their organization’s future, while 76 % are actively experimenting to e

LangChain focuses on building applications  with large language models, while TensorFlow provides a general-purpose framework for machine learning across text, images, and structured data. LangChain appeared in 2022 for LLM workflows, and TensorFlow has been around since 2015 for broader ML tasks. The right choice depends on your project: chatbots are simpler with LangChain, and computer vision is easier with TensorFlow. Let’s compare the two frameworks in detail. What is Lan